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Abacus Insights

Forward Deployed Data Engineer

United States; US/ RemoteRemote · United States
TechOps
POSTED 9 OCTVERIFIED 6H AGO
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Role
31 days opentrue age
Posted 9 Oct
Pay
$135k–$197kno pay posted
$120k$197k
Market p25–p75
$135k–$197k
H-1B median · Data engineering
$120k
United States · n=187 · 365d to 6 Nov
CompanyAbacus Insights →
17open roles
Opened · 30d
+0
Closed · 30d
−3
9d of snapshots · 30d window
Market
1,627open · Data engineering
Opened · 7d
+1177% of open
All data engineering
3,795open
All tracked boards · live 10 Nov · n=1,627
Visa
10H-1B LCAs · FY26
Median wage
$120k
LCAs FY26 · n=10 · to 2026-06-23
SnowflakeLLMs

About Us

Abacus Insights is transforming how data and AI work for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.

As the AI and Data Platform for Payer Intelligence, we help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we're tackling big challenges in an industry that's ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it's why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.

Ready to make an impact? Join us and let's build the future together.

About the Role

Abacus Insights is expanding what we do for health plans, and we’re looking for a Forward Deployed Data Engineer to help us do it. As we launch new and expanded service offerings, we’re putting multidisciplinary teams directly alongside our clients—pairing healthcare subject matter experts, AI and product engineers, and forward-deployed data engineers, each bringing a distinct and essential skill set—to solve their hardest data challenges and deliver value faster than ever. This is a chance to be part of that build from the start.

In this role, you will be the hands-on data engineering expert on client-facing work. You will go on-site with clients, dig into their environments and source systems, and design and build the data models, pipelines, and integrations that turn fragmented payer data into a governed, analytics-ready foundation—frequently on Snowflake, where many of our clients are building. You will often step into ambiguous situations—unfamiliar systems, incomplete documentation, competing priorities—and bring the structure, technical judgment, and healthcare fluency to move forward. You will work hand in hand with our core delivery teams, preserve Abacus data-modeling practices, and capture the patterns and lessons that help us scale these new offerings and reuse what we learn across engagements.

This role sits at the intersection of senior data engineering, client consulting, and payer data expertise.

Note: This role requires travel to and from client sites, estimated at around 25%.

Your day to day

  • 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
  • Lead discovery sessions and workshops, gather requirements, and bring structure to open-ended problems
  • Communicate technical tradeoffs, risks, and recommendations clearly to both technical and non-technical audiences
  • Work with core payer datasets—claims, eligibility, member, provider, encounter, and care management data—and 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 closely with the healthcare SME, AI/product engineer, and core delivery teams on every engagement
  • Preserve and apply Abacus data-modeling standards and best practices across client work
Source · Abacus InsightsFirst seen 2 NovOriginal ↗