Company Background

Our client is a company that delivers integrated software and tools for the agricultural business. As part of a leading global software group, the company supports the diversified grain industry and agricultural co-ops with best-in-class solutions covering business management, commodity management, agronomy, trading, patronage, and analytics.

Project Description

Own the end‑to‑end data flow for Data Analytics Platform (DAP). You will ingest XML data from AGRIS Web Services into Azure Blob Storage, orchestrate event‑driven transformation pipelines via Azure Functions and Databricks Jobs, model data using dbt on Databricks (medallion architecture: bronze → silver → gold), and deliver analytics‑ready datasets to Azure SQL Database and Luzmo. You'll also maintain multi‑tenant data isolation, automate deployments, and keep the platform performant and cost‑efficient.

Technologies

• Microsoft Azure
• Azure Blob Storage / ADLS Gen2
• Databricks (Delta Lake, PySpark, SQL Warehouses)
• dbt (dbt-databricks + dbt-sqlserver)
• Azure Functions (Python)
• Azure Event Grid
• Azure SQL Database
• Azure Key Vault
• Luzmo

What You'll Do

• Maintain and support Azure Functions pipelines (Event Grid → Databricks Jobs);
• Build and optimize Databricks notebooks for XML parsing and Parquet landing in DBFS/ADLS;
• Manage Auto Loader and incremental data ingestion processes;
• Design and maintain dbt models across medallion layers (bronze COPY INTO, silver current‑changes, gold incremental merge, staging/CDC to Azure SQL);
• Write custom macros and ensure data quality with dbt tests;
• Optimize schemas, indexes, and CDC merge pipelines in Azure SQL Database;
• Manage analytical views, RBAC roles, and Luzmo integration for BI consumers;
• Maintain tenant‑scoped DBFS mounts and data isolation;
• Configure backup, storage tiering, and define RPO/RTO targets, monitor pipeline health;
• Automate deployments using CI/CD tools (e.g., GitHub Actions);
• Implement monitoring, alerting, and optimize infrastructure and compute costs in Azure and Databricks;

Job Requirements

• 5+ years designing and building data solutions on Microsoft Azure;
• 2+ years with Databricks (Delta Lake, PySpark, SQL Warehouses);
• Strong experience with dbt (data build tool): incremental models, custom macros, multi‑adapter setups (Databricks + SQL Server);
• Expert‑level SQL skills: Databricks SQL for Delta Lake transformations and T‑SQL for Azure SQL Database performance tuning;
• Hands‑on experience with Azure Functions (Python) and event‑driven architectures (Azure Event Grid, Blob Storage triggers);
• Familiarity with medallion architecture patterns (bronze/silver/gold) and CDC (Change Data Feed) pipelines;
• Working knowledge of XML data parsing/ingestion at scale (PySpark XML processing);
• Strong understanding of Azure security fundamentals (Key Vault, RBAC, managed identities);
• Experience with multi‑tenant data platform design and tenant‑scoped data isolation;
• English level: B1+ (Intermediate) or higher;

Nice to Have

• Microsoft Certified: Azure Data Engineer Associate (DP‑203) or Databricks Data Engineer Associate;
• Experience with IaC (Bicep or Terraform) and CI/CD (GitHub Actions);
• Familiarity with BI platforms, particularly Luzmo, for provisioning datasets and self‑service reporting;
• Knowledge of Python for Databricks notebooks, Azure Functions, and utility scripts;
• Experience with cost‑governance / FinOps in Azure and Databricks;
• Exposure to SQLFluff or similar SQL linting/quality tools;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

POSITION SUMMARY

Own Workday integrations end-to-end, driving reliable data flow and scalable system design. Elevate architecture standards while bridging technical and business stakeholders. Enable high-quality user experiences through automated testing, reporting, and AI-driven insights. The Workday Integrations & Data Specialist is responsible for designing, building, and maintaining integrations between Workday and internal or third-party systems. This role ensures accurate, secure, and timely data flow across HR, payroll, finance, IT, and benefits platforms while supporting reporting, automation, AI-enabled insights, and scalable system design.

This role partners closely with HRIS, IT, Finance, Payroll, Core HCM architects, and external vendors to ensure Workday functions as a reliable system of record within a cohesive technology ecosystem. This is a remote position that offers the opportunity to make a meaningful impact in a dynamic, fast-paced fintech environment. EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View. Our salary ranges are determined by role, level, and location. 

