Staff PRODUCT ENGINEER (Contract)

Build it. Ship it. Own it.

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Peru

About Counterpart

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

The Role

As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.

You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself. 

YOU WILL

Own the Problem

• Take accountability for the outcome. 
• Talk directly to your users, stakeholders, and peers to discover the problem. 
• Translate business intents into functional requirements that engineers and agents can build against. Determine where human judgment is non-negotiable and where AI can augment or act autonomously. 
• Own the non-functional technical requirements. Specify the quality bar: performance, scalability, reliability, security, maintainability.

Build with AI

• Write production-quality code across the stack: Python, Django, AWS, React, and PostgreSQL. You are not afraid of any layer.
• Direct agents and review their output with domain depth. Catch what they miss across the functional and non-functional bar: correctness, edge cases, performance, security, testability, readability.
• Evaluate and improve agent output regularly. Track failure modes. Refine the prompts and patterns that lift the quality ceiling over time.
• Run projects that span other Product Engineers and agents. Coordinate work, manage dependencies, and keep things moving without micromanaging.
• Contribute to architectural decisions. Bring options and alternatives, not objections. Know when the elegant solution is the wrong call for a startup moving fast.
• Contribute to and manage the context harness as you build and deliver.

Verify and Iterate

• Surface delivery risks early. Bring solutions, not just problems. Keep your stakeholders informed without turning every risk into a meeting.
• Verify the end-to-end result yourself. Confirm the system does what the requirements say, and that the requirements were right.
• Drive adoption of what you ship. Documentation, enablement, and usage monitoring are part of the job.
• Monitor your services in production. Own the signal. Debug and fix what breaks.
• Participate in support rotations. When users run into issues with what you shipped, you investigate and fix them.
• Iterate until you move the needle. Shipping is not the finish line. Outcome is.

Raise the Bar

• Mentor engineers around you. Give direct, useful feedback. Leave things better than you found them.
• Make deliberate calls on technical debt: when to accumulate it, when to pay it down, when to refactor. Translate trade-offs into language that business leaders can act on.
• Operate to the engineering standards for quality, reliability, and operational excellence.

YOU HAVE

• 10+ years building production web applications across the full stack. The years are the floor, not the bar. What matters is whether you have actually done this: owned a problem end-to-end, written the spec, built the thing, coordinated the work, and shipped it without someone else holding the thread.
• Demonstrated experience gathering requirements directly. You have interviewed users, customers, and partner teams, and turned ambiguous intent into specs that engineers and agents can build against.
• Demonstrated experience owning both functional and non-functional requirements. You have defined what a system must do and held the line on how well it must do it.
• A track record of owning a domain or initiative without close supervision. You have navigated ambiguity, made judgment calls, and been accountable for the outcome.
• Extreme ownership and a bias for action. You do not sit and wait. You chase stakeholders, customers, and answers when you need them.
• Experience coordinating across engineers and AI agents on a shared initiative. You have managed the work without holding a formal management title.
• Strong technical judgment and the depth to catch what AI-generated code gets wrong: not syntax, but correctness, architecture, intent.
• Proficiency with Python and Django. Working knowledge of TypeScript, React, and PostgreSQL.
• Proficiency in developing with AI tools (Claude Code, Cursor, OpenAI Codex, similar) and the drive to stay ahead of how AI development practices are evolving.
• Domain curiosity. You learn the business context your work supports, not just the systems. You understand why the problem matters, not just how to solve it.
• The ability to communicate clearly across engineering, product, and business, translating technical complexity without losing meaning.
• Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of technical decisions.
• Experience working with distributed, remote teams.

HOW THIS ROLE WORKS

Product Engineering exists to collapse the distance between a problem and a working solution. You own a problem or part of a vision. You shape it with stakeholders. You build it with AI. You verify it end-to-end. You iterate until the metric moves.

You work within the Context Architecture, a shared system of documentation, design patterns, and domain knowledge that gives you the technical context to make autonomous decisions at every step.

This is not a role for engineers who need to be told how. It is a role for engineers who can take a problem, fill in the gaps with good judgment, and ship something that works.

