Data Engineer - Healthcare Analytics Platform
$77k - $129kDovel Technologies
- # Data Engineer – Healthcare Analytics PlatformApplylocations: US - GA, Atlanta: US - Remote (Any location)time type: Full timeposted on: Posted Todayjob requisition id: 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 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 **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 · 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 experienceThe 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.**What We Offer:**Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:* 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
- J-18808-Ljbffr Dovel Technologies
Vacancy posted 1 day ago
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