WHAT YOU'LL DO 

Workday Integrations & Data Management

• Design, build, test, and maintain Workday integrations using tools such as EIB, Core Connectors, Workday Studio, and APIs

• Manage integrations across payroll, benefits, identity management, finance systems, data warehouses, and other HR platforms

• Ensure data integrity through transformation logic, mapping, and bulk data operations

Monitoring, Reporting & Data Delivery

• Monitor integrations, troubleshoot failures, and resolve data discrepancies

• Develop and maintain reporting, data feeds, and pipelines to support HR, Finance, and business intelligence platforms

• Proactively identify issues using logs, reporting, and automated alerts

Architecture, Automation & AI

• Act as a bar raiser for integration and data architecture, promoting best practices in scalability, performance, cost efficiency, and user experience

• Drive architectural decisions that balance cost, performance, and end-user experience

• Identify and implement automation and AI-enabled solutions to improve data quality, anomaly detection, and operational efficiency

• Partner with engineering and data teams to support AI-ready data pipelines

Testing, Validation & User Experience

• Support cross-functional testing and validation efforts through automated reporting, data checks, and failure detection

• Partner with functional teams (e.g., Talent, Payroll, Benefits) to enable effective test plans and issue identification

• Contribute to a high-quality user experience by ensuring data accuracy and system reliability across workflows

Collaboration & Communication

• Partner with Core HCM architects and business process administrators across SKUs, including Talent and Advanced Compensation, to ensure cohesive, end-to-end system design

• Translate complex technical concepts into clear insights for non-technical audiences

• Collaborate across HR, IT, Finance, and vendors to align solutions with business needs

Security & Compliance

• Ensure integrations meet security, privacy, and compliance standards

• Manage secure data transfers and authentication methods across systems

WHAT WE'RE LOOKING FOR 

• 1+ years of experience with Workday integrations and tools such as Workday Studio, EIB, Core Connectors, Workday Web Services / APIs

• Experience integrating Workday with systems such as: ADP / global payroll vendors, Okta/identity management, Greenhouse/ATS, Benefits Providers (IE, Navia, Bswift, etc.), and Finance Systems (IE, Pigment, Netsuite, Zip, Navan, etc.) 

• Knowledge of data formats such as XML, JSON, CSV

• Experience with integration technologies such as REST / SOAP APIs, SFTP

• Knowledge of SQL 

• Data analysis skills

• Familiarity with AI/ML concepts or tools applied to data workflows (e.g., anomaly detection, automation, or data enrichment)

• Experience with data validation and troubleshooting

• Strong ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders

• Strong problem-solving ability, experience with uncovering root causes, and executing action plans rapidly and thoughtfully. 

• Experience with HR data governance is a plus

• Experience working with or supporting AI-enabled data platforms, pipelines, or analytics tools is a plus

• Exposure to tools like Python, dbt, or modern data platforms is a plus

• 2+ years of experience working with a Workday implementation partner (e.g,. Topbloc, Deloitte, Accenture) is a plus 

#LI-Remote

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

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

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

🚀 Meet us in CDMX!

Want to meet the team before you apply? Join us on May 28th for our "Beyond the App: Building the Future of Tech with AI & Data" Meet-up in collaboration with RubyCDMX.

Talk AI, Data, and Engineering with our leads over drinks! 🍺 👉 RSVP here: https://luma.com/32jeyopv

The Role

As a Sr. Data Analyst, Strategic Health Analytics, you will play a key role in supporting Clinical and Commercial business development through rigorous, evidence-based analysis. This role blends technical problem-solving with strategic thinking: shaping sound analytical approaches to ambiguous questions, executing analyses with rigor, and synthesizing findings into clear, decision-ready narratives for internal stakeholders and external-facing conversations.

This is a strong individual contributor role for someone who enjoys tackling complex business questions, identifying meaningful patterns in data, and translating analysis into actionable insight. You will also help make recurring analytical needs more scalable through reports, dashboards, models, and other self-serve solutions.

While prior healthcare domain experience is a plus, it is not required. We are looking for someone with strong analytical judgment, statistical fluency, and the ability to quickly build domain knowledge on the job.

What You’ll Do

• Partner with Clinical, Commercial, and Product stakeholders to identify core questions, translate them into clear analytical approaches and actionable answers
• Communicate credible, data-driven insights and recommendations clearly to technical and non-technical audiences
• Support customer, partner, and business development conversations with data-driven insights, thought partnership and accessible storytelling
• Analyze complex datasets using SQL, Tableau, and other analytical tools to uncover trends, evaluate opportunities, and inform strategic decisions
• Apply statistical and analytical methods to generate actionable insights across clinical, commercial, product, and market-related questions
• Identify recurring analytical needs and help turn them into scalable reports, dashboards, models, and self-serve tools where possible
• Build and maintain reliable analytical assets that integrate multiple data sources and improve accessibility, consistency, and trust in the data
• Mentor peers and contribute to a culture of rigor, curiosity, and strong analytical communication within the team

What We’re Looking For

• 7+ years of experience in analytics, data analysis, research, or related quantitative roles
• Strong SQL skills and experience working with large, complex datasets
• Experience with Tableau or similar BI and visualization tools
• Proficiency in Python or a similar analytical programming language
• Strong analytical and statistical foundation, including experience with methods such as regression, hypothesis testing, experimentation, or related approaches
• Proven ability to take ambiguous questions, structure a sound analytical approach, and deliver clear, convincing insights
• Excellent verbal and written communication skills, with the ability to translate complex analysis into accessible narratives for a range of stakeholders
• Proven ability to manage multiple projects and work effectively across functions
• Interest in learning the healthcare domain and applying analytics to strategic healthcare questions

Nice to have

• Familiarity with the US healthcare ecosystem, including payer, reimbursement, utilization, or clinical performance concepts
• Experience supporting customer-facing, commercial, or partnership-oriented analytics
• Experience with dbt Cloud or similar tools
• Knowledge of ETL pipelines and data warehouse best practices

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

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 Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

🚀 Meet us in CDMX!

