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.

Job Summary: The Data Engineer IV plays a critical role in building and maintaining the data infrastructure that supports data strategy. The ideal candidate will have a strong background in data engineering, a deep understanding of data architecture and systems, and the ability to lead and mentor a team of engineers. This role will involve designing, implementing, and maintaining robust data pipelines, optimizing database performance, and ensuring the scalability and reliability of our data infrastructure.

Key Responsibilities include, but are not limited to:

Design, develop, and maintain scalable and efficient data pipelines.
Implement data integration solutions to combine data from various sources into a cohesive data warehouse.
Develop ETL (Extract, Transform, Load) processes to transform raw data into useful formats for analysis.
Ensure data quality and integrity by implementing data validation and cleaning processes.
Optimize database performance through indexing, partitioning, and query optimization.
Manage and maintain data storage solutions, including data warehouses and data lakes.
Work closely with data scientists, analysts, and other stakeholders to understand data needs and requirements.
Collaborate with software engineers to integrate data solutions into applications and systems.
Create and maintain comprehensive documentation for data systems, processes, and workflows to ensure clarity and facilitate knowledge sharing.
Mentoring and Leading: Providing guidance and mentorship to junior data engineers, leading projects, and contributing to the strategic direction of data engineering initiatives.
Stay current with emerging technologies and industry trends to continuously improve data engineering practices.
Identify opportunities to enhance data infrastructure and implement best practices for data management.
Lead initiatives to automate and streamline data engineering processes.
Ensure data security and compliance with relevant regulations and standards.
Implement data governance policies to maintain data privacy and protection.

Qualifications & Desired Skills:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
5+ years of experience in data engineering or a related role.
Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).
Experience with big data technologies such as Hadoop, Spark, or Kafka.
Experience using data orchestration tools such as Airflow, Dagster, Prefect.
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related services (e.g., Redshift, BigQuery).
Strong programming skills in languages such as Python, Java, or Scala.
Experience with data modeling, data warehousing, and building ETL pipelines.
Knowledge of data governance, data security, and compliance practices.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Experience with real-time data processing and stream analytics.
Advanced knowledge of Docker for containerizing applications and Kubernetes for orchestration. Experience managing containerized data processing workloads.
Knowledge of serverless architectures and services (e.g., AWS Lambda, Google Cloud Functions) and how to leverage them for data processing tasks.
Knowledge of CI/CD pipelines and DevOps practices.
Strong knowledge of data lineage tools to maintain transparency and traceability of data transformations.

Preferred Qualifications

Experience with machine learning and data science workflows.
Certification in relevant technologies or platforms.

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

Awarded one of BuiltIn's 2025 Best Places to Work and honored as a Silver Stevie® Award Winner in the 2025 Stevie Awards For Great Employers.
Professional development allowance to help you grow in the ways that mean the most to you.
Flexibility for balancing work with the rest of life and ample PTO, including paid time off for volunteering, your birthday, and becoming a new parent.
Check us out for yourself at our careers page or our Propelus culture Instagram accounts.

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. This job is open to candidates authorized to work in the US and located within US borders.

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