#LI-KG1 #LI-REMOTE

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

About the Role:

We are looking for a Business Analyst to join our Shipping Operations team and support IPSY’s monthly subscription execution and logistics functions. In this role, you will complete analyses to plan, review, and improve our monthly subscription distribution. You will also work with internal and external partners to enhance our member’s experience, help drive fulfillment strategy execution across our facilities and further develop internal review and reporting processes. This is a highly visible and collaborative role, where you’ll work closely with our warehouse and distribution partners as well as internal teams, such as Product, Marketing, and Operations.

This position reports to the Director of Shipping & International Operations and is a remote role based in Argentina.

What You’ll Be Doing:

• Build, maintain, and communicate detailed reporting and forecasting models to improve our monthly subscriptions distribution programs
• Coordinate with IPSY’s warehouses and distribution partners to ensure service-level consistency across different programs
• Develop and implement processes to support scalability
• Identify operational weaknesses and drive innovation
• Support ad-hoc analyses to drive strategic decisions within Operations
• Coordinate with other cross-functional teams to drive IPSY's business agenda

What We Are Looking For:

• Bachelor’s degree in Business, Computer Science, Mathematics, Economics, or other quantitative field
• 1-3+ years of professional experience performing analysis (ideally at an e-commerce, subscription, retail, or transportation company)
• Excellent SQL and data warehouse skills, and experience writing complex queries on large data sets
• Expertise with Microsoft Excel, Google Sheets, and data visualization and dashboard tools such as Tableau, Looker, or equivalent.
• Excellent attention to detail, problem solving, critical thinking, project management, and communication skills
• Experience creating and optimizing business and operational processes
• Ability to manage time effectively, set priorities, and meet deadlines
• Thrives collaborating on a team and with other stakeholders
• Flexible demeanor and ability to work in a fast-paced, entrepreneurial environment

Bonus if You Have:

• Preference given to candidates with supply chain or distribution experience
• Interest in beauty or subscription box industries

What We Offer:

• Competitive salary (USD)
• Paid time off & work from home flexibility
• Learning & development programs
  
  

LATAM Remote: Remote positions which may be performed in any of the countries where IPSY has established a Business presence: Argentina. (Only Argentina based applicants will be considered at this time)
IPSY is based in the U.S. and we partner with the local agency, Nexton, that assists us with employee recruiting and payroll. 

Please submit CV/Resume in English. 

If you need reasonable accommodation in the application or employment process, please contact us.

IPSY is based in the US and to ensure compliance with country specific employment laws we partner with the local agency, Nexton, that assists us with employee recruiting and payroll. Any personal information that you share with us is subject to our IPSY Policy.

#LI-SB 

#LI-Remote 

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

We recently announced that we're opening an office in Buenos Aires, and this role will be one of the first members of the team. Not ready to apply, or not seeing the right role yet? Sign up here to hear about future opportunities and events with the Webflow team in Argentina.

About the role:

• Location: Remote-first (Argentina)
• Permanent, full-time employee (this is not a contractor position)
• Application Information:
  • Application deadline: applications accepted on an ongoing basis until position is closed and filled
  • This posting is for a new position

As a Senior Infrastructure Engineer, you’ll … 

• Join our Data Stores team, which owns the reliability, scalability, and operational excellence of core datastores (MongoDB, PostgreSQL), including schema and index strategy, connection best practices, and performance tuning.
• Partner cross-functionally with product, application, and platform teams (including embedded engagements) to support new use cases, onboard new products, and unblock dependency-driven work.
• Reduce toil by designing and implementing automation and Infrastructure as Code (IaC) for datastore provisioning, upgrades, backups, and disaster recovery.
• Lead efforts to identify systemic datastore issues, drive root-cause analysis, and implement durable fixes to improve long-term stability.
• Establish guardrails, standards, and best practices to ensure consistent and scalable adoption of datastores across teams; anticipating growth and avoiding repeat failure modes.
• Guide and empower engineers on other teams to introduce new features and functionality into production in a safe, sustainable way.
• Occasionally dive into the main Webflow application (TypeScript, Node, or Go) to debug and sometimes fix production behavior.
• Participate in and continuously improve on-call and incident response processes.
• Help define the culture of this growing team as it expands its international presence.

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you 

• Either a background as an operations or production engineer with an enthusiasm for code, or a software engineer with an enthusiasm for systems and infrastructure.
• 5+ years of experience building, maintaining, and debugging distributed systems in a customer-facing environment with little to no downtime.
• Hands-on experience operating and scaling production datastores (MongoDB and/or PostgreSQL), including performance tuning, schema or index design, and incident-level troubleshooting.
• Experience supporting multiple teams using shared datastore infrastructure, including establishing guardrails, best practices, and patterns that scale with growth.
• Experience navigating and scaling multi-tier cloud environments on AWS or GCP using containerized and Kubernetes-based architectures.
• Experience with infrastructure-as-code tools such as Terraform or Pulumi, including managing stateful infrastructure.
• Enthusiasm for mentoring and sponsoring less-experienced engineers.
• Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

It would be a bonus if you had even one of the following:

• Have experience designing or operating datastore platforms used by many teams, rather than a single application.
• Have led or contributed to data migrations, major version upgrades, or the introduction of new database technologies in production.
• Have experience with managed database services (e.g., MongoDB Atlas, RDS, Cloud SQL) and navigating tradeoffs around cost, reliability, and operational control.
• Enjoy working in ambiguous problem spaces, helping define what “good” looks like for datastore reliability, scalability, and developer experience

Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying.

Our Core Behaviors:

• Build lasting customer trust. We build trust by taking action that puts customer trust first.
• Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
• Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
• Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar.

Benefits

• Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
• Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
• Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
• Wellness for the whole you. Access to mental health resources, therapy and coaching.
• Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. 
• Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
• Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.

Be you, with us

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice. 

About you

We are looking for a senior sw Engineer with Mobile Telecoms experience with a passion for the industry and its opportunities, particularly in the IoT market. You are familiar with 3GPP specifications and you are an excellent problem solver with a strong bias for collaboration and rapid, iterative development.

The opportunity 

The opportunity is within the Core Wireless team which is responsible for the design, development, deployment and maintenance of all mobile network infrastructure elements and associated backend and front end applications.

The Role:

• Design, build and maintain APIs, services, and systems across Telnyx’s Wireless stack
• Debug production issues across services and multiple levels of the stack.
• Work with engineers across the company to build new features.
• Improve engineering standards, tooling, and processes.
• Troubleshooting connectivity issues across roaming partners globally.
• Have multiple years of diverse professional software development experience with more than one programming language or platform. E.g. Go, Erlang, Elixir etc.
• Passion for robustness and correctness. Practical skills in automated testing.
• Understanding of relational databases, SQL.
• Knowledge of mobile wireless systems and protocols

Who we’re looking for:

• Innate curiosity.
• Strong sense of ownership.
• Willingness to learn and apply new knowledge to solve problems.
• Experience with IoT platforms and mobile network systems and protocols.
• Experience in the design and implementation of commercial IoT/M2M solutions
• Experience with multi-vendor IPX connectivity

Bonus points for

• Familiarity with message queues like RabbitMQ and Kafka.
• Familiarity with PostgreSQL
• Familiarity with more exotic databases/key-value stores such as ETS.
• Familiarity with Docker, Kubernetes, Consul, Jenkins, Prometheus.
• Basics of web front-end.

LI-REMOTE

LI-KG1

Mission of the role

You will be part of the team responsible for operating one of the largest and most complex hosting platforms in Europe.

Your mission will be to ensure the stability, performance, and evolution of the Stretch platform, working directly on critical production systems and contributing to the continuous improvement of a highly distributed infrastructure.

This is a strongly technical role with hands-on impact at scale, where your work will directly influence service quality and platform evolution.

You will collaborate closely with Hosting Technology teams and other web hosting teams within IONOS, with frequent interaction with international colleagues—particularly in Germany—to consolidate knowledge of existing systems.