Want to meet the team before you apply? Join us on May 28th for our "Beyond the App: Building the Future of Tech with AI & Data" Meet-up in collaboration with RubyCDMX.

Talk AI, Data, and Engineering with our leads over drinks! 🍺 👉 RSVP here: https://luma.com/32jeyopv

The Role

As a Data Analyst II, you’ll play a key role in shaping our data-driven culture. Your day-to-day will blend technical problem-solving with strategic thinking—developing metrics frameworks, optimizing reporting pipelines, and uncovering insights that guide Product, Design, Engineering and other key business areas. Using SQL, Tableau, and advanced analytics techniques, you’ll transform raw data into actionable insights, empowering stakeholders with the clarity they need. You’ll collaborate cross-functionally to define success, measure impact, and drive continuous improvement.

You’ll have the opportunity to mentor others and foster a culture of innovation by using data to drive product enhancements and business improvements. Whether designing experiments, optimizing user experiences, or translating insights into action, your work will directly contribute to better business outcomes and customer experiences.

Responsibilities

• Lead complex data analysis projects across multiple business units, managing end-to-end workflow from requirements gathering to final recommendations
• Design and execute advanced SQL queries to extract, transform, and analyze large datasets from various sources while ensuring data quality and integrity
• Develop and maintain statistical models and dashboards to track KPIs, identify trends, and generate actionable insights for business stakeholders
• Collaborate with Product, Engineering, and Design teams to deliver data-driven solutions that align with business goals.
• Effectively communicate insights and analysis results to stakeholders across SimplePractice, highlighting opportunities to better serve both the business and its customers.
• Mentor junior analysts and collaborate with data engineering teams to improve data infrastructure and accessibility
• Drive strategic decision-making by conducting in-depth analyses of business metrics, market trends, and customer behavior patterns to identify opportunities for growth and optimization

Desired Skills & Experience 

• 7+ years of experience in data analysis and analytics
• Proficient in SQL and data querying with programming languages such as SQL and Python.
• Experience building dashboards and visualizations in Tableau or similar BI tools.
• Ability to interpret complex data using advanced analytics, such as predictive modeling, to forecast trends and optimize business outcomes.
• Excellent verbal and written communication skills, with the ability to convey technical information to multiple stakeholders.
• Strong project management and organizational skills
• Enthusiastic about data and analytics, learning new techniques and skills, and working with data scientists and engineers.

Bonus Points 

• Experience with dbt Cloud or similar tools
• Knowledge of ETL pipelines and data warehouse best practices
• Knowledge of techniques such as regression analysis, hypothesis testing, and multivariate analysis.

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech.  Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

The Role

We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product

Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from no-show trends to client engagement—you’ll give practitioners the tools to make smarter, faster decisions about how they manage care.

Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.

Responsibilities

• Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
• Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons 
• Work with analytics to create company wide alignment through standardized metrics across the company
• Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
• Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product 
• Manage the complete data stack from ingestion through data consumption
• Build tools to increase transparency in reporting company wide business outcomes
• Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
• Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice

Desired Skills & Experience

• Education & Experience
  • BS/MS in Engineering, Computer Science, Mathematics, or related field
  • 7+ years in Data or Analytics Engineering
  • Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
• Data Engineering & Pipelines
  • Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
  • Expert in SQL and data modeling (relational, dimensional, semantic)
  • Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
  • Hands-on with DBT for modular, testable transformations
  • Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
  • Familiar with ELT, schema-on-read, DAGs, and performance optimization
• Cloud & Infrastructure
  • Experience with AWS (S3, RDS, Redshift, etc.)
  • Familiar with Terraform, Docker, and containerized workflows (bonus)
  • Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
• Analytics & Enablement
  • Experience building and supporting semantic layers for self-serve analytics
  • Proficient with BI tools like Looker, Tableau, or Sisense
  • Comfortable standardizing metrics and enabling trusted, consistent access to data
• Programming & Scripting
  • Proficient in Python and Unix/Linux scripting
  • Comfortable working with APIs (e.g., using curl)

Bonus Points

• AWS DevOps - Terraform, Kubernetes, Docker
• Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries
• Real-time ETL - Kafka streaming, AWS Kinesis

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Sobre Nosotros

SimplePractice tiene su sede en Los Ángeles, California, pero contamos con miembros del equipo que viven y trabajan en Estados Unidos, República Dominicana, Ciudad de México y Ucrania.

En SimplePractice, trabajamos para mejorar el acceso a una atención de calidad, brindando  a los profesionales de la salud y el bienestar todas las herramientas que necesitan para prosperar en la práctica privada.

Más de 250,000 proveedores confían en SimplePractice para desarrollar su negocio con nuestro software líder en la industria, que ofrece potentes herramientas que simplifican cada aspecto de la gestión de la práctica. Desde las tareas administrativas hasta la atención clínica, nuestro conjunto de soluciones innovadoras trabaja de manera integrada para reducir la carga administrativa, permitiendo a los profesionales, tanto individuales como en pequeños grupos, prosperar junto con sus clientes.

