Data Engineer – Healthcare Analytics Platform
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-06-15
Listing for:
Dovel Technologies, Inc
Full Time
position Listed on 2026-06-15
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Science Manager, Data Analyst
Job Description & How to Apply Below
US - GA, Atlanta:
US - Remote (Any location) time type:
Full time posted on:
Posted Todayjob requisition :
40481
** Job Family:
** Data Engineering & Architecture Consulting
*
* Travel Required:
** Up to 25%
*
* Clearance Required:
** Ability to Obtain Public Trust
*
* What You Will Do:
** We are seeking a Data Engineer to support the design and development of an enterprise Contract Performance Analytics platform for a large healthcare system. This role will focus on data architecture, ELT/ETL pipeline development, and integration of clinical, claims, and operational data into a scalable analytics ecosystem.
The Data Engineer will play a key role in building a unified data system that enables insights across value-based care contracts (MSSP, Medicare Advantage, Commercial, and Employer Health Plans). This platform integrates EHR cloud-based data processing and an enterprise data warehouse to support analytics and reporting.
· Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load healthcare data from diverse structured and unstructured sources
· Develop pipelines to process data from CMS and payer files (CCLF, paid claims, PUG) as well as Epic (Caboodle, Clarity) data models and extracts
· Build and optimize 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
· Build lakehouse/medallion architecture, data ingestion patterns, and orchestration frameworks
· Implement and maintain CI/CD pipelines 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
*
* What You Will Need:
*
* · US 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 working with healthcare data interoperability standards (e.g., FHIR, 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 working with modern cloud data platforms or ETL/ELT tools (e.g., Databricks, Azure Data Factory, AWS Glue)
· Experience working with lakehouse or medallion-style architectures for analytics platforms
· Strong knowledge of relational database design, data warehouses, and/or data lakes (e.g., star/snowflake schemas)
· Experience working with relational and/or distributed data systems, including data modeling
· Experience working 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/security requirements
· Ability to work effectively in an Agile development environment
· Strong analytical and…
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