 Responsibilities

• Operation, maintenance, and evolution of large-scale Linux infrastructure.
• Advanced (Level 3) support for complex platform incidents.
• Automation of processes using scripting (BASH, Python) and infrastructure tools.
• Operation and management of distributed storage systems (Ceph).
• Monitoring and analysis of the platform using observability tools (Grafana and similar).
• Continuous improvement of system architecture and stability.
• Collaboration with international teams to absorb knowledge from legacy systems.
• Participation in on-call rotation.

 Professional profile

Must have

• +3 years of experience in Linux system administration.
• Strong scripting skills in BASH and Python.
• Experience with configuration and automation tools:
  • Puppet or SaltStack
  • Ansible or Terraform
• Hands-on experience operating Ceph storage clusters in production environments.
• Experience with monitoring and observability tools such as Grafana.
• Fluent English, required for international communication.

Nice to have

• Knowledge of SQL databases (MySQL, PostgreSQL).
• Solid understanding of networking fundamentals.
• Experience with container technologies (Docker/Kubernetes).
• Knowledge of CI/CD pipelines.
• Experience in highly distributed or high-availability environments.

Soft skills

• Technical curiosity and continuous learning mindset.
• Ability to work in complex environments with incomplete documentation.
• Pragmatic approach to problem solving.
• Team player in international environments.
• Proactive attitude to independently build technical context.
• Participation in an on-call rotation (approx. 1 week every 6).

 Benefits

• Hybrid working model across any of the Arsys offices in Logroño, Alcobendas, Valencia, Barcelona, or Seville, with broad flexible working hours aligned with team coordination needs.
• Opportunity to work on one of the most advanced and large-scale hosting platforms in Europe.
• Direct exposure to highly complex distributed systems at significant scale.
• International technical environment with cross-country collaboration.
• Participation in critical projects with direct impact on service stability.
• Continuous training and professional development within a global technology organization.

At Arsys we value diversity and welcome all applications regardless of, for example, gender, nationality, ethnic or social origin, religion, disability, age, as well as sexual orientation and identity, physical characteristics, marital status or any other irrelevant factor subject to applicable law.

Why You'll Love This Role: 

As a Senior Site Reliability Contractor, you will be involved in coding infrastructure automation with Terraform and Github Actions CI/CD. In this role, you will focus on improving our monitoring using Datadog, Sentry, and Cloudwatch. It will be critical to improve and automate our release processes to deploy Newsela services. You will have the opportunity to develop a rapport with a domain of application developers to improve infrastructure and monitoring for Newsela services in their ownership

What You'll Be Doing:

• Be on an on-call rotation to respond to incidents that impact Newsela.com availability and provide support for developers during internal and external incidents 
• Maintain and assist in extending our infrastructure with Terraform, Github Actions CI/CD, Prefect, and AWS services
• Build monitoring that alerts on symptoms rather than outages using Datadog, Sentry and CloudWatch
• Look for ways to turn repeatable manual actions into automations to reduce on-call toil
• Improve operational processes (such as deployments, releases, migrations, etc) to make them run seamlessly with fault tolerance in mind 
• Design, build and maintain core cloud infrastructure on AWS and GCP that enables scaling to support thousands of concurrent users
• Debug production issues across services and levels of the stack 
• Provide infrastructure and architectural planning support as an embedded team member within a domain of Newsela’s application developers 
• Plan the growth of Newsela’s infrastructure 

About You:

• Technical

  • Infrastructure as code: use Terraform and Github CI/CD for automation, containerize our environments (Docker, ECS), and leverage cloud technologies to meet our goals
  • Systems: manage, configure and troubleshoot operating system issues, storage (block and object), networking (VPCs, proxies and CDNs), and administer high-availability datastores (mySQL, Postgres, Neo4J) and Redis clusters
  • Monitoring and instrumentation: implement metrics in Datadog, Sentry, log management and related systems, and Slack/JIRA integrations
  • Engineering practices: availability, reliability and scalability, as well as disaster recovery
  • Work in a variety of languages: Shell, IaC, Python, SQL

  Execution

  • Planning: familiarity with agile methodologies; use epics, issues to drive projects
  • Organization: personal and team workload organization, OKR leadership
  • Management: able to self-organize and accomplish tasks asynchronously

  Collaboration and Communication

  • Leading and contributing to scope and designs for issues, epics, and OKRs
  • Contributing to Newsela architecture diagrams, process diagrams and runbook documentation
  • Completing Root Cause Analysis (RCA) investigations and perform readiness reviews
  • Improving team practices through code reviews, handoffs of work and incidents

  Influence and Maturity

  • Knowledge sharing, mentoring within SRE and developer teams
  • Self-awareness, handling conflict in the team, providing and receiving feedback
  • Maintaining good relationships with other engineering teams at Newsela that help improve the product
  • Accountability: willing to proactively step in and do the right thing while providing candid and constructive feedback
  •  

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.

Why you’ll love working at Newsela:

• Health & Wellness: Comprehensive medical benefits with employer contribution to premiums and to HSA accounts. Additional benefits such as gym reimbursement, pet insurance, free access to the Calm app, Rocket Lawyer and more to help you stay healthy: mind, body, and soul. 
• Work From Home: We are a fully remote company. We provide a monthly tech stipend to support your WFH needs!
• Supporting ALL Families: Inclusive benefits to support you and your family, including parental leave, fertility support, adoption, and more! 
• Financial Wellbeing: Invest in your future with our 401(k) plan, which includes a employer match to help you build long-term financial security.
• Time Off: Flexible PTO, paid sick time off, company holidays plus winter break (Dec 24th - Jan 1st).
• Professional Development: Newsela offers an annual learning and development allowance to employees to attend external training sessions, classes, workshops, conferences, and educational materials to foster professional growth within their current role and career aspirations at Newsela.
• Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team

• We are looking for a Lead Analytics Engineer to join our data team.
• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
• You will provide clean and organized data sets to end users.
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:Data Modeling and Transformation

• Build new analyses and support existing ones using SQL and Python.
• Apply software engineering principles like version control and continuous integration to the analytics codebase.
• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.
• Help drive a change in the usage of data by actively surfacing insights to stakeholders.
• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.
• Manage large-scale data migrations in relational datastores.

Why you're a great fit:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team.  We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.

About the role

What are we looking for:

We are looking for a Senior Backend Engineer to join the backend team with outstanding software development talent proven by great work results/experience. Somebody that cares about code quality and not just get things done, but get things done right.

If you're smart, have great energy, can't think about a system without a CI/CD pipeline and you want to thrive in a fast paced environment, we are in sync.

What would you do at Fever?

About you

Must have skills:

• Strong knowledge on good practices, testing and design patterns
• You are proficient in business English
• You know how to deliver code from development to production
• Experience with RESTful APIs (implementation and consumption)
• Knowledge of relational databases and SQL

We use these technologies, so it would be a plus if you have experience in:

• Django/Flask
• PostgreSQL
• Redis
• Experience with event streaming platforms such as Kafka or RabbitMQ
• Experience working on agile methodology 
• Event communication between services
• Handling services with more than 1000 request/second.
• AWS, Docker and Kubernetes

Benefits & Perks

• "Relación de dependencia" contract.
• Osde 410 as medical insurance
• 40% discount on all Fever events and experiences
• Home office friendly anywhere in Argentina
• English Lessons
• WellHub Membership
• Opportunity to have a real impact in a high-growth global category leader
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance (including Base, Variable, and Stock Options).

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

The salary range for this role is $5,000 - $9,500 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this senior development role, with 8+ years of experience, the compensation range is $5,000 - $9,500  USD per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.

About the Role: 

We are seeking a talented and motivated Senior Software Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

As a Senior Software Engineer with Sezzle, you will work with a highly-motivated team to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well.

In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates.

This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.

