Data Engineer, Value-Based Care

Location: Hybrid
Engagement Type: Contract
Hourly Rate: 

Position Overview

Our client is seeking an experienced Data Engineer to support its Care Delivery Value-Based Care agile product team. This team supports the care delivery side of the organization’s Value-Based Care function.

The Data Engineer will manage and optimize the end-to-end data pipelines that transform payer claims and roster files into actionable data within Epic. The work spans data ingestion, integration, transformation, and delivery across multiple platforms and teams.

This position will work within a collaborative scrum environment alongside developers, analysts, data scientists, and business stakeholders. The ideal candidate is technically strong, self-directed, and comfortable coordinating complex data workflows across payer partners, DataOps teams, and Epic teams.

Core Responsibilities

• Manage the secure intake of claims and roster files from external payers and ensure reliable movement into the organization’s cloud data environment.
• Develop and support automated data pipelines that ingest payer data into Databricks and Azure.
• Create structured, reliable, and high-quality datasets for downstream use.
• Map complex payer data to Epic specifications, applying appropriate business rules and data standards.
• Transform payer data into consumable, Epic-ready datasets that support Value-Based Care operations.
• Deliver reliable data exports and coordinate handoffs among payer partners, DataOps teams, and Epic teams.
• Ensure information is available in a timely manner to support patient care and value-based performance programs.
• Build, manage, and optimize data pipelines to improve data reliability, quality, and accessibility.
• Reduce manual data work by automating repetitive data preparation and integration activities.
• Partner with stakeholders, analysts, and data scientists to frame problems, clean and integrate data, and determine how data should be provisioned.
• Collaborate with developers to design scalable technology solutions that deliver measurable results.
• Build efficient processes for data ingestion, cleansing, transformation, integration, and validation.
• Evaluate and recommend technologies and frameworks for building cross-product data assets.
• Support a cloud-first, modern data architecture and promote related standards and best practices.
• Anticipate data governance needs and ensure data modeling and handling procedures comply with applicable laws, policies, and organizational standards.
• Participate actively in sprint planning, stand-ups, retrospectives, and other agile ceremonies.
• Contribute to a collaborative culture grounded in partnership, curiosity, compassion, integrity, excellence, and continuous learning.

Required Qualifications

• Bachelor’s degree in computer science, data science, social science, operations research, statistics, applied mathematics, econometrics, or another quantitative field, with at least four years of relevant experience in business analytics, data science, software development, data modeling, or data engineering; or
• Master’s degree in computer science, mathematics, software engineering, or a related field.
• Five or more years of programming experience, with strong command of at least two of the following: SQL, Python, Java, R, or Spark.
• Expert-level SQL proficiency.
• Experience working with relational databases such as Oracle, PostgreSQL, MySQL, or Microsoft SQL Server.
• Four or more years of experience with BI, analytics, or cloud data technologies such as Azure Data Factory, Synapse Analytics, Azure Data Explorer, Cosmos DB, Application Insights, Power BI, Databricks, or comparable platforms.
• Experience using Git for source control.
• Experience with Epic electronic medical record systems, including Clarity and/or Caboodle.
• Demonstrated experience working within collaborative, cross-functional development or operations teams.
• Active participation in agile sprint ceremonies.
• Strong communication skills and the ability to work effectively with technical teams, end users, and business leaders.
• Self-motivated, curious, creative, and comfortable working independently.
• Ability to support and complement the work of a diverse development and operations team.

Preferred Qualifications

• Knowledge of care delivery operations and Value-Based Care programs.
• Experience working with payer claims and member or patient roster data.
• Experience with Epic-native reporting tools such as SlicerDicer, Radar, and Reporting Workbench.
• Experience working in agile or scrum environments.
• Experience supporting hybrid environments that include both on-premises and public-cloud infrastructure.
• Advanced experience with Oracle, SQL Server, or other relational databases.
• Expertise in optimizing and tuning SQL or Oracle queries, stored procedures, and triggers.
• Advanced Python experience, including NumPy, pandas, Matplotlib, and Jupyter Notebooks for exploratory analysis, automation, or machine learning.
• Experience with CI/CD, continuous testing, and site reliability engineering practices.
• Advanced experience with Microsoft Azure technologies, including Azure Data Factory, Synapse Analytics, Purview, Databricks, Spark, Power BI, or Power Apps.
• Ability to collaborate effectively with product managers, program managers, engineers, and business stakeholders.
• Excellent analytical and critical-thinking skills.
• Ability to influence without formal authority and succeed in an ambiguous, evolving environment.