Data Engineer – Healthcare Analytics Platform

Guidehouse seeks a Data Engineer to design and implement an enterprise Contract Performance Analytics platform for a major healthcare system. The role prioritizes robust data architecture, ELT/ETL development, and the integration of clinical, claims, and operational data to enable advanced analytics. This onsite position is based in Washington, DC, with a salary range of USD 77,000 - 129,000 per year.

Responsibilities

• Create, implement, and maintain robust 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) as well as Epic data environments (Caboodle, Clarity)
• Design 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
• Establish lakehouse or 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

Requirements

• 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 troubleshooting skills, and 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

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

What would be nice to have

• Previous experience working with Epic and/or Athena in a healthcare setting for data engineering
• Previous experience with Exasol or similar analytics platform
• Certifications in AWS, Azure, Databricks, Snowflake, or other data engineering platforms
• Experience with data visualization or analytics tools (e.g., Tableau, Power BI)
• Exposure to microservices-based architectures or AI/ML-enabled data pipelines
• Prior consulting experience