Data Engineer II
Role Overview
The Data Engineer II builds and maintains data infrastructure for healthcare claims, eligibility, provider, and TPA data.
The role turns raw source data into reliable information for analysts, business teams, clients, and members.
Key Skills for This Role
Full Job Posting
Company Overview
Personify Health provides personalized health plan administration, wellbeing, and care navigation solutions for employers, health plans, and health systems.
The company uses data-driven solutions to improve health outcomes and reduce costs.
Role Overview
The Data Engineer II builds and maintains data infrastructure for healthcare claims, eligibility, provider, and TPA data.
The role turns raw source data into reliable information for analysts, business teams, clients, and members.
Core Responsibilities
- Design and maintain ETL/ELT pipelines for healthcare and TPA data.
- Develop, schedule, and monitor workflows using Airflow, CloudWatch, ECS, and DAGs.
- Build data workflows and applications with Python, SQL, and Django.
- Support EDI transfers, claims adjudication, audits, and reporting workflows.
- Extract, cleanse, load, investigate, and document new data sets.
- Translate business requirements into data pipeline solutions with cross-functional partners.
- Implement data quality and automated validation under HIPAA and CMS requirements.
- Troubleshoot pipeline incidents and resolve data flow issues.
- Contribute to data modeling decisions and mentor junior engineers.
- Automate repetitive operational workflows and reporting.
Education and Experience
- A bachelor's degree in computer science, information systems, or a related field, or equivalent experience, is required.
- At least 3 years of data engineering or analytics engineering experience is required.
- At least 1 year of system or data analysis or process improvement experience is required.
- Healthcare, insurance, claims processing, or TPA experience is advantageous.
Technical Qualifications
- Proficiency in Python and SQL, including complex queries, is required.
- Hands-on experience with Airflow, Docker, and CI/CD pipelines is required.
- Experience with REST APIs, JSON, data modeling, JIRA, Bitbucket, and relational databases is required.
- Excel proficiency and familiarity with Tableau, Power BI, or MicroStrategy are required.
- AWS services, healthcare EDI, HL7, Snowflake, Redshift, and Terraform are preferred or advantageous.
Benefits
- Benefits include medical and dental coverage, unlimited paid time off, mental health support, retirement planning, financial protection, and professional development resources.
- The full benefits package is available starting on the first day.
Compensation
- The position offers a competitive base salary that varies by location, skills, and experience.
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