Ganador de premios y centrado en las personas, SimplePractice está dando forma al futuro de la tecnología de la salud. Reconocido por MedTech Breakthrough y los Premios de Salud Digital, y como uno de los Mejores Lugares para Programar en México y uno de los Mejores Lugares para Trabajar según BuiltIn.

Nuestra Cultura

En SimplePractice, la cultura es nuestra base. Influye en la manera en que trabajamos, cómo servimos a nuestros clientes y cómo abordamos el cumplimiento de nuestra misión. Contamos con cinco valores fundamentales que buscamos encarnar cada día:

• Pensamos en grande

• Tomamos la simplicidad en serio

• Venimos tal como somos

• Actuamos con humildad

• Estamos construidos sobre la confianza

La cultura es responsabilidad de todos en SimplePractice. Es lo que nos impulsa a hacerlo mejor para nuestros compañeros y clientes.

La conexión y la colaboración también son clave para nuestro éxito. Trabajarás con equipos multinacionales talentosos y tendrás oportunidades de participar en encuentros presenciales tanto en EE. UU. como en México.

🚀 ¡Encuéntranos en la Ciudad de México!

¿Quieres conocer al equipo antes de postularte? Acompáñanos el 28 de mayo en nuestro encuentro "Más allá de la app: Construyendo el futuro de la tecnología con IA y datos", en colaboración con RubyCDMX.

¡Habla de IA, datos e ingeniería con nuestros líderes mientras disfrutas de una bebida! 🍺 👉 Confirma tu asistencia aquí: https://luma.com/32jeyopv

El Rol

Estamos buscando un Senior Data Engineer para ayudar a liderar la evolución de nuestro stack de datos, desde los pipelines hasta la plataforma. En este rol, construirás la infraestructura que impulsa todo, desde inteligencia de producto hasta reportes financieros y analítica self-serve dentro del producto.

Nuestros clientes son profesionales clínicos en prácticas privadas pequeñas y medianas, y los datos que estructures les ayudarán directamente a operar negocios más eficientes y efectivos. Al habilitar insights accesibles, como tendencias de inasistencias o niveles de interacción de pacientes, brindarás a los profesionales herramientas para tomar decisiones más inteligentes y rápidas sobre la gestión de la atención.

Internamente, tu trabajo impulsará desde reportes ejecutivos y proyecciones de ingresos hasta analítica de producto y ciclos de evaluación de modelos de IA. Colaborarás con equipos de Data Analytics, Machine Learning, Producto e Ingeniería para construir sistemas escalables y confiables que conviertan los datos en un producto de primera clase dentro de SimplePractice.

Responsabilidades

• Colaborar con Producto, Analytics e Ingeniería para construir sistemas escalables que desbloqueen el valor de los datos provenientes de múltiples fuentes como bases de datos backend, flujos de eventos y plataformas de marketing.
• Liderar la visión técnica y la arquitectura con una perspectiva integral tanto a corto como a largo plazo.
• Trabajar con el equipo de Analytics para crear alineación a nivel compañía mediante métricas estandarizadas.
• Apoyar casos de uso internos como reportes financieros, analítica de producto y métricas operativas.
• Habilitar casos de uso externos como dashboards para clientes, analítica self-serve y recomendaciones dentro del producto.
• Gestionar el stack completo de datos desde la ingestión hasta el consumo.
• Construir herramientas que aumenten la transparencia en el reporte de resultados de negocio.
• Colaborar con DevOps para desplegar y mantener soluciones de datos en la nube, preferentemente en AWS.
• Definir marcos de calidad y seguridad de datos para medir y monitorear la calidad en toda la organización, promoviendo mejores prácticas de ingeniería de datos.

Habilidades y Experiencia Deseadas

Educación y Experiencia

• Licenciatura o Maestría en Ingeniería, Ciencias de la Computación, Matemáticas o campo relacionado.
• Más de 7 años en Data Engineering o Analytics Engineering.
• Fuertes habilidades de resolución de problemas y comunicación; cómodo trabajando en entornos dinámicos y multifuncionales.

Ingeniería de Datos y Pipelines

• Experiencia en arquitectura empresarial y modelado dimensional.
• Experto en SQL y modelado de datos (relacional, dimensional, semántico).
• Experiencia comprobada en diseño, implementación y mantenimiento de data warehouses (Snowflake).
• Experiencia práctica con DBT para transformaciones modulares y testeables.
• Experiencia con herramientas de orquestación e ingestión: Airflow, Prefect, Airbyte, Fivetran, Kafka.
• Familiaridad con ELT, schema-on-read, DAGs y optimización de rendimiento.

Nube e Infraestructura

• Experiencia con AWS (S3, RDS, Redshift, etc.).
• Familiaridad con Terraform, Docker y flujos de trabajo contenerizados (deseable).
• Manejo de datos estructurados, semi-estructurados (JSON) y formatos columnares (Parquet, ORC).