Interview Process

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• Interview with recruiters (30 min)
• Coding assessment (~1.5 hours)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

What You'll Do: 

• Design software applications and features in Golang and React
• Help build out a distributed architecture, creating solutions that work within it, maintaining consistency while scaling highly
• Coordinate with internal company stakeholders to design market winning products
• Develop and collect metrics to drive continuous improvement of existing products
• Deliver high quality features which can be tested and adheres to reporting standards
• As needed, lead small development teams to bring a project to market
• Mentor other engineering teammates to help elevate their experience and knowledge

What We Look For: 

• At least 7 years of full-stack software engineering experience
• Experience bringing new ideas and building consensus on the path forward
• Experience with building and serving REST APIs using Go (preferably) and Java Python or a similar language.
• Experience working in a distributed, cloud-based architecture, with either design patterns like transactional outboxes, or queuing tools like RabbitMQ, SQS, Kafka
• BS in Computer Science or similar degree.

Preferred Knowledge and Skills:

• Experience with SQL based RDMS through an ORM tool
• Comfortable using observability platforms like Prometheus, or vendor solutions like NewRelic or Datadog to instrument your code for production monitoring and alerting.
• DevOps experience with CI/CD pipelines
• Familiarity with containerized micro-service architecture deployed with Kubernetes on AWS
• Demonstrated history of delivering commercial APIs and web applications
• A clear record of getting products to market and prioritizing solutions and improvements based on stakeholder/customer feedback.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #Full-time

The salary range for this role is $5,000 - $9,500 per month (Gross in USD) 

Hiring Manager: Matthew Sedlacek

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Senior Software Engineer with accounting and financial experience. This role offers an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for leadership and innovation.

This position is ideal for professionals who began their careers in accounting or finance and later transitioned into software engineering — individuals who now want to leverage that domain expertise to architect and scale technical solutions that solve complex financial challenges in fintech.

As a Senior Software Engineer, you will design, develop, and optimize high-impact systems that power Sezzle’s financial reporting, reconciliation, and automation workflows. You’ll partner closely with cross-functional teams — including Accounting and Finance — to ensure data integrity, streamline financial processes, and build robust, auditable systems that meet enterprise-grade standards.

Your role will extend beyond development. You’ll mentor engineers, shape technical direction, and bring a strong sense of ownership to every project you lead. You should be able to build high-quality, innovative, and fully performing software in compliance with coding standards, technical design, and regulatory best practices.

Compensation:

For this senior development role, with 8+ years of experience, the compensation range is $5,000 - $9,500 USD per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.

Interview Process

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• Coding assessment (~1.5 hours)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

What You'll Do: 

• Collaborate with cross-functional teams to enhance and maintain software solutions for financial processes.
• Participate fully in the software development lifecycle, from design through deployment.
• Build new features and products as part of an integrated engineering team.
• Leverage accounting background to identify gaps and improve automation and reconciliation workflows.
• Evaluate and deploy software tools, processes, and metrics.
• Provide support and consulting on software systems usage.
• Ensure compliance with project plans and industry standards.
• Design software applications and features in Golang
• Build reports and automations using Python and SQL.
• Help build out a distributed architecture, creating solutions that work within it, maintaining consistency while scaling highly
• Coordinate with internal company stakeholders to design market winning products
• Develop and collect metrics to drive continuous improvement of existing products
• Deliver high-quality, testable features that meet reporting and compliance standards.
• Mentor other engineering teammates to help elevate their experience and knowledge

What We Look For:

• At least 7 years of full-stack software engineering experience
• Experience bringing new ideas and building consensus on the path forward
• Experience with building and serving REST APIs using Go and Java Python or a similar language.
• BS in Accounting, Computer Science or similar degree, or equivalent work experience.

Preferred Knowledge and Skills:

• Prior experience as an accountant or financial analyst.
• Solid understanding of financial operations such as reconciliation, reporting, and compliance.
• Experience in banking or financial institutions is a plus
• Proficient in multiple programming languages (e.g., Python, Java, Go) and experience with database systems like MySQL or PostgreSQL.
• Familiarity with software engineering tools, software development methodology, and release processes.
• Comfortable using observability platforms like Prometheus, or vendor solutions like NewRelic or Datadog to instrument your code for production monitoring and alerting.
• Familiarity with containerized micro-service architecture deployed with Kubernetes on AWS
• Demonstrated history of delivering commercial APIs and web applications

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

Equal Employment Opportunity: Sezzle Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, pregnancy, or any other legally protected status. Sezzle recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting our mission.

#Li-remote #Full-time

The salary range for this role is $6,000 - $12,500 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 12+ years of experience, the compensation range is  $6,000 - $12,500 per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.

Interview Process

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• Interview with recruiters (30 min)
• Coding assessment (~1.5 hours)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

About the Role: 

We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.

In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.

This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.

What You'll Do:

• Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
• Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
• Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
• Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
• Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
• Mentor engineers and champion a culture of learning, innovation, and operational excellence.
• Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.

What We Look For:

• 12+ years of professional software engineering experience, including significant backend experience.
• Deployed significant changes to a production application in the past 30 days.
• Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
• Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
• Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
• Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Preferred Knowledge and Skills:

• Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
• Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
• Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
• Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
• Working knowledge of TypeScript, React, or React Native.
• Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
• Track record of shipping commercial APIs and data-driven applications in high-growth environments.
• Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

The salary range for this role is negotiable, the range being $6,000-$12,500 per month (Gross in USD), based on location and experience level.  

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 12+ years of experience, the compensation range is  $6,000 - $12,500 USD based on location and experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience

About the Role: 

We are seeking a talented and motivated, best-in-class Principal Engineer for our Data Infrastructure. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

Sezzle is growing; our data generation and consumption is growing with us at an increasing scale. Data is extremely valuable, and we want to empower the business, the engineers, and the rest of the organization to be able to read, write, and analyze large volumes of it quickly and efficiently.

Sezzle is a heavy consumer of MySQL, Postgres, and Redshift, leveraging AWS tooling with Aurora RDS and DMS. We use DBT-based transformations and similar toolkits to populate a rapidly growing data lake that supports multiple data warehouses. It’s scaled well with us so far, and we’re looking to continue improving it, but we also want to step into new tooling and technologies.

What you’ll do: 

• End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
• Lead optimizations in database and query performance.
• ​​Build and maintain tooling to help manage and upgrade our data infrastructure, continually improving with migrations and optimizations.
• Partner with Development to ensure we ship solid queries against a battle-tested schema to meet the needs of our products and business.

• Help Sezzle evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of writes and events while performing complex ETL.
• Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data infrastructure.
• Help data engineers and analysts optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.

What We look for: 

• 12+ years of experience in DBA, SRE, or Data Engineering roles, with a strong track record of scaling production-grade systems.
• Deep expertise with MySQL, Postgres, AWS Redshift or similar products, including performance tuning, table design, and workload management.
• Advanced proficiency in SQL.
• Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT, AWS DMS, or similar tools.
• Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns.
• Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.

Preferred Knowledge and Skills:

• Prior experience in high-growth, data-intensive fintech or similar regulated environments.
• Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake.
• Some background in designing scalable, fault-tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing anywhere from 100GB to 1 TB of new data a day
• Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming).
• High enthusiasm for using AI to be as productive as possible.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Marketing Analyst- Comms who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

The Marketing Analyst - Comms, will sit at the intersection of data, CRM strategy, and AI-driven efficiency. We’re looking for an execution-oriented person who owns their work from end-to-end. You'll dive into the details of how our campaigns operate across email, push, SMS, and in-app channels, spot friction and inefficiency, and design smarter ways forward. You'll spend most of your time inside Braze, Sezzle's primary consumer-focused CRM and marketing automation platform, building and analyzing campaigns across email, push, SMS, and in-app channels. You'll dig into performance data to identify what's working, surface gaps in our consumer journeys, and develop new comms to fill them. You'll also look for every opportunity to apply AI tools to make the team's output faster, sharper, and more scalable.
This isn't a role where you wait for assignments. We want someone who can look at a set of data, identify the opportunity, and start building toward it then communicate what  they found and why it matters to the team around them.

