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Forward Deployed Data Engineer

Abacus Insights

Skills

Required

  • analytics
  • integration
  • ETL/ELT
  • healthcare interoperability standards and exchange patterns
  • APIs
  • data engineering
  • solution engineering
  • data modeling
  • databases
  • data pipelines
  • solution design
  • FHIR
  • HL7

Preferred

  • Snowflake / Databricks
  • data governance / master data management / data quality frameworks
  • analytics-ready
  • data models
  • ETL/ELT pipelines
  • integrations
  • SQL
  • Spark

Join our team as a Forward Deployed Data Engineer, where you will design and implement data models, ETL/ELT pipelines, and integrations to bring client payer data into governed, analytics-ready foundations. You will serve as a trusted technical advisor to client data, IT, and business stakeholders, and communicate technical tradeoffs, risks, and recommendations clearly to both technical and non-technical audiences. You will work closely with core payer datasets and navigate healthcare interoperability standards and exchange patterns.

Responsibilities

  • Design and implement data models, ETL/ELT pipelines, and integrations that bring client payer data into governed, analytics-ready foundations, with a particular focus on Snowflake.
  • Translate business requirements into scalable technical designs, from ingestion and standardization through analytics-ready data products.
  • Serve as a trusted technical advisor to client data, IT, and business stakeholders, including senior leaders, and work on-site with clients as engagements require.
  • Proficiency in SQL, Snowflake, Databricks, Spark, cloud data services, APIs, and integration frameworks; hands-on Snowflake experience strongly preferred, as clients build their data foundations there

Requirements

  • 7+ years of experience in data engineering, analytics engineering, solution engineering, or a related technical role
  • Strong expertise in data modeling, ETL/ELT, integration, databases, data pipelines, and analytics solution design
  • Familiarity with healthcare interoperability standards and exchange patterns, including FHIR, HL7, EDI, and APIs
  • Experience with healthcare payer, government, claims, eligibility, member, provider, encounter, and care management data
  • Strong facilitation, requirements-gathering, communication, and structured problem-solving skills
  • Proven ability to work directly with external clients, senior stakeholders, and ambiguous requirements
  • T-shaped professional with deep technical expertise, broad systems understanding, and sound business judgment
  • Self-starter with strong analytical instincts, pragmatic problem solving, and the ability to work on-site with clients as needed
  • Experience in a consulting, professional services, or other client-facing delivery environment
  • Familiarity with CMS, Medicaid, or Medicare data requirements

Preferred

  • Snowflake or Databricks certifications
  • Experience with data governance, master data management, or data quality frameworks