Analítica y Habilitación

• Experiencia construyendo y soportando capas semánticas para analítica self-serve.
• Dominio de herramientas BI como Looker, Tableau o Sisense.
• Experiencia estandarizando métricas y habilitando acceso confiable y consistente a los datos.

Programación y Scripting

• Dominio de Python y scripting en Unix/Linux.
• Experiencia trabajando con APIs (por ejemplo, usando curl).

Puntos Extra

• AWS DevOps (Terraform, Kubernetes, Docker).
• Experiencia en gestión de proyectos y cambio, especialmente en entornos ágiles (SCRUM, Kanban).
• Experiencia en ETL en tiempo real (Kafka streaming, AWS Kinesis).

Beneficios

Ofrecemos un programa competitivo de beneficios que incluye:

• Seguro médico, dental y de visión privado
• Apoyo para trabajo desde casa
• Tiempo libre flexible (FTO), días de bienestar, días festivos pagados y Summer Fridays
• Reembolso mensual de alimentos
• Bono navideño y 15 días de aguinaldo
• Esquema híbrido de trabajo y comidas patrocinadas
• Bono de reubicación para candidatos que se muden desde otra ciudad
• Grupos de Recursos para Empleados (ERGs)

Important Information:

• Years of Experience: 7+ years

• Job Mode: Full-time

• Work Mode: Remote within Mexico

Job Summary:

We are seeking a highly experienced Software Development Engineer in Test (19742) with a strong background in data quality, analytics testing, and data engineering validation within the insurance industry. This role focuses on ensuring high-quality data across modern data platforms by defining, implementing, and maintaining robust testing strategies across the full data lifecycle—from raw ingestion to curated analytical layers. The ideal candidate demonstrates technical leadership, continuous improvement, and strong collaboration with engineering and business stakeholders.

Responsibilities and Duties:

• Develop and maintain end-to-end dbt testing frameworks, including mocked and expected datasets across bronze, silver, and gold layers.

• Define, implement, and maintain dbt models, unit tests, end-to-end tests, and custom test cases.

• Analyze engineering and analytics requirements to determine appropriate testing scope and strategies.

• Collaborate closely with business stakeholders, Data Engineers (DEs), and Analytics Engineers (AEs) to define testing needs and ensure data quality alignment.

• Gain a deep understanding of the repositories, tools, and workflows, including VSCode, pytest, dbt, Databricks, Git, Docker, and CI/CD processes.

• Investigate failed tests, perform root cause analysis, and support defect resolution.

• Review pull requests to ensure adherence to testing standards and data quality best practices.

• Actively participate in Agile ceremonies, providing quality insights and recommendations.

• Identify opportunities for process optimization, automation, and efficiency improvements while aligning quality efforts to business value.

• Demonstrate leadership by mentoring team members and promoting best practices in Quality Engineering.

Qualifications and Skills:

• 7+ years of experience in Quality Engineering, with a strong focus on data-centric testing.

• Proven experience working within the insurance industry (required).

• Strong understanding of data warehousing concepts, ETL processes, and BI platforms.

• Solid knowledge of testing strategies, the Test Pyramid, and version control systems.

• Proficiency in SQL and scripting languages such as Python.

• Excellent communication, collaboration, and stakeholder management skills.

• Demonstrated ability to drive continuous improvement across technology, processes, and people.

• Strong leadership skills with experience guiding teams and influencing quality standards.

Role-specific Requirements:

• Hands-on experience designing and executing data validation strategies across complex data pipelines.

• Ability to translate business and analytical requirements into effective testing solutions.

• Experience supporting enterprise-scale data platforms with a strong emphasis on data accuracy, reliability, and compliance.

• Comfortable working in fast-paced, Agile environments.

Technologies:

• dbt

• Databricks

• Pytest

• SQL

• Python

• Git

• Docker

• VSCode

• BI tools (Power BI, Tableau – nice to have)

• Cloud environments (AWS, Azure, or GCP – nice to have)

Skillset Competencies:

• Data Quality & Validation

• End-to-End Data Testing

• Test Strategy & Automation

• Analytical Thinking

• Leadership & Mentorship

• Cross-functional Collaboration

• Continuous Improvement Mindset

• Business Value Awareness

About Encora:

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Location: Remote - MX

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Data Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Data & Analytics (D&A) team, helping build and maintain the data infrastructure that powers all of our internal reporting and analytics for multiple business teams. As a team, we are actively implementing the latest AI features and cutting-edge technologies to drive business insights.

On a day-to-day basis, you will be responsible for architecting and delivering end-to-end data pipelines to support internal stakeholders. Specifically, you will:

• Design, build, and maintain scalable data pipelines and services for analytics and business intelligence.
• Develop data flows and applications for machine learning, analytics, and third-party data integrations.
• Collaborate with data scientists and analysts to deploy models and analytical solutions.
• Perform heads-down development, test your code, review peer code, and ship it to production.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to build and enhance the data infrastructure that provides critical insights to business leaders, directly impacting strategic decisions across the company. You will have an opportunity to make a difference.

