FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Data Engineer
Abacus Insights. Design and implement data models, ETL/ELT pipelines, and integrations for governed, analytics-ready payer data foundations, especially in Snowflake .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data models, ETL/ELT pipelines, and analytics solutions, particularly within Snowflake. Proven ability to translate complex business requirements into scalable technical designs while advising clients on data quality and integration approaches.
Highest-signal resume keywords
Data ModelingETL/ELTSnowflakeSQLHealthcare Payer Data
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringAnalytics EngineeringIntegrationData PipelinesAnalytics Solution DesignDatabricksSparkAPIsCloud Data ServicesData Governance
Soft Skills
CommunicationStructured Problem-SolvingFacilitationRequirements GatheringAnalytical Instincts
Tools & Technologies
SnowflakeDatabricksFHIRHL7EDI
Certifications & Qualifications
Snowflake CertificationDatabricks Certification
Industry Keywords
Healthcare InteroperabilityCMSMedicaidMedicareClaims Data
Tech Stack
Tools & technologiesCloudETLSnowflakeSparkSQL
About the role
Key responsibilities & impact- Design and implement data models, ETL/ELT pipelines, and integrations for governed, analytics-ready payer data foundations, especially in 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
- Work on-site with clients as engagements require
- Lead discovery sessions and workshops, gather requirements, and structure open-ended problems
- Communicate technical tradeoffs, risks, and recommendations to technical and non-technical audiences
- Advise clients on data quality, mapping, and integration approaches across commercial, government, and other lines of business
- Navigate healthcare interoperability standards and exchange patterns including FHIR, HL7, EDI, and APIs
- Partner with healthcare SMEs, AI/product engineers, and core delivery teams
- Preserve and apply Abacus data-modeling standards and best practices
- Capture reusable patterns, accelerators, and lessons learned for scalable service offerings
- Travel approximately 25% to support client engagements
Requirements
What you’ll need- 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
- Hands-on Snowflake experience required
- Proficiency 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
- Proven ability to work directly with external clients, senior stakeholders, and ambiguous requirements
- Strong facilitation, requirements-gathering, communication, and structured problem-solving skills
- T-shaped professional with deep technical expertise, broad systems understanding, and sound business judgment
- Self-starter with strong analytical instincts and pragmatic problem-solving ability
- Ability to work on-site with clients as needed
- Willingness/ability to travel approximately 25%
- Preferred but not required: consulting or professional services experience; Snowflake or Databricks certifications; data governance, master data management, or data quality frameworks; familiarity with CMS, Medicaid, or Medicare data requirements
Benefits
Comp & perks- Unlimited paid time off
- Work from anywhere
- Comprehensive health coverage with multiple plan options
- Equity for every employee
- Growth-focused environment and development opportunities
- Home office setup allowance
- Monthly cell phone allowance
- Eligibility for performance bonuses
- Equity grants