What You'll Do:

• CRM Campaign Execution & Analysis

  • Build, launch, and iterate on campaigns and canvases in Braze across email, push, SMS, and in-app channels.

  • Audit existing consumer journeys to identify engagement gaps, drop-off points, and missed messaging opportunities.

  • Develop segmentation strategies and personalized comms that improve activation, engagement, and retention.

  • Support A/B test design, execution, and readout — translating results into clear, actionable recommendations.

  • Maintain performance dashboards and reporting frameworks that make campaign data interpretable for the broader marketing team.

  • Track KPIs including DAU, ARPDAU, LTV per user, open rates, click rates, and conversion, and surface insights tied to those metrics.

  • Effectively manage our marketing CRM tool to drive new and innovative use cases that can be shared across the team

  • Write SQL queries to investigate issues and campaign results using internal data

  AI, Automation & Process Optimization

  • Identify opportunities to apply AI tools and automation across marketing workflows from copy generation to campaign QA to performance analysis.

  • Build and iterate on tools, templates, and agents that reduce manual effort and improve output consistency.

  • Stay current on emerging AI/automation capabilities and bring concrete recommendations for how they can be applied within Sezzle's marketing stack.

  Cross-Functional Collaboration

  • Partner with marketing, product, data, and engineering teams to align on tooling decisions and ensure smooth implementation.

  • Serve as a connector between technical teams and marketing stakeholders, translating requirements in both directions.

  • Facilitate adoption of new tools and workflows by developing documentation, training materials, and hands-on support for team members.

  • Identify and flag integration risks early; bring concrete mitigation recommendations.

What We Look for:

• Skills & Competencies

  • Hands-on experience building or implementing AI tools, agents, and automation in a professional setting.

  • Strong analytical skills, comfortable working with data, running queries, and presenting findings with context.

  • Experience in consumer marketing operations, CRM platforms (Braze or similar), or marketing technology stacks; Braze experience is a plus.

  • Ability to identify process inefficiencies and develop structured, scalable solutions.

  • Excellent written and verbal communication skills, and you can explain technical concepts clearly to non-technical teammates.

  • Basic project management skills; organized, proactive, and reliable with deadlines.

  • Experience with segmentation, A/B testing, and performance reporting.

  • Strong experience in data visualization tools and SQL.

  • Ability to prioritize and manage multiple tasks simultaneously 

  Educational & Professional Experience

  • Background in computer science, analytics, engineering, AI, and/or related fields.

  • Exposure to business, marketing, finance, or other related fields

  • Previous internships or academic projects involving campaign management, marketing analytics, and content creation preferred.

  • Professional, academic or personal projects that demonstrate an ability to creatively use AI to create efficiencies.

Preferred Qualifications:

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.

• Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.

• Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.

• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.

• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).

• Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.

• Familiarity with cloud-native development using AWS.

• Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.

• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.

• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).

• Experience with Golang is a plus (or willingness to learn).

• Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things

• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is 2,500 - 3,333 USD  per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.

You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.

What You'll Do:

• Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
• Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
• Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
• Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
• Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
• Apply systems thinking to ensure reliability, performance, and security across platforms.
• Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
• Participate in production support and incident response for team-owned systems, learning operational best practices.
• Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
• Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.

What We'll Look For:

• 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Preferred Qualifications:

• Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
• Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
• Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
• Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
• Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
• Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Familiarity with cloud-native development using AWS.
• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
• Experience with Golang is a plus (or willingness to learn).

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $3,333 - $6,000 per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.

You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.

What You'll Do:

• Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
• Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
• Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
• Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
• Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
• Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
• Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
• Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.

What We Look for:

• 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Preferred Qualifications:

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
• Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
• Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
• Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
• Familiarity with cloud-native development using AWS.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
• Experience with Golang is a plus (or willingness to learn).
• Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Searching for a Backend Engineer long-term contractor to work from home in Latam! Please submit your CV/Resumé in English, thank you!

Do you live and breathe backend development, with languages like Python and SQL as your trusty companions? Are you energized by the challenge of architecting robust and scalable systems, seamlessly integrating APIs and crafting elegant solutions? If you find joy in building the backbone of applications that power our digital world, then you have the perfect ingredients to thrive as our exceptional Backend Engineer, shaping the future of our technology stack!

Responsibilities

• Designing and implementing server-side applications using Python
• Writing complex SQL queries using Trino to gather analytics data from multiple sources
• Developing and maintaining microservices for our platform
• Designing and optimizing databases, both relational and non-relational
• Collaborating with cross-functional teams to integrate APIs and ensure smooth functionality
• Writing efficient and reusable code, adhering to best practices and coding standards
• Performing code reviews to ensure high-quality codebase
• Developing comprehensive end-to-end integration tests to ensure systems function as intended
• Troubleshooting and debugging issues in backend systems
• Staying up to date with the latest technologies and industry trends to drive continuous improvement

Qualifications

• English language proficiency required
• BS degree in Computer Science or a similar technical area of study, or equivalent practical experience
• 2-4 years of experience as a software engineer/developer, with a focus on backend development
• Proficiency in Python
• Strong experience with databases, SQL, and database optimization techniques
• Experience working with microservices architecture
• Familiarity with API design principles and RESTful services
• Solid understanding of software development lifecycle and Agile methodologies
• Excellent problem-solving and troubleshooting skills
• Strong collaboration and communication abilities, with the capability to work in cross-functional teams

Nice to Have

• Advanced degree in Computer Science or related field
• Experience/certification with cloud platforms like Amazon Web Services or Google Cloud Platform
• Familiarity with containerization technologies like Docker
• Knowledge of message queues and streaming platforms, such as Apache Kafka
• Understanding of caching mechanisms and performance optimization techniques
• Experience with performance testing and profiling tools
• Familiarity with machine learning concepts and frameworks

You’ll Grow at Linqia

Influencer marketing is chaotic. Linqia brings the calm in the chaos. We’re a leader in the influencer marketing industry. We're a mature and growing tech start-up, having experienced 100% year-over-year growth and break-even. We partner with the world's largest brands including General Motors, Bayer, Kimberly-Clark, Unilever, Albertsons, McDonalds, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing and leveraging creator content. We combine the science and accountability of online media with award-winning creativity to deliver the greatest return on investment and results for our clients’ paid, owned, and earned media.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.

Acerca del Grupo QuintoAndar
Somos el Grupo QuintoAndar, el mayor ecosistema inmobiliario de América Latina. Guiados por un propósito compartido de ayudar a las personas a amar el lugar donde viven, contamos con un portafolio diversificado de marcas y soluciones en diferentes países de América Latina y también con un Hub de Tecnología en Portugal. Desarrollamos tecnologías e innovación para transformar e impulsar la experiencia de vivienda en su totalidad.

Juntas, nuestras marcas líderes ofrecen soluciones que cubren todas las etapas del proceso de viviendar: Inmuebles24 (México), Zonaprop (Argentina), Adondevivir y Urbania (Perú), Plusvalía (Ecuador), ImovelWeb y QuintoAndar (Brasil).

Con el apoyo de un equipo de inversionistas y consultores de clase mundial, como Kaszek, Qualcomm, General Atlantic y SoftBank, QuintoAndar Group está actualmente valorado en más de 5.100 millones de dólares y sigue creciendo año tras año.

Aquí trabajarás con los mejores profesionales del mercado, en un entorno que respira innovación, colaboración y alto rendimiento. Para conocer más sobre nuestra historia, visita https://grupoquintoandar.com/es/.

Ubicación y Modelo de Trabajo Híbrido 
Nuestro equipo de Software Engineer trabaja bajo el modelo “híbrido”, siendo necesario estar presencialmente en la oficina, ubicada en Buenos Aires, 1 vez por semana al menos.