WHAT WE’RE LOOKING FOR:

We are seeking a results-oriented and innovative Data Engineer who is passionate about building scalable data solutions that empower internal teams. You will play a pivotal role in developing the infrastructure that powers our internal reporting and analytics initiatives, and you should be excited about working with the latest in AI and data technology. We're looking for someone with a deep understanding of data architecture, a commitment to quality, and a collaborative spirit to support business stakeholders.

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Data Engineer is the career path for you!

THE TEAM:

Our  Clari + Salesloft Data & Analytics team is comprised of seasoned and up-and-coming data professionals​​ who are all aligned on one vision and mission:

• Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes
• Mission: Bring science to the art of sales 

The Data & Analytics team consists of a group of curious, collaborative, and technically-driven individuals dedicated to empowering the business with data. The engineers and analysts on our team share a few common traits: they are passionate about turning data into actionable insights, thrive on solving complex problems, and are committed to leveraging cutting-edge technology to answer critical business questions.

THE SKILL SET:

Core Qualifications

• Strong SQL skills and experience with Snowflake core features, focusing on performance optimization and efficient data warehousing practices.
• Proven ability to build scalable, tested transformation layers using DBT.
• Experience managing data pipelines with Airflow and ingestion tools such as Fivetran or Estuary.
• Comfortable working with AI-assisted development tools such as Snowflake Cortex, Gemini Enterprise, or GitHub Copilot.
• Strong Git workflow experience in Agile environments (Jira).
• Bachelor’s degree in Computer Science or a related technical field.

Nice-to-Have

• Experience with BI/analytics tools and supporting reporting workflows.
• Experience working with Salesforce or other CRM data, particularly in SaaS environments.
• Familiarity with AWS or GCP, REST APIs (Postman), or Databricks.
• Exposure to Machine Learning, AI, or Data Science frameworks.

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Remote

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

Senior Data Analyst

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Senior Data Analysts are pivotal to our company's success. You will be a leader within our fast-growing and high-performing Data & Analytics team, responsible for driving departments to monitor their performance, understand trends, and make more informed decisions.

On a day-to-day basis, you will be responsible for owning the delivery of actionable insights that drive positive change across the business. Specifically, you will:

• Leverage complex datasets to identify and quantify key performance indicators. 
• Create dashboards and data visualizations that monitor & measure success. 
• Establish and own best practices & training materials for data-savvy users within functional departments. 
• Be a key leader in championing the impact of data, company-wide.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to [EXAMPLE: sell an impactful and revolutionary software that is changing the way sellers sell.] You will have an opportunity to make a difference. 

WHAT WE’RE LOOKING FOR:

We are seeking a highly experienced, results-oriented Senior Data Analyst who can empower the business to make better decisions with data. We are interested in people who are equal parts analytically focused and business-driven, motivated by solving real-world problems and exploring new approaches.

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Senior Data Analyst is the career path for you!

THE TEAM:

Our  Clari + Salesloft Data & Analytics team is composed of Data Analysts & Data Engineers who are all aligned on one mission: to redefine the Sales Engagement space and activate the authentic seller in all of us.

The Data & Analytics team consists of passionate data engineers and analysts with a drive to enable Salesloft to make better decisions. Our team shares a few common traits: they are accountable, unafraid to experiment, and continuously learning. 

THE SKILL SET:

• 5+ years in a Data Analyst or similar role
• Expert-level proficiency in SQL and using it to create derivative data structures
• Experience with a data visualization tool (Sigma knowledge is preferred; Tableau or Looker is also a plus)
• Proven track record of using data to drive significant transformations in business processes
• Excellent written and verbal communication skills, including the ability to distill complex ideas and present them with influence to non-data focused individuals and leadership.
• Past experience in a SaaS business model is preferred
• Experience using dbt/Python/R/Git is a plus
• Proficient in AI model implementation or highly motivated to develop expertise in the field

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Remote

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

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. 

The Role:

We are seeking a Looker Data Engineer for a project-based assignment to support a key client initiative. This role will focus on building and optimizing data models, developing scalable reporting solutions, and enabling data-driven decision-making through Looker and modern data stack technologies. The ideal candidate will have strong hands-on experience with Looker development, data modeling, and programmatic reporting, along with a solid foundation in SQL and cloud data platforms.

Key Responsibilities:

• Develop and maintain Looker data models, including LookML, models, and explores
• Build and optimize scalable, consumable data models to support business intelligence and strategic decision-making
• Utilize Looker API 4.0 to enable programmatic access to dashboards, looks, and explores
• Automate report generation and delivery using Looker API endpoints
• Write and optimize complex SQL queries to improve performance and efficiency
• Work with Snowflake, dbt, and Python to support data transformation and pipeline development
• Collaborate with stakeholders to translate data requirements into scalable BI solutions
• Ensure data accuracy, consistency, and performance across reporting layers

Required Skills:

• 3+ years Looker development experience (LookML, models, explores)
• Experience working with Looker API 4.0 for programmatic access
• Experience automating reporting using Looker API endpoints
• Ability to transform complex data into scalable, consumable data models
• Hands-on experience with Snowflake, dbt, and Python
• 2+ years SQL experience with query optimization

Nice to Have:

• Looker administration experience
• Experience working with BigQuery
• Experience with modern data pipelines and ELT workflows
• Familiarity with data governance, data quality, or BI best practices
• Experience working in a client-facing or consulting environment

Employment Type:

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Job Overview

The Business Intelligence Analyst is responsible for supporting the delivery of business intelligence and reporting initiatives within the organization. They will work closely with business teams to gather requirements, translate them into user stories, and develop robust data models to power insightful analytics. The Analyst will collaborate with the development team to ensure successful implementation and deployment, while maintaining excellent stakeholder communication throughout the process.