WHO YOU WILL WORK WITH

• Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
• Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
• Tony Nguyen, Engineering Manager: Tony is an engineering and platform leader with 25+ years of leadership experience at companies like Sony PlayStation Network, Intuit TurboTax, and ServiceNow. He thrives at building products, scaling teams, and leading organizations, but more so building people. He believes the best leadership and engineering comes from bringing your full identity to work. For him that's faith, family, and sports! Outside of work, you can catch him on the couch with his 3 adult children watching anime, going to Disneyland, or having game nights.
• Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers, embracing structured chaos in all of it.
• Newton Truong, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
• John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
• Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly. We measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
• Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

WE OFFER

1. Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
2. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
3. Paid Vacation and Time Off
4. Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
5. Computer - We reimburse you for your locally procured MacBook Pro. If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work, regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.

Para importante entidad del sector financiero y bancario en Colombia, buscamos un Desarrollador Java Back Semi Senior apasionado por el manejo de datos. Este rol es clave para el diseño y optimización de procesos batch de alta complejidad. Si tienes experiencia sólida en Java, te manejas bien con grandes volúmenes de información y te gusta resolver desafíos técnicos en entornos desafiantes, esta oportunidad es para ti. Ofrecemos modalidad 100% remota (desde cualquier lugar de Colombia).

Principales Responsabilidades:

• Diseñar, implementar y optimizar procesos batch y ETL de alta complejidad utilizando Java y Apache Spark.
• Trabajar con grandes volúmenes de información, asegurando la calidad, integridad y eficiencia de los datos.
• Mantener y evolucionar sistemas legacy, adaptándose a frameworks propietarios cuando sea necesario.
• Implementar pruebas automatizadas (JUnit) para garantizar la cobertura y estabilidad del código.
• Realizar troubleshooting y análisis de logs en ambientes productivos (DEV, UAT, PROD).
• Elaborar documentación técnica y funcional, facilitando la transferencia de conocimiento al equipo.

Requisitos del Puesto:

• Experiencia: Mínimo 3-5 años en desarrollo backend (Nivel Semi Senior).
• Lenguaje: Experiencia sólida en Java (preferentemente Java 17).
• Datos: Experiencia comprobada en procesamiento batch/ETL con Apache Spark (DataFrames, optimización de performance).
• Base de Datos: Dominio de SQL avanzado para modelado y transformación de datos.
• Herramientas: Manejo de Git, JUnit y entornos de integración continua.
• Ubicación: Residir en Colombia (Modalidad Remota).
• Habilidades Blandas: Pensamiento analítico, autonomía, capacidad de aprendizaje rápido y trabajo en equipo multidisciplinario.

Se Valora (Deseable):

• Experiencia en migración de procesos legacy a Spark.
• Conocimiento en herramientas de orquestación (Control-M, Airflow).
• Experiencia previa en el sector banca/finanzas.
• Conocimientos en observabilidad y calidad de código (Sonar).

Ofrecemos:

• Salario competitivo.
• Medicina prepagada.
• NEORIS Days (3 días libres).
• Fondo de Empleados.
• Bonificación por cumplimiento anual.
• Bono vacacional.
• Herramientas corporativas.
• Plataformas de capacitación y entrenamiento.
• Trabajo modalidad remoto 100% para Colombia

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

Joseline Roca

#LI-JR1

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

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

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).

Duration: Six months

Format: Full time (40 hrs/week), paid

In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world’s Number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer-fighting laboratory. And we did it all while enjoying every other Friday off 😎

As a Data - Machine Learning Intern, you'll gain professional experience supporting Loka’s certified specialists, technical experts and PhDs while elevating your skillset, building a portfolio and launching projects you’re proud of.

The Role

• Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.
• Collaborate with the team to implement and optimize ETL processes.
• Integrate data from various sources into warehouses, data lakes and lakehouses.
• Support data management tasks, including data cleaning, validation and transformation.
• Understand business objectives and develop models that help achieve them, plus metrics to track their progress.
• Implement ML systems using classical ML, DL and Foundation Models following best practices.
• Participate in client communications by helping gather requirements and communicate deliverables.
• Explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance after deployment.
• Identify and analyze model errors.

Required Hard Skills

• Last year of a bachelor’s degree in Computer Science or related
• Proficient in English
• Basic knowledge of Python, ML, and Data libraries
• Basic knowledge of Databases
• Understanding of statistical, ML and deep learning algorithms
• Experience visualizing and manipulating big datasets
• Problem solving
• Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses
  
  

Required Soft Skills

• Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack.
• Autonomy and positivity: We’re a fully remote, globally distributed team.
• Teamwork: Enjoy a collaborative approach.
• Adaptability: Operate with a startup mindset and move at a startup pace.
• Dependable: You can be trusted to deliver high-quality work.
  