Etapas  del Proceso Selectivo:

Las etapas de nuestros procesos de selección tienen como objetivo evaluar tus experiencias y brindarte la oportunidad de conocer a nuestros equipos y oportunidades de carrera, y están estructuradas en los siguientes pasos:

• People Interview
• Tech Screening 
• Tech Interview 1
• Tech Interview 2

Acerca del puesto 

Estamos buscando un Data Engineer talentoso y motivado para unirse a nuestro equipo. Las responsabilidades de este rol incluyen diseñar, construir y mantener una plataforma de datos sólida, de autoservicio, escalable y segura, así como pipelines de datos de extremo a extremo que permitan a Data Scientists generar insights y impulsar la toma de decisiones estratégicas.

Responsabilidades de un Data Engineer en QuintoAndar:

• Construir y mantener una plataforma de datos de alto rendimiento que satisfaga las necesidades de la empresa, se conecte con las soluciones de producto y lidere la innovación analítica, habilitando arquitecturas robustas y plataformas eficientes.

• Crear y mantener pipelines de datos, considerando la lógica de negocio que mejor se aplica al área en cuestión, eligiendo niveles de agregación, agrupación y transformación de campos, verificando la calidad de los datos y realizando su limpieza.

• Crear modelos de datos y flujos de trabajo de transformación, permitiendo la creación de abstracciones de datos claras y accesibles.

• Ser responsable de todo el ciclo de vida del desarrollo de código (monitoreo de despliegues, documentación, rendimiento, seguridad, incorporación de métricas y alertas, cumplimiento del presupuesto de SLO, entre otros).

• Investigar inconsistencias y ser capaz de rastrear el origen de las diferencias (data troubleshooting).

• Permitir que los equipos de toda la empresa accedan y utilicen los datos de manera más efectiva mediante herramientas de autoservicio y datasets bien modelados.

• Alinear con stakeholders para comprender sus necesidades principales, manteniendo una visión holística del problema y proponiendo soluciones extensibles, escalables e incrementales.

• Realizar PoCs y benchmarks para determinar la mejor herramienta para un problema determinado, y decidir si se debe utilizar una solución existente o desarrollar una internamente.

• Contribuir a definir la visión estratégica, cruzando límites entre equipos y servicios para resolver problemas.

• Promover el valor del análisis y la ingeniería de datos dentro de la organización y fomentar una cultura data-driven.

• Ser una referencia dentro del chapter en conceptos técnicos, herramientas y/o mejores prácticas de desarrollo.

Lo que buscamos:

• 7 o más años de experiencia en roles de Data Engineering.

• Especialización en tecnologías, soluciones y conceptos de Big Data (Spark, Hadoop, Hive, MapReduce) y múltiples lenguajes (YAML, Python).

• Experiencia con Airflow, Spark, AWS y Databricks.

• Base sólida en principios de ingeniería de software, con experiencia trabajando en sistemas centrados en datos.

• Experiencia con soluciones de almacenamiento columnar y/o conceptos de data lakehouse.

• Dominio de Python, u otro de los principales lenguajes de programación, y pasión por escribir código limpio y mantenible.

• Conocimiento sólido en optimización del rendimiento de consultas SQL.

• Experiencia construyendo modelos de datos multidimensionales (esquemas Star y/o Snowflake).

• Comprensión del ciclo de vida de los datos y conceptos como lineage, gobernanza, privacidad, retención, anonimización, entre otros.

• Conocimientos en áreas de infraestructura como contenedores y orquestación (Kubernetes, ECS), estrategias de CI/CD, infraestructura como código (Terraform), observabilidad (Prometheus, Grafana), entre otros.

• Dominio del inglés: nuestro código, documentación, herramientas y materiales suelen estar estructurados en inglés.

• Excelentes habilidades de comunicación, compartiendo de forma proactiva y colaborando tanto con stakeholders técnicos como no técnicos para traducir necesidades de negocio en soluciones de datos escalables.

• Experiencia como tech lead / project lead o similar.

• Curiosidad, atención al detalle y capacidad para desenvolverse en un entorno dinámico y orientado a datos.

Te destacarás si:

• Has participado en la construcción de plataformas de datos a gran escala para grandes volúmenes de datos y equipos, utilizando tecnologías de Big Data como Spark, Trino, Hive, Atlas, Ranger, entre otras.

• Tienes experiencia en la construcción de capas semánticas (semantic layers).

Importante:

• ¡Nuestro proceso de selección comienza con el registro! Si realmente deseas formar parte de nuestro equipo, asegúrate de completar  esta primera etapa. Revisamos cada postulación con atención y siempre damos una respuesta, aunque la persona no siga en el proceso. 
• Toda la comunicación se realiza por correo electrónico, así que estate atento a nuestros mensajes y libera el dominio @quintoandar.com.br para que nuestros correos no terminen en la carpeta de spam.

Beneficios

• Plan médico
• Wellhub
• Licencia parental extendida
• Reintegro de Guardería
• Gastos de teletrabajo (monto mensual)
• Descuentos en servicios del día a día
• Día libre por cumpleaños, Día del Padre y Día de la Madre

Diversidad e Inclusión en Grupo QuintoAndar

Durante la inscripción, verás algunas preguntas sobre diversidad. Estas son confidenciales y tienen como objetivo apoyar nuestras acciones de diversidad e inclusión. En vacantes afirmativas, la información podrá ser utilizada para verificar el alineamiento con el público objetivo de la oportunidad y, en estos casos, podría tener carácter eliminatorio. Para vacantes no afirmativas, esta información no afecta tu postulación y se utiliza únicamente para ayudarnos a mejorar continuamente nuestras prácticas e iniciativas de inclusión a lo largo de tu trayectoria con nosotros.

Privacidad y Protección de Datos

El Grupo QuintoAndar actúa de conformidad con las leyes de privacidad y protección de datos, y garante la seguridad de sus datos personales. Para saber más, consulte nuestro Aviso de Privacidad para Personas Candidatas. Si tiene dudas o desea ejercer sus derechos como titular de los datos, póngase en contacto con nosotros a través de nuestro Canal de Atención.

#LI-SF4

Type: Contract, per-project.
Location: Remote — within LATAM with ET ±1 hour
Availability: Contractor (40 hours per week)

Job Title: Data / Platform Engineer (AWS & Data Pipelines)

We are looking for a highly motivated Data / Platform Engineer to join our team and help design, build and operate scalable data pipelines and cloud-based solutions.

In this role, you will work closely with engineering and product teams to build both streaming and batch data pipelines, contribute to system design, and help drive automation and monitoring across our data platform.

Key Responsibilities

• Design, build, maintain and primarily operate scalable streaming and batch data pipelines, with a strong focus on maintenance, monitoring, troubleshooting and continuous improvement of existing pipelines.

• Work with AWS services, including Redshift, EMR and ECS, to support data processing and analytics workloads.

• Develop and maintain data workflows using Python and SQL.

• Orchestrate and monitor pipelines using Apache Airflow.

• Build and deploy containerized applications using Docker and Kubernetes.

• Break down high-level system designs into well-defined, deliverable tasks with realistic estimates.

• Collaborate with cross-functional teams in a fast-paced and distributed environment across the US and Europe.

• Drive automation, observability and monitoring to improve reliability, performance and operational efficiency.

• Support knowledge transfer and ownership handover as part of the planned transition to the consuming team.

Required Qualifications

• Strong professional experience with Python and SQL.

• Hands-on experience with AWS, specifically Redshift, EMR and ECS. AWS experience is mandatory (other cloud providers are not considered equivalent for this role).

• Proven experience building and operating both streaming and batch data pipelines.

• Professional experience with Apache Airflow, Docker and Kubernetes.

• Ability to translate high-level system designs into actionable technical tasks and realistic estimates.

• Comfortable working in dynamic and fast-paced environments and in distributed teams.

• Strong interest in automation and monitoring.