Key Responsibilities:

• Gather detailed requirements from business teams for new business intelligence and reporting initiatives
• Document requirements and translate them into user stories for the development team
• Design and develop data models to support the reporting and analytics needs of the business
• Work closely with data engineers and developers to ensure the successful delivery of BI solutions
• Test and validate BI deliverables to ensure they meet the defined requirements and provide the expected value
• Coordinate with business stakeholders to gather feedback, address issues, and manage ongoing support
• Demonstrate excellent attention to detail and strong problem-solving skills to identify and resolve data quality issues
• Maintain clear and concise communication with all project team members and stakeholders
• Continuously learn and stay up-to-date with the latest BI tools, technologies, and best practices

Required Qualifications:

• Bachelor's degree in a quantitative field such as Computer Science, Data Science, or Business Analytics
• 1-2 years of experience in a data-driven role, preferably within a business intelligence or reporting function
• Proficient in data modeling, ETL processes/tools, and BI reporting tools (e.g., QuickSight, Power BI, Tableau)
• Strong SQL skills and familiarity with data warehousing concepts
• Excellent written and verbal communication skills, with the ability to translate technical information for business audiences
• Attention to detail and a proven track record of delivering high-quality work
• Collaborative mindset and the ability to work effectively in a team environment

Preferred Skills:

• Experience with agile project management methodologies and tools (e.g., Jira, Scrum)
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP)
• Knowledge of data engineering tools and techniques  (e.g., dbt, Glue, Python)
• Understanding of data warehousing and experience in data warehouses (e.g., Snowflake, Athena, Databricks)
• Understanding of data visualization best practices and principles
• Passion for continuous learning and staying up-to-date with industry trends and technologies

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

The Role

The Data Practice Director is a senior leadership role within Caylent's Cloud Data Engineering (CDE) practice, reporting directly to the Data Practice Leader. This person is responsible for operationalizing the practice strategy, leading a team of data professionals, and owning delivery excellence across a portfolio of client engagements. They are the connective tissue between strategic direction and day-to-day execution, ensuring the practice delivers consistent, high-quality outcomes while scaling to meet growth targets.

Your Assignment

Practice Operations and Delivery

• Own end-to-end delivery oversight for a portfolio of data engineering and analytics engagements, ensuring on-time, on-budget, and high-quality outcomes.
• Drive operational rigor across the practice including utilization management, staffing coordination, margin tracking, and engagement health reviews.
• Develop and enforce delivery standards, reusable frameworks, and best practices that enable consistent, scalable execution across the team.
• Serve as an escalation point for active engagements, helping resolve technical blockers, scope issues, and client concerns in partnership with delivery leads.
• Partner with the Practice Leader to translate the strategic roadmap into executable quarterly priorities and team-level OKRs.

Team Leadership and Development

• Directly lead and develop a team of data engineers, architects, and analytics professionals across the practice.
• Set clear performance expectations, conduct regular reviews, and provide ongoing coaching to build a high-performing, engaged team.
• Partner with recruiting and workforce planning to identify talent gaps, support hiring decisions, and onboard new team members effectively.
• Foster a culture of ownership, continuous learning, and technical excellence across a globally distributed team.
• Identify and develop emerging leaders within the practice, creating growth pathways aligned to practice needs.

Client Engagement

• Build trusted advisor relationships with key client stakeholders, acting as a senior point of contact for delivery and strategic guidance.
• Partner with the sales and GTM teams to support business development activities including scoping, proposal development, and technical solutioning for new and existing accounts.
• Identify and pursue expansion opportunities within active client engagements, surfacing new use cases and service offerings that align with client needs.
• Represent Caylent with credibility and professionalism in client-facing conversations at the director and VP level.

Practice Growth and Enablement

• Collaborate with the Practice Leader on go-to-market positioning, service offering development, and internal capability building.
• Contribute to thought leadership content including whitepapers, webinars, and conference presentations that elevate the practice's external profile.
• Stay current on trends in the modern data ecosystem and work with the team to incorporate relevant innovations into our delivery approach.
• Support the development of practice IP including accelerators, reference architectures, and reusable solution components.

Your Qualifications

Experience

• 12+ years of experience in professional services or consulting, with a strong focus on data engineering, analytics, or data platform delivery.
• Demonstrated success managing and growing a team of 20 or more data professionals in a services or consulting environment.
• Proven track record of delivering complex data projects on AWS, including data lake, lakehouse, streaming, and analytics workloads.
• Experience managing a portfolio of concurrent client engagements, balancing delivery quality with financial performance.
• Hands-on background in data architecture or engineering, with the ability to engage credibly with technical teams and client stakeholders alike.

