Senior Data Engineer

🕒 November 3

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Medisolv, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 Private equity on 2023-06

Healthcare • SaaS • B2B

Medisolv is a healthcare quality measurement and analytics company that provides a purpose-built software platform and services to help hospitals and health systems meet regulatory reporting requirements and improve clinical performance. Its offerings include compliance-focused reporting packages for CMS and The Joint Commission (hospital eCQMs, abstracted/hybrid/PRO-PM measures), clinician-level MIPS and MVP reporting, ACO/APP reporting, and performance analytics through its QualityIQ product. Medisolv also provides advisory and advanced quality improvement (AQI) consulting/subscription services, benchmarking tools (e. g. , Hospital Star Rating Analyzer), and a customer/community resource center to support continuous quality improvement.

📋 Description

• Design and evolve 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 • Establish engineering patterns for orchestration, incremental processing, dependency management, reruns, reconciliation, and production support across Airflow and related workflows • Drive cloud modernization 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 for CMS Star Ratings, HEDIS, CAHPS, HOS, PQA, measure calculations, and scenario modeling • Investigate complex data and platform issues, lead root-cause analysis, and improve 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 customer commitments • Build knowledge of the Lilac platform, healthcare-quality domain, data layers, orchestration, cloud environments, release processes, and customer commitments • Map critical data flows from ingestion through measure calculation, forecasting, reporting, and application consumption • Assume technical ownership of data-platform or customer-integration workstreams and lead cross-functional delivery through production validation and post-release monitoring

🎯 Requirements

• Substantial professional experience building and operating production data platforms, with senior-level ownership of architecture, delivery, and operational outcomes • Advanced SQL and data-modeling expertise, including hands-on production experience with Snowflake and dbt or closely comparable modern cloud-warehouse tooling • Experience designing robust batch data pipelines and ingestion frameworks, including schema mapping, incremental processing, testing, reconciliation, and failure recovery • Strong software engineering skills in Python or another production language, with disciplined version control, code review, automated testing, and documentation practices • Hands-on experience with infrastructure as code and CI/CD, including Terraform and GitHub Actions or comparable tools • Experience operating across AWS and/or Azure, with practical knowledge of networking, identity, secrets, object storage, monitoring, and secure environment design • Demonstrated ability to lead complex technical work across engineering, product, domain, security, and client-facing stakeholders • Commitment to secure handling of regulated healthcare data, least-privilege access, auditability, and production reliability • Bachelor's degree in computer science, engineering, information systems, data science, or a related discipline, or equivalent practical experience • Must successfully pass a pre-employment background check • Must be legally authorized to work in the United States • Sponsorship is not available • Strongly preferred: healthcare payer data experience, Apache Airflow or comparable orchestration, AWS-to-Azure migration experience, forecasting or scenario modeling, and experience with Go/Golang, OIDC/SAML/RBAC, Cognito, Sigma, or Snowflake-native analytics • Professional certifications in Snowflake, dbt, AWS, Azure, or Terraform are helpful but not required • Clear written and verbal communication, sound judgment under operational pressure, and ability to explain complex technical tradeoffs

🏖️ Benefits

• Diverse and inclusive workplace • Pre-employment background check required • U.S.-based/onshore role supporting work with regulated and PHI-sensitive healthcare data

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