Data Engineer – Healthcare Analytics Platform

About the role

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.

Responsibilities

• 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
• 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
• 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

Qualifications

• Previous experience working with Epic and/or Athena in a healthcare setting for data engineering
• Previous experience with Exasol or similar analytics platform
• AWS, Azure, Databricks, Snowflake or other data engineering–related certifications
• 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

Benefits

The annual salary range for this position is $77,000.00-$129,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.