Leadership

• Strong people management skills with demonstrated ability to develop talent, drive performance, and build team culture across geographies.
• Ability to operate effectively at multiple levels, from strategic planning conversations with the Practice Leader to hands-on engagement support with delivery teams.
• Comfortable navigating ambiguity and complexity in a fast-paced, high-growth consulting environment.
• Experience influencing senior client stakeholders (director, VP and C-level) in delivery and advisory contexts.

Technical Acumen

• Deep familiarity with the AWS data ecosystem including services such as Redshift, Glue, EMR, Kinesis, Lake Formation, and Athena.
• Working knowledge of adjacent platforms including Databricks and Snowflake, and their integration with AWS-native architectures.
• Broad understanding of data engineering fundamentals: ingestion patterns, transformation frameworks (e.g., Spark, dbt), data modeling, governance, and quality management.
• Familiarity with MLOps and data science workflows sufficient to support and position those capabilities in client conversations.

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Master's degree or MBA is a plus.

Certifications

• AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent certifications are a plus.

Preferred Qualifications

• Execution-Oriented: Skilled at translating strategy into structured plans and holding teams accountable to outcomes.
• Client-First Mindset: Genuinely invested in client success and capable of building durable, trust-based relationships.
• Collaborative Partner: Works effectively across sales, delivery, and practice leadership functions without siloed thinking.
• Clear Communicator: Able to convey complex technical and business concepts to diverse audiences with clarity and confidence.
• Growth Driver: Passionate about building teams, capabilities, and client relationships that compound over time.

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• 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

The Ascend Story 

Founded to transform mental health care access, Ascend Healthcare delivers integrated psychiatric and behavioral health solutions with a commitment to equity, compassion, and operational excellence. We partner directly with health centers to build fully integrated, sustainable behavioral health programs—bringing deep clinical expertise, operational support, and long-term stability. 

Our work environment fosters: 

• Collaboration and teamwork 
• Patient-First Mindset 
• Work from home opportunities 
• Career Growth and Professional Development Training 

Why Ascend? 

You’ll be joining a team delivering innovative, compassionate care to communities that need it most. At Ascend, your work drives real impact—and your career grows alongside it. We believe in a “no wrong door” treatment model that finds ways to say “yes” to any patient referral rather than a multitude of exclusionary criteria found elsewhere. 

Position Summary:

We are looking for a Licensed Therapist or Counselor (LPC, LCSW, LMFT) to provide counseling and therapy treatment to our patients. Services will be provided remotely, through telemedicine, to patients of our Community Health Center partners. We are a "say yes" first clinical provider and look to treat patients where they are and guide them along their journey to recovery and stabilization.

*Clinician must have an active, unrestricted behavioral health license in New Mexico

Key Areas of Ownership:

• Provides patient care modalities of evidence-based practices to best meet the clinical needs of the patients. Examples include; CBT, DBT, Solution-Focused Therapy, Psychoeducation (Symptom Recognition), Trauma Therapy, Addiction Therapy, Acceptance and Commitment Therapy, Bereavement/Grief Counseling, etc.
• These specific treatment modalities will be implemented in both the individual and group therapy setting, with a focus of engaging patients in their treatment plan.
• Review and signature of patient clinical Psychosocial assessment, diagnosis, treatment plan, and consents as needed for the patient in a timely manner. Maintenance of the clinic record, including documentation of activities performed as part of the service delivery process.
• Documents all services and patient activities appropriately. Ensures documentation complies with best clinical practices, contracts, regulatory and other legal
• Conducts crisis intervention for the individual and family based on the individual’s safety plan.
• Participate in regular case planning with the involved Multidisciplinary Team as new information is gathered to ensure the most clinically appropriate patient disposition.
• Participate in individual and group supervision as required. Participate in ongoing education, including in-services, training, and other activities to maintain and improve competency. Demonstrate competency through post-testing, skill observation, and performance as assessed by direct supervisor
• Provides case management services to promote recovery and community reintegration as needed.
• Performs other duties as assigned

Qualifications:  

• Active, unrestricted mental health license in state of primary residence and state of medical services being provided 
• Comfortable working in a remote environment 
• Willingness to work evening hours
• Patient-first mindset 

Physical Requirements: This is a fully remote position but may require in-person attendance as company needs arise. Please be aware the below physical requirements should be considered prior to applying to the position: 

• Prolonged Sitting: Ability to sit for extended periods during working hours. 
• Manual Dexterity: Good hand-eye coordination and manual dexterity for using a computer keyboard, mouse, and other office equipment. 
• Visual Requirements: Adequate vision for reading computer screens and documents. 
• Communication: Clear verbal and written communication skills for virtual meetings and correspondence. 
• Hearing: Sufficient hearing ability for participating in phone calls or virtual meetings. 
• Work Environment: Access to a quiet, dedicated workspace free from distractions with reliable internet connectivity.  

• 401(k)
• 401(k) matching
• Dental Insurance
• 5, 8-hour or 4, 10-hour shifts
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Vision insurance