OverviewThe Senior Solutions Engineer will help translate complex healthcare business needs into scalable, production-ready data solutions. This role is highly collaborative and customer-facing, requiring deep healthcare data expertise and the ability to rapidly build iterative proofs of concept (POCs), gather feedback, and evolve solutions into robust platforms. This position works closely with clinical, operational, and analytics stakeholders to design and deliver data pipelines, APIs, and dashboards that drive insight and action across the organization.
Essential Duties and Responsibilities
- Collaborate with other departments to understand user requirements, translate them into technical designs, validate solutions through rapid POCs and build data assets that support to analytics, business intelligence, and decision-making processes
- Develop deep understanding of user needs and refines/articulates new solution features to address those needs
- Simplify and streamline solution delivery by breaking down complex features, identifying the riskiest assumptions, and flagging potential dependencies
- Build and iterate on data pipelines, preferably using cloud technologies like Azure ADF, Databricks (batch and streaming where applicable)
- Design and develop RESTful APIs to expose curated healthcare datasets and analytics products
- Create Power BI/Tableau dashboards and semantic models that deliver actionable insights to end users
- Work hands-on with healthcare datasets, including claims, clinical, and operational data
- Ingest, transform, and normalize healthcare data standards such as HL7, FHIR, ICD-10, CPT, NDC, and related vocabularies
- Collaborate with data engineers, data scientists, and analysts to productionize solutions
- Ensure solutions meet data quality, performance, scalability, and security requirements
- Provide technical leadership and mentorship to junior engineers and analysts
- Support stakeholder demos, feedback sessions, and solution walkthroughs throughout the development lifecycle
- Employees will be required to perform other job-related assignments as requested
In this role you may work with. . .
- IT teams
- Clinical teams
- Operational teams
- Vendors
- Consultants
Qualifications
REQUIRED Knowledge, Skills and Experience
- Bachelor’s degree or equivalent experience
- 5+ years of experience working with healthcare data in a data engineering, analytics engineering, or solutions engineering role
- Prior experience with claims and clinical datasets (payer and/or provider environments)
- Prior experience with cloud platforms (Azure preferred; AWS or GCP acceptable)
- Prior experience building and maintaining APIs (REST, JSON, authentication patterns)
- Strong understanding of healthcare data standards and models (e.g., HL7, FHIR, ICD, CPT, SNOMED)
- Strong proficiency in SQL and at least one programming language such as Python or Scala
- Proven ability creating Power BI/Tableau dashboards, data models, and reports
- Demonstrated ability to work iteratively: building POCs, gathering feedback, and refining solutions
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
- Knowledge of CI/CD, infrastructure-as-code, or data platform automation preferred
Preferred Knowledge, Skills and Experience
- Advanced degree
- Prior experience in a healthcare services, payer, or provider organization
- Prior hands-on experience with Databricks (Spark, notebooks, Delta Lake, workflows)
- Prior experience with Healthcare integration engines like Rhapsody, Mirth etc.
- Prior experience with data governance, HIPAA compliance, and PHI handling
Posted Max Pay RateUSD $190,000.00/Yr.
Posted Min Pay RateUSD $160,000.00/Yr.
Pay TransparencyIndividual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, and other job-related considerations.