  

Benefits

• Every other Friday off
• Health Bonus
• Remote and flexible
• Paid sick days and local holidays

Please submit your CV in English. 

Duration: Six months

Format: Full time (40 hrs/week), paid

In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world’s Number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer-fighting laboratory. And we did it all while enjoying every other Friday off 😎

As a Data - Machine Learning Intern, you'll gain professional experience supporting Loka’s certified specialists, technical experts and PhDs while elevating your skillset, building a portfolio and launching projects you’re proud of.

The Role

• Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.
• Collaborate with the team to implement and optimize ETL processes.
• Integrate data from various sources into warehouses, data lakes and lakehouses.
• Support data management tasks, including data cleaning, validation and transformation.
• Understand business objectives and develop models that help achieve them, plus metrics to track their progress.
• Implement ML systems using classical ML, DL and Foundation Models following best practices.
• Participate in client communications by helping gather requirements and communicate deliverables.
• Explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance after deployment.
• Identify and analyze model errors.

Required Hard Skills

• Last year of a bachelor’s degree in Computer Science or related
• Proficient in English
• Basic knowledge of Python, ML, and Data libraries
• Basic knowledge of Databases
• Understanding of statistical, ML and deep learning algorithms
• Experience visualizing and manipulating big datasets
• Problem solving
• Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses
  
  

Required Soft Skills

• Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack.
• Autonomy and positivity: We’re a fully remote, globally distributed team.
• Teamwork: Enjoy a collaborative approach.
• Adaptability: Operate with a startup mindset and move at a startup pace.
• Dependable: You can be trusted to deliver high-quality work.
  
  

Benefits

• Every other Friday off
• Health Bonus
• Remote and flexible
• Paid sick days and local holidays

Please submit your CV in English. 

EPAM NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a Data Engineer - GCP

Requirements:

• Data Ingestion
• + 3 years SQL (ETL, Complex Database Scripting)
• Data Extraction from various sources (Files, Plans, Excel, MS SQL / Oracle / Snowflake / Hana / SAP ECC / ERPs) (Structured Data / Unstructured Data) (At least 3 different types)
• Desirable: Spark (ETLS, Distributed Systems for High Data Volumes)

Data Integration & Transformation (Data Pipelines) (Automated ETL Process)

• + 3 years Python (ETLs, Pipelines) for Machine Learning
• Experience in data preparation for Data Science teams, from the review of Sources, their Cleaning, Integration and Data Transformation.
• Tagging Data Sets (Data Annotation Toolset) GCP
• Experience in Transformations for Model Types (Supervised (Labels delivered) / Unsupervised (model finds patterns))
• Experience creating data ingestion processes to models, to generate predictions.
• 2 years Data Cleansing
• Data Wrangling
• Data Cleansing
• Data Quality

Cloud computing

• · + 2 years GCP
• · API Management, Azure Pipelines, Log Analytics, Azure Functions, Databricks, Storage – SQL Azure / CosmosDB / Table Storage / Blob Storage)
• GIT: GitHub, BitBucket.
• CI/CD, Jenkins, Azure Pipelines, Airflow.

Bigdata

• Spark, Hadoop, among others
• NoSQL (Mongo, Cosmos)

We offer:

• Professional growth
• Dynamic work environment
• Attractive benefits plan
• Benefits of law and superiors

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Brenda Catzin

#LI-BC2

We're looking for a Data Engineer who can handle both the operational side of data infrastructure keeping pipelines healthy, debugging issues, tuning performance and the architectural side of building event-driven systems for AI-powered products. You'll work across different client projects, from supporting existing data stacks to designing new pipelines for real-time behavioral analytics and machine learning workloads.

What are the main responsibilities of this role?

On some projects, you'll be the person keeping the engine running: monitoring ingestion pipelines, triaging alerts, tuning warehouse performance, and making sure scheduled jobs don't break. On others, you'll be designing and building new data infrastructure from scratch  event-driven architectures, real-time signal processing, and data models that power AI agents and ML pipelines. You'll need to be comfortable switching between these modes depending on what the project needs

You're someone who can operate independently once you understand the context. You know how to read logs, trace data issues, and fix things without panicking. You communicate clearly both with technical teammates and with clients who may not speak data fluently. You're equally comfortable stabilizing a legacy system and designing something new. You ask good questions before diving in.

Which skills and experience do we envision for this role?