• Strong hands-on experience with Apache Spark.

• Senior-level profile with strong autonomy, communication skills and ability to work effectively in distributed teams.

• Proven ability to transfer knowledge and support ownership handovers.

• Fluent or professional working proficiency in English (both written and spoken).

Nice to Have

• Previous experience in the telecom industry.

• Experience with machine learning systems and/or event-driven architectures.

• Experience with Apache Iceberg.
  
  (*) SOUTHWORKS only hires individuals from countries that are not blocked or sanctioned by the United States, including those identified on the United States Office of Foreign Asset Control (OFAC).

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Forward Deployed Engineer

The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify need(s) for integration with existing enterprise systems/services, workflow/process automation or customization/enhancement of the DevRev platform capabilities to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.

Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning the coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development, and AI/ML skills to ensure our customers get the most out of the DevRev platform. 

Job Description

As an Applied AI engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python etc. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. 

Objectives of this role will include:

• Design, develop and implement integrations, automations and customizations to integrate DevRev with customers’ tech stack and workflows, and ensure successful customer engagements.
• Utilize AI in novel ways to solve customer problems, including Generative AI techniques like prompt engineering for foundation large language models (LLMs) to enable great AI agent experience.
• Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
• Be proactive in communicating and keeping constant feedback loops to all key stakeholders including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing etc.
• Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.

Ideal Candidate Qualifications:

• Software engineering degree or equivalent educational or professional experience.
• Hands-on coding experience using TypeScript/JavaScript, Python, APIs, Webhooks, and SQL.
• Familiarity with Generative AI technologies including models like GPT-4, prompt engineering and fine-tuning.
• Knowledge of vector databases and data embeddings.
• Outstanding communication (written and verbal in English).
• Result-oriented work style, ability to get things done and a learning mindset.
• An endless passion for challenging work that requires high energy, full engagement and a self-founded need for high performance.

We are looking for a hands-on Senior Data Engineer to join a small team (2 Data Engineers + 1 Data Analyst). You will help scale our AWS-based data infrastructure, working primarily with industrial data sources and high-volume time-series data.

Responsibilities Will Include:  

• Engage directly with end users to understand how they consume data, and design solutions that serve their needs.
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.
• Evolve the Data Lakehouse—optimizing storage, performance, and data consistency.
• Manage orchestration workflows with complex dependencies and error handling.
• Implement data governance, security controls, and audit policies across the AWS ecosystem, leveraging services such as AWS Lake Formation for centralized data lake permissions and governance.
• Optimize performance and cost (FinOps); identify and resolve technical bottlenecks.
• Partner with the Data Analyst to deliver production-ready, analytics-optimized datasets.
• Build monitoring, alerting, and data quality testing for platform reliability.

Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related discipline is required.
• At a minimum, 5+ years of experience in Data Engineering, Analytics Engineering, or related roles.
• Deep hands-on experience with core AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis, and Lake Formation.
• Hands-on experience with Apache Iceberg (required).
• Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning).
• Solid grasp of ETL/ELT tooling and dimensional modeling best practices (Kimball).
• Experience preparing data architectures for visualization tools and operational/management reporting.
• Practical experience with NoSQL engines (e.g., DynamoDB) and relational SQL databases.
• Infrastructure as Code: Terraform or AWS CloudFormation.

Preferred Experience:

• Apache Airflow (MWAA experience preferred) or native AWS orchestration.
• Familiarity with dbt, Airbyte, or Fivetran.
• Experience automating CI/CD for Glue jobs or Lambda deployments.

Soft Skills:

• Senior peer mindset—leads through code reviews and mentorship, not hierarchy.
• Pragmatic decision-maker who picks the right tool for cost, efficiency, and project needs.
• Strong ownership of end-to-end data quality and system availability.
• Clear communicator who can translate business needs into technical solutions. 

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

The Role:

We are looking for a well-rounded, flexible Data Engineer with an interest in translating business goals into concrete solutions. You’ve been part of more than one team, you’ve demonstrated initiative on most of your projects, and you can tell us in technical detail what you did to help. Ideally you’ve worked with at least one devops team, and in at least one flavor of agile.  If you haven’t we won’t hold that against you. At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

What you’ll bring:

• Ability to realign client expectations when challenges arise (delays, change in scope, etc.)
• Proactively, and independently able to research knowledge needed to perform tasks (i.e., knows when to ask for help, and doesn't spend significant time on already-solved issues)
• You have the ability to identify potential technical solutions that apply to an internal/client situation (i.e., ability to connect technical solutions to a business need).
• You enjoy working with peers / new hires to help them understand and apply best practices
• You can prioritize multiple tasks and communicate the overall status of a project.
• You enjoy participating in technical design of systems, schemas, or pipelines and offer sound guidance

What we’re looking for:

• 3+ years of experience in core programming fundamentals, modern tools (IDEs, CLI, Git/version control), and basic debugging:
• Scripting languages like Python, Ruby
• Compiled languages like Java, Scala, C++
• MongoDB + Kafka are nice to have!
• Source Control Systems
• 2+ years of experience in Data Management Tools: 
• Pipeline management tools like Airflow or Luigi, and/or enterprise ETL tools like Informatica, SSIS or Datastage
• Devops tools like Terraform, Kubernetes, Docker
• Database Management Systems like BigQuery, Snowflake, PostgreSQL, mySQL, Oracle, MS SQL Server, Redshift
• 2+ years of discovery and assessment of a client’s portfolio, tools, and applications
• 2+ years of professional software and consulting experience
• Experience working in cloud environments (AWS or GCP) is a plus.
• Experience with Unix-based OSes a plus!

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Role type: Full-time
Team: Data Analytics
Reporting to: Director, Data Science
Office: BA
Right to work: US / BA

What's the role 

As a Senior Data Analytics Specialist at Brainlabs, you will independently deliver high-quality data analysis, reporting, and dashboards that drive client decision-making. You'll own end-to-end analytics projects, create compelling data narratives, and use advanced SQL, Python, or R to extract insights. This role is perfect for an analytically rigorous professional ready to take ownership of complex data challenges, using the outputs to drive more effective media programs.

What you do

• Independently deliver exploratory and diagnostic analyses with clear acceptance criteria, applying peer-reviewed analytical methods
• Own dashboard and reporting development in Looker, Power BI, or Tableau, creating concise narratives and compelling visualizations that prompt business decisions
• Lead development and delivery of high-impact client-facing analysis deliverables that contribute to scaling media or elevate our status as a strategic partner
• Perform data validation, QA, cleaning, feature engineering, and transformations to ensure data accuracy and reliability
• Utilize advanced SQL, Python, or R techniques for complex data manipulation and analysis
• Apply machine learning and regression analysis techniques, evaluating results and comparing different models through hypothesis testing
• Assist in test design, tracking, and readouts for experimentation initiatives
• Maintain project management hygiene with clear documentation and runbooks
• Progress certifications (including AI-related learning) and share learnings with the team

Who you are

• Has 2+ years of experience in data analytics, business intelligence, or a related field
• Demonstrates strong proficiency in SQL and at least one programming language (Python or R)
• Has hands-on experience with modern BI tools such as Looker, Tableau, or Power BI
• Possesses a solid foundation in statistics and data science methodologies, including regression analysis and ML fundamentals
• Can translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences
• Excels at working independently while collaborating effectively across teams
• Has experience in digital marketing analytics, media measurement, or performance marketing (preferred)
• Is detail-oriented with excellent project management and documentation skills

How you succeed

• You deliver accurate, timely analytics that directly inform client strategy and media optimization decisions
• Your dashboards and reports are highly valued by clients and internal teams for their clarity and actionability
• You consistently achieve high client satisfaction
• You proactively identify opportunities for automation and efficiency improvements
• You actively contribute to team knowledge sharing and continuous learning culture

Some benefits for you: ✨

• This is a full time job (en relación de dependencia).
• Hybrid salary scheme (50% paid in USD).
• 20 working days vacation plus all Argentina public holidays.
• Private healthcare (OSDE 210).
• Adaptive/hybrid working, with 3 days in our amazing Palermo Office (right opposite the Hippodrome!)
• Free breakfast and lunch in the office.
• Quarterly training sessions on wider business skills (pitching, strategy, client servicing)
• Mobility programmes - work from another country for up to 30 days!

