Professional, Data Engineer

Join Us in Shaping the Future of Health Care

At MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference‑every interaction, every day. We've been putting people first for over 40 years, offering high‑quality health plans across New York and Vermont and partnering with forward‑thinking organizations to deliver more personalized, equitable, and accessible care.

As a not‑for‑profit, we invest in what matters most: our customers, our communities, and our team.

• Growth opportunities to uplevel your career
• A people‑centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
• Competitive compensation and comprehensive benefits focused on well‑being
• An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District
  , one of the Best Companies to Work For in New York
  , and an Inclusive Workplace
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You’ll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.

The Data Engineer plays a critical role in ensuring the quality, reliability, and security of data systems hosted in on premise and cloud environments. Your expertise will contribute to the success of data‑driven initiatives by validating data pipelines, identifying defects, and ensuring compliance with business requirements implements, and maintains an automation framework around improving data quality and increasing delivery throughput. This role includes collaboration with both technical and business teams to evaluate requirements and provide guidance to solutions that are scalable and maintainable.

This role requires the ability to share technical expertise and solutioning to users throughout the organization, mentor other members of the data engineering team, stay current with emerging trends, and to document processes and solutions to facilitate knowledge transfer and the building of team bench strength.

Validate a variety of data movement and delivery artifacts within the Extract, Transform, and Load (ETL) and data streaming spaces, including collaboration on performance and stabilization of said processes. Create and maintain supporting documentation and guiderails around data quality in collaboration with enterprise data governance needs. Document data engineering workflows, data models, and ensure alignment with data engineering best practices.

The Data Engineer interfaces with Senior Data Engineers, analysts, business customers (internal or external) to gather and define requirements for solutions. Learns data resources and knows when, how, and which to use and which not to use. Continually improves ongoing team processes, automating where needed, and providing self‑service solutions when applicable. Documents mission critical enterprise ETL tasks. Presents complex information in an understandable manner.

Develops, modifies, or proposes datasets necessary to meet reporting and analytics needs. Performs other duties as assigned.

• Technical degree (Bachelor of Science, Computer Science, or equivalent level of experience) required; advanced degree (MS) a plus. Certification as Microsoft Product Specialist in SQL Server desired but not required.

• Minimum 3 years' experience with direct data analysis and data management, preferable in a health care environment.
• 3+ years' relevant experience in data warehousing techniques and technology, or experience in data vaults (raw and business), medallion architecture, and /or comparable analytics solutions.
• 1-3 years' experience using Azure Databricks
• Additional experience using data engineering/reporting tools like (SSRS, SSAS, SSMS,…