Medisolv, Inc. - Senior Data Engineer
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Senior Data Engineer
Medisolv, Inc.
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Senior Data Engineer
Fully Remote •
Clarksville
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Description
Who We Are
Healthcare quality is complex. Medisolv helps make it manageable — and actionable.
We partner with hospitals, health systems, ACOs, and payers to bring clarity to quality data, connecting clinical and claims information into a single, reliable view. More than 1,800 organizations and 130M+ patient records rely on Medisolv to measure, report, and improve performance across 500+ measures tied to CMS, The Joint Commission, and other programs.
With support from Bessemer Venture Partners Forge, we're continuing to grow our platform and expand our impact — investing in advanced analytics, AI, and new capabilities that help healthcare organizations stay ahead of change and improve outcomes with confidence.
Reporting to Director of AI & Data Engineering, we are looking for an experienced Senior Data Engineer to join our team.
About the Role
The Senior Data Engineer will provide hands-on technical leadership for Medisolv's healthcare data platform and customer implementations. You will design, build, and operate reliable data products that transform payer and quality data into trusted measure calculations, forecasts, and decision-ready insights.
This is a senior individual-contributor role with broad ownership across Snowflake, dbt, orchestration, cloud infrastructure, CI/CD, data quality, and production operations. You will partner closely with product, domain experts, application engineers, security, and client-facing teams while helping the engineering team establish scalable patterns and sound technical decisions.
What You'll Do
• Own the design and evolution of scalable Snowflake and dbt data models supporting healthcare quality measurement, forecasting, reporting, and customer-specific workflows.
• Lead complex ingestion and connector implementations for claims, enrollment, eligibility, pharmacy, survey, plan, and reference data delivered through SFTP, object storage, data shares, and APIs.
• Set engineering patterns for orchestration, incremental processing, dependency management, reruns, reconciliation, and production support across Airflow and related workflows.
• Drive cloud modernization work across AWS and Azure, including Terraform-based infrastructure, secure connectivity, secrets management, environment promotion, and operational readiness.
• Strengthen CI/CD and release practices using GitHub Actions and related tooling, with automated tests, security checks, observability, and controlled production deployment.
• Translate healthcare quality requirements into maintainable technical designs, partnering with domain experts on CMS Star Ratings, HEDIS, CAHPS, HOS, PQA, measure calculations, and scenario modeling.
• Investigate complex data and platform issues, lead root-cause analysis, and implement durable improvements to reliability, performance, cost, and data trust.
• Provide technical mentorship through architecture reviews, pull-request feedback, documentation, and reusable patterns without direct people-management responsibility.
• Collaborate with product, client delivery, security, and engineering leaders to scope work, surface dependencies, communicate tradeoffs, and deliver against customer commitments.
What You'll Accomplish — Your Performance Objectives
In your first 30 days, you will:
• Build working knowledge of the Lilac platform, healthcare-quality domain, Snowflake/dbt model layers, orchestration, cloud environments, release processes, and active customer commitments.
• Partner with engineering and domain leads to map critical data flows from ingestion through measure calculation, forecasting, reporting, and application consumption.
• Review current architecture, operational risks, and the AWS-to-Azure…