Propelus
Healthcare
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Propelus. Skills: Data Engineering, Data Pipelines, Data Warehousing. Design data pipelines. Develop data pipelines”
What You'll Achieve.
Leveraging data for continuous improvement; Leveraging data for innovation
Industry & Context.
Analytical and problem-solving skills
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 4+ years of experience in data engineering, Proficiency in Python or Java, Proficiency in SQL, Experience with database management systems, Experience with optimizing complex queries, Proficiency in Git, Solid understanding of data validation, Basic knowledge of data modeling techniques
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain data pipelines
Implement data quality checks
Maintain data quality checks
Provide solutions to analytical needs
Contribute to data models
Contribute to schemas
Contribute to dictionaries
Monitor data pipeline performance
Troubleshoot data-related issues
Evaluate new data technologies
Implement new data technologies
Maintain documentation for data pipelines
Maintain documentation for processes
Maintain documentation for data models
Contribute to data governance policies
Contribute to data governance procedures
Participate in code reviews
Participate in knowledge sharing
Support migration of data pipelines
How You'll Work.
Team & Collaboration
Collaborate with data scientists; Collaborate with analysts; Collaborate with teams; Cross-functional teams
Communication Scope
Excellent communication
Full 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. Job Summary: The Data Engineer 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 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 doc
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