Data Engineer
Data Engineer III at Propelus builds and maintains scalable data pipelines, leveraging Python, SQL, and AWS services to transform and model healthcare compliance data. The role focuses on robust ETL processes, Spark-based analytics, and orchestrating workflows with Airflow to support a connected workforce ecosystem.
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:
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.
Implement and maintain data quality checks and validation processes to ensure data accuracy and reliability.
Collaborate with data scientists and analysts to understand their data requirements and provide solutions to meet their analytical needs.
Contribute to the development and maintenance of data models, schemas, and dictionaries to ensure data consistency and usability.
Monitor data pipeline performance and troubleshoot data-related issues in a timely manner.
Assist in the evaluation and implementation of new data technologies and tools.
Develop and maintain documentation for data pipelines, processes, and data models.
Contribute to the development of data governance policies and procedures.
Participate in code reviews and knowledge sharing sessions with other data engineers.
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
Posted June 18, 2026