• +4 years of experience in data engineering
• Advanced SQL and Python proficiency
• Strong experience with cloud data warehouses (Redshift, Snowflake, BigQuery, or similar)
• Hands-on experience with orchestration tools (Airflow, Dagster, Prefect, or similar)
• Experience with ETL/ELT pipeline development and maintenance
• Familiarity with data ingestion tools (Fivetran, Segment, Stitch, or similar)
• Experience working in AWS environments (S3, Lambda, and general cloud infrastructure)
• Experience with pipeline monitoring, alerting, and incident response
• Ability to debug production data issues under pressure

Nice to have:

• Experience with event-driven architectures (EventBridge, Kafka, or similar)
• Familiarity with real-time data processing and streaming
• Experience with PostgreSQL and Supabase
• Exposure to DynamoDB or other NoSQL databases
• Understanding of data modeling for analytics and machine learning
• Experience supporting ML/AI workloads and feature pipelines
• Exposure to BI tools such as Looker, Metabase, or similar

Join our team and enjoy:

• Access to Rootstrap University,Conferences/Certifications, and a Mentorship Program for your professional growth.
• Learning Bonus 
• Opportunities to organize cross-functional initiatives and receive 360 Feedback to improve your skills continuously.
• The flexibility to work remotely or from our offices in Montevideo, Buenos Aires, and Medellín, with a flexible time schedule and Workation program.
• Gym benefits, psychological counseling, and weekly lunch reimbursements with special foods in the offices.
• An Onboarding kit and access to cutting-edge technologies and tools to make your work easier.
• Referrals program bonuses, After offices, Prizes, and special occasions gifts to celebrate your achievements.
• People Care referent to support your well-being and personal development.

We value your well-being and happiness. We grow together!

How we work:

• We offer a flexible and diverse work environment that fosters multicultural talent
• We value autonomy and creativity, We want people to bring ideas to the table and to think as leaders.
• We put our focus on real human connections
• We have a commitment to excellence

At Rootstrap, we help companies launch, grow, and scale their digital products and services. With over 290 global team members, we’ve built solutions for industry leaders like MasterClass, Universal, and Google, as well as for innovative startups and inspired pioneers. Our team takes pride in making an impact that goes beyond the code, earning regular recognition as a Fastest Growing Company and Best B2B Service Provider.

We embrace an AI-first mindset, continuously exploring how artificial intelligence can enhance the way we build products, solve problems, and deliver value. Across all stages of the development process, we encourage our teams to actively leverage AI to boost productivity and drive innovation.

With offices in Uruguay, Argentina, and Colombia, we offer the flexibility to work remotely. Discover more about life at Rootstrap at https://www.rootstrap.com/careers.

All of our candidate searches are covered under Uruguayan Law 19691 (the purpose of this law is to promote the inclusion of people with disabilities).

As part of our Security and Compliance process, all seniority levels and roles must follow the company’s information security policies and secure development practices, and promptly report any suspected security incidents or vulnerabilities.

• Data Pipeline Development: Support the design, development, and implementation of new data pipelines using GCP services like Data Fusion, Cloud Functions, and Dataproc to ingest data from a variety of sources. 
• SQL-Based Transformations: Author, execute, and optimize complex SQL joins and transformations within GCP BigQuery to clean, reshape, and structure raw data into high-quality, usable assets. 
• Data Modeling Support: Assist the senior engineering and analytics teams with data modeling and schema design, helping to implement the structures that support our BI and analytics use cases. 
• Pipeline Maintenance and Optimization: Monitor, troubleshoot, and enhance existing data pipelines to ensure data quality, reliability, and performance. 
• Collaboration and Implementation: Work as a key member of the engineering team to translate technical requirements into functional code and support the deployment of data solutions. 

• 2-4+ years of hands-on experience in a data engineering or similar role. 
• Strong, demonstrated proficiency in SQL for data manipulation and transformation is essential. 
• Hands-on programming experience with Python for data processing tasks. 
• Experience working within a major cloud environment (GCP is highly preferred; AWS, Azure are also valuable). 
• Experience working with complex, large-scale enterprise media data is a strong plus. 
• Familiarity with ETL/ELT principles and experience with data pipeline orchestration tools (e.g., Airflow, Data Fusion). 
• Understanding of data warehousing concepts and database design. 
• A collaborative mindset with strong problem-solving skills and attention to detail. 
• Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience. 

For Mexico: This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

For Colombia: This position is in a Remote or Hybrid Work Modality and must be performed within Colombian territory. Only candidates residing in Colombia with a valid work permit may apply. Remote work contracts do not allow employment or relocation abroad.