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Data Engineer lll - LATAM

Role overview

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field
  • 3+ years of experience in data engineering or a similar role
  • Proficiency in at least one programming language such as Python or Java
  • Understanding of data warehousing concepts, modeling and methodologies

Responsibilities

  • Participate in the design, development, and maintenance of data pipelines using ETL/ELT processes
  • Implement and maintain data quality checks and validation processes
  • Collaborate with data scientists and analysts to provide solutions for analytical needs
  • Monitor data pipeline performance and troubleshoot data-related issues

About the company

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Propelus

Company details

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Job description

Propelus® simplifies workforce compliance management across healthcare. Our innovative technology and strategic partnerships empower millions of professionals, their employers, and regulators to work together, creating a connected and efficient healthcare ecosystem.

As a trusted leader for over 20 years, Propelus has focused on bringing more good into the lives of the people and organizations serving healthcare. We deliver seamless compliance solutions to millions. We leverage market-leading technology and essential data to simplify complex operations, reduce risk, and champion a safer, healthier, and happier workforce.

The Data Engineer III plays a crucial role in building and maintaining the data infrastructure that supports our data strategy. This role focuses on contributing to the development of data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights. Working independently on assigned tasks and projects, the Data Engineer III contributes to the overall effectiveness of the data department and supports the company's objective of leveraging data for continuous improvement and innovation.

Key Responsibilities include, but are not limited to:

  1. Participate in the design, development, and maintenance of data pipelines using ETL/ELT processes to ingest, transform, and load data from various sources into the data warehouse.

  2. Implement and maintain data quality checks and validation processes to ensure data accuracy and reliability.

  3. Collaborate with data scientists and analysts to understand their data requirements and provide solutions to meet their analytical needs.

  4. Contribute to the development and maintenance of data models, schemas, and dictionaries to ensure data consistency and usability.

  5. Monitor data pipeline performance and troubleshoot data-related issues in a timely manner.

  6. Assist in the evaluation and implementation of new data technologies and tools.

  7. Develop and maintain documentation for data pipelines, processes, and data models.

  8. Contribute to the development of data governance policies and procedures.

  9. Participate in code reviews and knowledge sharing sessions with other data engineers.

  10. Support the migration of existing data pipelines to more scalable and efficient solutions.

Qualifications & Desired Skills:

  • Bachelor's degree in Computer Science, Data Science, or a related field.

  • 3+ years of experience in data engineering or a similar role.

  • Proficiency in at least one programming language such as Python or Java.

  • Understanding of data warehousing concepts, modeling and methodologies.

  • Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).

  • Experience with optimizing complex queries.

  • Strong proficiency in using Git for version control and collaboration on codebase.

  • Experience with NoSQL databases (e.g., MongoDB).

  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).

  • Experience with ETL/ELT tools such as Apache Airflow or similar.

  • Ability to work collaboratively with teams across data science, business intelligence, and software engineering to deliver high-quality data solutions.

  • Solid understanding of the importance of data validation and the basics of ensuring data quality (e.g., checking for duplicates, missing values, or incorrect data formats).

  • Basic knowledge of data modeling techniques.

  • Strong analytical and problem-solving skills.

  • Excellent communication skills.

Benefits and Perks for Propelus employees include but are not limited to:

For US Employees:

  • 401K with company matching, as well as financial planning education and resources.

  • Employees can choose from HSA, FSA, and traditional insurance options for medical, dental, and vision coverage for themselves and dependents.

  • Lifestyle Spending Account (LSA): We support personal well-being by offering an annual lifestyle spending account that you can use for what matters most to you—whether it’s a gym membership, a meditation app, WFH equipment, or fresh produce delivered to your door.

For LATAM Employees:

  • Your health is our top priority! We cover 100% of your health insurance premiums. Our plans include national and international coverage, so you're protected no matter where you are.

  • Propelus Flex Club: Our flexible benefits platform gives you monthly points to redeem on what you need most. Plus, you'll get access to exclusive discounts just for being part of our team.

  • We've got you covered with a life insurance policy, paid 100% by the company. You can also add your beneficiaries at an exclusive, discounted rate.

We are an equal opportunity employer and value diversity at Propelus. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Candidates from all backgrounds are encouraged to apply.

Full-time positions are scheduled to work 40 hours per week, M-F unless required otherwise by projects. Part-time positions are scheduled to work a maximum of 30 hours per week. Equipment, benefits, and perks are not provided to part-time or temporary employees.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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