Data Engineer

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Design and develop data models, ETL/ELT pipelines, and integrations for governed, analytics-ready payer data infrastructures, particularly utilizing Snowflake.

• Convert business needs into scalable technical frameworks, from data ingestion and standardization to the creation of analytics-ready data products.

• Act as a trusted technical consultant to client data, IT, and business stakeholders, including senior leadership.

• Collaborate on-site with clients as project demands necessitate.

• Facilitate discovery sessions and workshops, collect requirements, and organize open-ended challenges.

• Articulate technical tradeoffs, risks, and recommendations to both technical and non-technical audiences.

• Guide clients on data quality, mapping, and integration techniques across various sectors including commercial and government.

• Navigate healthcare interoperability standards and exchange patterns such as FHIR, HL7, EDI, and APIs.

• Collaborate with healthcare subject matter experts (SMEs), AI/product engineers, and core delivery teams.

• Uphold and implement Abacus data-modeling standards and best practices.

• Document reusable patterns, accelerators, and insights for scalable service offerings.

• Travel around 25% to support client engagements.

⛳️ Requirements

• Over 7 years of experience in data engineering, analytics engineering, solution engineering, or a similar technical position.

• Strong proficiency in data modeling, ETL/ELT processes, integration, databases, data pipelines, and analytics solution design.

• Required hands-on experience with Snowflake.

• Proficient in SQL, Databricks, Spark, cloud data services, APIs, and integration frameworks.

• Experience with healthcare payer, government, claims, eligibility, member, provider, encounter, and care management data.

• Familiarity with FHIR, HL7, EDI, and APIs.

• Demonstrated ability to engage directly with external clients, senior stakeholders, and address ambiguous requirements.

• Strong skills in facilitation, requirements gathering, communication, and structured problem-solving.

• T-shaped professional possessing deep technical knowledge, broad systems insight, and sound business acumen.

• Self-motivated with strong analytical abilities and practical problem-solving skills.

• Capability to work on-site with clients as required.

• Willingness and ability to travel approximately 25%.

• Preferred but not mandatory: experience in consulting or professional services; certifications in Snowflake or Databricks; knowledge of data governance, master data management, or data quality frameworks; familiarity with CMS, Medicaid, or Medicare data requirements.

🏝️ Benefits

• Unlimited paid time off.

• Flexibility to work from any location.

• Extensive health coverage with various plan options.

• Equity provided to every employee.

• An environment focused on growth and development opportunities.

• Home office setup allowance.

• Monthly allowance for cell phone expenses.

• Eligibility for performance-based bonuses.

• Equity grants.