Data Engineer – Healthcare Analytics Platform

The Data Engineer will design and build an enterprise Contract Performance Analytics platform for a large healthcare system, emphasizing data architecture, ELT/ETL pipeline development, and the integration of clinical, claims, and operational data into a scalable analytics environment.

Location

Atlanta, GA (onsite)

Compensation

USD 77,000 - 129,000 per year

Responsibilities

• Design, develop, and maintain end-to-end ETL/ELT pipelines to ingest, transform, and load healthcare data from diverse structured and unstructured sources
• Build pipelines to process data from CMS and payer files (CCLF, paid claims, PUG) and Epic data models and extracts (Caboodle, Clarity)
• Develop and refine data models to support analytics, reporting, and operational use cases, including BI and downstream analytics consumption
• Transform raw data into standardized, analytics-ready canonical data models and curated data marts
• Design lakehouse or medallion architectures, data ingestion patterns, and orchestration frameworks
• Implement and maintain CI/CD processes for data engineering workflows, including pipelines and scheduled jobs, using version control and automation tools
• Collaborate with database administrators, analysts, and application teams to integrate data sources, design schemas, and support downstream data consumers
• Ensure data quality, integrity, and accuracy through validation, monitoring, logging, and alerting
• Support data migration, integration, and modernization initiatives, including legacy system upgrades, optimization of large-scale ETL pipelines, query performance, and cloud adoption efforts
• Troubleshoot and resolve issues in development and production environments to maintain stable and reliable data pipelines
• Document data flows, pipelines, test cases, and technical solutions to support knowledge sharing and compliance requirements
• Stay current with emerging tools, technologies, and best practices in data engineering and cloud platforms

Requirements

• U.S. Citizenship or a Green Card is required
• Bachelor’s degree in Computer Science, Data Analytics, Software Engineering, Information Systems, or related fields
• A minimum of FIVE (5) years of experience in data engineering, ETL/ELT development, or data platform engineering in a healthcare setting
• Experience working with healthcare data, including claims, clinical, payer, or population health datasets
• Experience with healthcare data interoperability standards such as FHIR and HL7
• Proficiency in Python and SQL for data engineering and transformation workloads
• Hands-on experience designing and building ETL/ELT pipelines and data ingestion frameworks
• Experience with modern cloud data platforms or ETL/ELT tools (e.g., Databricks, Azure Data Factory, AWS Glue)
• Experience implementing lakehouse or medallion-style architectures for analytics platforms
• Strong knowledge of relational database design, data warehouses, and data lakes (e.g., star and snowflake schemas)
• Experience working with relational and distributed data systems, including data modeling
• Experience in a cloud environment (AWS or Azure) supporting data solutions
• Experience with CI/CD practices and version control tools (e.g., Git)
• Experience using monitoring and logging tools to support data pipeline reliability
• Experience working with PHI and healthcare data privacy and security requirements
• Ability to work effectively in an Agile development environment
• Strong analytical and troubleshooting skills, with the ability to communicate technical concepts clearly to clients, engineers, and business stakeholders
• Ability to work independently in a fast-paced, client-facing environment

Technologies

• Python
• SQL
• Databricks
• Azure Data Factory
• AWS Glue
• Git
• Tableau
• Power BI
• AWS
• Azure
• Snowflake
• Exasol
• Epic
• Caboodle
• Clarity
• Athena

Benefits

• Medical, prescription, dental, and vision coverage
• Paid sick time for individuals and families, plus company holidays
• Discretionary variable incentive bonus eligibility
• Parental leave and adoption assistance
• 401(k) retirement plan
• Basic and supplemental life insurance
• Health Savings Account, dental/vision coverage, and dependent care flexible spending accounts
• Short-term and long-term disability coverage
• Student loan payoff assistance
• Tuition reimbursement and opportunities for personal development and learning
• Skills development programs and certifications
• Employee referral program
• Corporate sponsored events and community outreach
• Emergency back-up childcare program
• Mobility stipend

Nice to Have

• Previous experience with Epic and/or Athena in a healthcare data engineering role
• Experience with Exasol or similar analytics platforms
• Certifications in AWS, Azure, Databricks, Snowflake, or other data engineering platforms
• Experience with data visualization or analytics tools such as Tableau or Power BI
• Exposure to microservices architectures or AI/ML enabled data pipelines
• Prior consulting experience