Abacus Insights
Healthcare
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Abacus Insights. Skills: Data Engineering, Cloud Data Platforms, Data Pipelines, Data Architecture. Architect data pipelines. Design data pipelines”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 5–7 years of experience as Data Engineer, Expertise in Python, Expertise in SQL, Expertise in PySpark, Hands-on experience building distributed data transformations, Hands-on experience optimizing distributed data transformations, Proven experience designing ETL/ELT pipelines, Proven experience managing production-grade ETL/ELT pipelines, Experience with modern data platforms, Experience with modern data architectures, Solid understanding of AWS cloud data ecosystems, Solid understanding of infrastructure-as-code, Solid understanding of CI/CD practices
Nice to Have
Familiarity with US healthcare data, