Senior Solutions Engineer Hospital Healthcare Data and Data Tools focus

Job Description

Senior Solutions Engineer—Hospital Healthcare Data & Data Tools focus

Houston, TX (Remote)

$145K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Focus on ensuring hospital and payer‑facing healthcare data is accurate, available, compliant, and correctly translated into product and engineering requirements. Heavy emphasis on EMR data (Epic, Cerner), regulatory logic, and healthcare data standards.

• Translate business and clinical requirements into clear technical specifications for engineering and data teams.
• Evaluate hospital and claims data for completeness, accuracy, and readiness for use in analytics products.
• Identify data quality issues, missing fields, mapping gaps, and inconsistencies across EMR and claims sources.
• Review SQL logic to confirm it matches product requirements, regulatory rules, and measure definitions.
• Interpret and validate CMS, AHRQ, HEDIS, and other regulatory specifications to ensure correct implementation.
• Document logic, data assumptions, and regulatory interpretations in a clear, traceable format.
• Communicate findings to both technical and non‑technical stakeholders across product, engineering, and clinical teams.

• Epic/Cerner data is correctly understood, mapped, and validated early.
• Regulatory rules and quality measures are implemented accurately with no rework.
• Engineering builds align with requirements on the first pass.
• Data issues are caught before they impact clients or downstream analytics.

• Strong background in healthcare analytics, hospital data, or payer‑provider data workflows.
• Hands‑on experience with EMR data (Epic, Cerner strongly preferred).
• Strong SQL skills and ability to validate logic.
• Familiarity with healthcare data standards (ICD, CPT, LOINC, SNOMED, NDC, HL7/FHIR).
• Experience interpreting CMS, AHRQ, HEDIS, or similar regulatory documentation.
• Experience working with data warehouses (Snowflake, Big Query, Redshift).
• Ability to work cross‑functionally with product, engineering, and clinical stakeholders.
• Curiosity about AI and willingness to use AI tools to accelerate analysis.
• A BS Degree is Preferred (MS Degree is a strong plus), Technical‑Data‑Focused Training or Certifications are preferred.