#LI-CO1

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Senior Software Engineer to join our Data Platform team! 

In this position, you will play a pivotal role within our expanding Data team, to help build and scale our next-generation data platform, starting with foundational systems like Master Data Management (MDM) and expanding into a broader event-driven ecosystem. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. This is a highly impactful, hands-on role where you’ll design and implement distributed, event-driven systems that power analytics, data science, and operational use cases across the company.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Build core services for an event-driven, source-of-truth data platform on AWS
• Develop and operate Kafka-based pipelines and stream consumers
• Design systems where events are the source of truth and state can be rebuilt via replay
• Define patterns for idempotency, ordering, retries, and DLQs
• Design for auditability, replay, recovery, and rollback using S3 + Iceberg
• Build APIs and purpose-driven projections (read models) for downstream systems
• Design and evolve scalable, reliable distributed systems
• Make thoughtful tradeoffs across consistency, latency, and cost
• Establish best practices for event-driven architecture and data modeling
• Develop and orchestrate streaming and ELT pipelines from databases, APIs, and event streams
• Contribute to data warehouse (e.g., Snowflake) and data activation use cases where needed
• Integrate AI/LLM capabilities into data workflows and internal data products
• Monitor and optimize system performance, cost, and reliability
• Collaborate across engineering, data, and product teams to deliver impactful solutions 

You 

• 7+ years of backend or data engineering experience
• Strong programming skills in Java, Kotlin, Python, or Go
• Solid understanding of distributed systems and system design
• Hands-on experience with Kafka (or equivalent)
• Strong understanding of:
• Topic design, partitioning, consumer groups
• Idempotency, ordering, delivery semantics
• Replay, backfills, and failure handling
• Experience designing systems where event streams drive state and projections
• Strong experience with AWS (MSK, S3)
• Working knowledge of Snowflake or similar data warehouse
• Strong SQL and experience building ELT/streaming pipelines
• Strong experience with Postgres/MySQL
• Solid data modeling and performance optimization skills
• Understands event logs vs read models tradeoffs
• Ability to design systems from scratch and evolve architectures
• Familiarity with LLMs/AI tooling (e.g., embeddings, RAG, prompt design)
• Strong ownership mindset with end-to-end execution

Preferred

• Experience with Apache Iceberg
• Familiarity with Flink or stream processing frameworks
• Experience with CDC tools (e.g., Debezium)
• Experience with DBT, Reverse ETL, or modern data stack tools
• Experience with Terraform, Kubernetes (EKS)
• Exposure to MDM, identity, or data governance systems
• Familiarity with vector databases or AI-powered data systems

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom. 

Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.

The Mission

At Caylent, a Senior Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers.  We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference.  You will develop solutions designed by an architect.

You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer.  Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent.

Your Assignments

• Work with a team to deliver machine learning solutions on AWS for customers
• Participate in and contribute to daily standup meetings
• Develop and implement ML models, MLOps, and analytics
• Big data processing and preparation of training data for models

Your Qualifications

• Strong experience in building ML models for real world applications
• Strong experience in at least one of these:
• AWS ML Services/SageMaker
• ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
• MLOps tools such as MLflow, Kubeflow, Airflow
• Advanced analytics using time series forecasting and/or inferential statistics
• Strong experience in one or more of these data processing solutions:
• Big data processing platforms like Spark, Hadoop, or streaming platforms
• Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
• Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
• Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
• Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
• Excellent written and verbal communication skills

Benefits 

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs. 

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for an Analyst II on the Strategy & Operations (S&O) team within Trust & Safety. S&O plays a critical role across the business to deliver the insights, clarity, alignment, and operational rigor that enable teams to scale with impact.

As an S&O Analyst II, you will lead complex analytics initiatives that inform operational strategy, risk mitigation, and long-term planning. You will partner closely with leadership and cross-functional stakeholders to shape KPI frameworks, guide resource allocation, and proactively identify opportunities to strengthen platform safety and user trust.

The Job

• Own and evolve KPI frameworks that measure Trust & Safety performance, risk exposure, and operational health.
• Lead forecasting, capacity modeling, and scenario planning to inform hiring, investment, and prioritization decisions.
• Conduct deep-dive analyses into risk trends, enforcement quality, operational efficiency, and emerging platform challenges.
• Build scalable dashboards and self-serve reporting tools to increase visibility and enable faster decision-making.
• Identify structural inefficiencies and propose data-backed recommendations for process improvements.
• Partner with Product, Engineering, Policy, and Operations leaders to inform roadmap decisions through analytics.
• Design measurement frameworks to evaluate the impact of policy updates, tooling enhancements, and operational experiments.
• Support quarterly and annual planning cycles with business cases, performance modeling, and strategic insights.
• Contribute to elevating analytics maturity within Trust & Safety, including mentoring junior analysts where appropriate.

You 

• 2–5 years of experience in Strategy, Business Operations, Business Intelligence, or Data Analytics.
• Strong SQL proficiency and advanced Excel modeling skills.
• Experience building forecasting models, scenario analyses, and KPI frameworks.
• Demonstrated ability to independently scope and lead analytical projects end-to-end.
• Strong communication skills with the ability to influence senior stakeholders.
• Ability to connect operational metrics to broader business strategy.
• Detail-oriented with strong business judgment.
• Comfortable operating in ambiguous, high-impact environments.
• Experience in Trust & Safety, fraud prevention, compliance, or platform risk environments.
• Familiarity with experimentation design and enforcement quality measurement.
• Experience partnering closely with Product and Engineering teams, preferably within  ecommerce, fintech, marketplace, or social media companies.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom. 

#LI-RC1

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Searching for a Backend Engineer long-term contractor to work from home in Latam! Please submit your CV/Resumé in English, thank you!

Do you live and breathe backend development, with languages like Python and SQL as your trusty companions? Are you energized by the challenge of architecting robust and scalable systems, seamlessly integrating APIs and crafting elegant solutions? If you find joy in building the backbone of applications that power our digital world, then you have the perfect ingredients to thrive as our exceptional Backend Engineer, shaping the future of our technology stack!

Responsibilities

• Designing and implementing server-side applications using Python
• Writing complex SQL queries using Trino to gather analytics data from multiple sources
• Developing and maintaining microservices for our platform
• Designing and optimizing databases, both relational and non-relational
• Collaborating with cross-functional teams to integrate APIs and ensure smooth functionality
• Writing efficient and reusable code, adhering to best practices and coding standards
• Performing code reviews to ensure high-quality codebase
• Developing comprehensive end-to-end integration tests to ensure systems function as intended
• Troubleshooting and debugging issues in backend systems
• Staying up to date with the latest technologies and industry trends to drive continuous improvement

Qualifications

• English language proficiency required
• BS degree in Computer Science or a similar technical area of study, or equivalent practical experience
• 2-4 years of experience as a software engineer/developer, with a focus on backend development
• Proficiency in Python
• Strong experience with databases, SQL, and database optimization techniques
• Experience working with microservices architecture
• Familiarity with API design principles and RESTful services
• Solid understanding of software development lifecycle and Agile methodologies
• Excellent problem-solving and troubleshooting skills
• Strong collaboration and communication abilities, with the capability to work in cross-functional teams

Nice to Have

• Advanced degree in Computer Science or related field
• Experience/certification with cloud platforms like Amazon Web Services or Google Cloud Platform
• Familiarity with containerization technologies like Docker
• Knowledge of message queues and streaming platforms, such as Apache Kafka
• Understanding of caching mechanisms and performance optimization techniques
• Experience with performance testing and profiling tools
• Familiarity with machine learning concepts and frameworks

You’ll Grow at Linqia

Influencer marketing is chaotic. Linqia brings the calm in the chaos. We’re a leader in the influencer marketing industry. We're a mature and growing tech start-up, having experienced 100% year-over-year growth and break-even. We partner with the world's largest brands including General Motors, Bayer, Kimberly-Clark, Unilever, Albertsons, McDonalds, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing and leveraging creator content. We combine the science and accountability of online media with award-winning creativity to deliver the greatest return on investment and results for our clients’ paid, owned, and earned media.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.

