Senior Solutions Engineer

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. . .

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