Data Engineer focusing on secure ETL/ELT data pipelines and compliance in healthcare. Designing scalable ingestion frameworks and ensuring alignment with federal standards.
About the role
- Senior Data Engineer developing data-pipelines and deploying AI tools for Mariner's ecosystem. Collaborating with cross-departmental teams to enhance enterprise data products and systems integrations.
Responsibilities
- Developing enterprise data platforms, data extraction, and mastering pipelines
- Systems integrations using python, API development, cloud platforms, and scripting languages
- Developing REST, GraphQL, and MCP APIs in AWS using Python.
- Cloud architecture and deployments using IaC tools
- CI/CD pipelines and deployment automation
- Developing and maintaining orchestration configurations and scheduling
- Building tools and processes for data validation, testing, alerting, and monitoring
- Developer coaching, guiding PR reviews, and code quality enforcement
- Supporting data-operations and critical run-the-business automations (rotation-based)
Requirements
- A bachelors degree in Computer Science, Engineering, or related discipline
- Eight years professional experience in software or data-engineering
- Five years experience in Python development
- Five years experience in SQL development
- Prior experience with Snowflake
- Excellent verbal and written communication skills
Benefits
- Health insurance
- 401(k) matching
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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