Job Description: Machine Learning Engineer

We are looking for an experienced and driven Machine Learning Engineer to join our Advanced Analytics team. You will play a pivotal role in advancing our machine learning capabilities, focusing on the building, training, deploying, scoring, and monitoring of models for various use cases, including personalized recommenders, forecasting, and LLM modeling.

Responsibilities

• Model Development & Deployment: Develop and deploy Machine Learning, Deep Learning, and GenAI models to enhance operational efficiency and customer experience.
• Continuous Improvement: Improve models by monitoring performance, conducting A/B testing, and implementing feedback loops.
• Architecture & Scalability: Architect and rebuild complex ML frameworks from the ground up, incorporating multi-threaded processing and distributed workloads to support scalable pipelines.
• Cross-functional Collaboration: Work with engineers and product managers to integrate AI solutions into production systems within a fast-paced Agile environment.
• Operational Excellence: Own production ML systems, participating in on-call rotations, troubleshooting incidents, and maintaining overall model reliability.
• Innovation: Stay updated with the latest advancements in AI to ensure our solutions remain cutting-edge.

Requirements

• Education: Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
• Experience: 3+ years of experience designing, building, and operating production-scale machine learning systems.
• Technical Mastery: Expert-level programming in Python with extensive experience using PySpark and distributed data platforms (e.g., Databricks) for large-scale datasets.
• Deep Learning & Frameworks: Strong experience with Scikit-Learn, MLlib, and PyTorch, including regression, time series, clustering, and deep learning.
• Distributed Systems: Deep understanding of Spark execution models, partitioning strategies, shuffle optimization, and vectorized processing (Pandas UDFs).
• Data & Cloud: Strong SQL expertise and experience deploying ML workloads to AWS (EC2, S3, DynamoDB, Lambda).
• Ops: Experience implementing MLOps / LLMOps practices.

Key Competencies

• Ownership: Ability to manage strategic initiatives in a rapidly evolving QSR environment.
• Adaptability: Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude.
• Outcome-Oriented: Focus on analyzing and visualizing data to drive continuous improvement across the business.
• Professionalism: Maintain transparency and professionalism in communication within the team and with stakeholders.

📍 Location

• Flexible / Remote options available.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:

We are looking for a Senior Analytics Engineer to join our team and help shape the future of our data strategy. In this role, you will transform raw data into high-quality, self-serve data artifacts, applying a quantitative framework to solve complex business problems. You are someone who bridges the gap between raw engineering and business insights, ensuring our data ecosystem is scalable, trustworthy, and actionable.

Our ideal candidate is excited about data modeling, applied statistics, and building the foundation for a truly data-driven organization. At DEPT® Data & Engineering, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

WHAT YOU'LL BRING:

• Design and build flexible, trustworthy data models using dbt and SQL. You will transform data from multiple sources into reusable, business-friendly datasets.
• Work directly with Product, Marketing, Sales, and Finance to define requirements, realign expectations when scope changes, and deliver technical solutions to business needs.
• Lead discovery on data tools and infrastructure. Participate in the technical design of schemas and pipelines, ensuring best practices for project architecture and QA.
• Build and maintain semantic layers and documentation to enable self-service analytics, helping data consumers find the right datasets to answer questions quickly.
• Proactively identify design flaws in data models and implement fixes. Manage the end-to-end ecosystem, including ETL/ELT, data governance, and performance optimization.
• Research solutions independently and the intuition to know when to ask for help versus when to innovate.
• Translate complex business questions into technical specs and present findings to non-technical stakeholders.
• Participate in system design and offering sound guidance on data risks and dependencies.

WHAT WE ARE LOOKING FOR:

• 4+ years of applied analytics/data engineering experience, preferably within a fast-paced tech company or consulting environment. 
• Expert-level SQL: Ability to write, troubleshoot, and optimize complex scripts for performance and cost.
  • • dbt (Data Build Tool): Proven experience using dbt to manage the transformation layer of the modern data stack.
    • Data Modeling: Strong expertise in industry concepts (Star Schema, Snowflake Schema) and building semantic layers.
• Cloud Warehousing: Familiarity with cloud platforms (GCP, AWS, Azure) and warehouses (Snowflake, BigQuery, or Redshift).
• BI & Visualization: Proficiency in defining data models and measures in tools like Looker or Tableau.

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Staff Analytics Engineer to join our Data Platform team! 

In this position, you will help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets. This role sits at the intersection of data engineering, analytics, and product, and is critical to enabling high-quality decision-making across the organization. You’ll partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. 

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Design, build, and maintain scalable data models that power analytics, reporting, and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent, trusted business definitions
• Build curated, analytics-ready datasets from multiple sources (event data, transactional systems, third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing, validation, and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive, well-documented data models
• Support and scale experimentation frameworks, including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development
• Help shape how the team uses AI-assisted analytics — enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models, metrics, and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions, versioning, and access controls
• Drive adoption of best practices in analytics engineering across the organization

You 

• 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
• Strong expertise in SQL (advanced querying, optimization, window functions, etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift
• Strong understanding of data modeling best practices (star schema, dimensional modeling, etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling, documentation, and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker, Tableau, Sigma, or similar
•  

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g., LookML, MetricFlow, Cube, Transform)
• Experience with event tracking tools (GA, Heap, Segment, CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow, Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g., Hightouch, Census)

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:

We are looking for a well-rounded, flexible Data Engineer with an interest in translating business goals into concrete solutions. You’ve been part of more than one team, you’ve demonstrated initiative on most of your projects, and you can tell us in technical detail what you did to help. Ideally, you’ve worked with at least one DevOps team, and in at least one flavor of agile.  If you haven’t, we won’t hold that against you. At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

WHAT YOU’LL DO:

• Ability to realign client expectations when challenges arise (delays, change in scope, etc.)
• Proactively, and independently able to research knowledge needed to perform tasks (i.e., knows when to ask for help, and doesn't spend significant time on already-solved issues)
• You have the ability to identify potential technical solutions that apply to an internal/client situation (i.e., the ability to connect technical solutions to business needs).
• You enjoy working with peers / new hires to help them understand and apply best practices
• You can prioritize multiple tasks and communicate the overall status of a project.
• You enjoy participating in the technical design of systems, schemas, or pipelines and offer sound guidance

WHAT YOU’LL BRING:

• 4+ years of experience in core programming fundamentals, modern tools (IDEs, CLI, Git/version control), and basic debugging:
• Scripting languages like Python, Ruby
• Compiled languages like Java, Scala, and C++
• Source Control Systems
• 4+ years of experience in Data Management Tools: 
• Pipeline management tools like Airflow or Luigi, and/or enterprise ETL tools like Informatica, SSIS or DataStage
• DevOps tools like Terraform, Kubernetes, Docker
• Database Management Systems like BigQuery, Snowflake, PostgreSQL, MySQL, Oracle, MS SQL Server, Redshift
• 4+ years of discovery and assessment of a client’s portfolio, tools, and applications
• 4+ years of professional software and consulting experience
• Experience managing the ingestion of data into a DWH
• Via APIs, ETL tools, batch feeds, etc.
• Experience working in cloud environments (AWS or GCP) is a plus.
• Experience with Unix-based OSes a plus!

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.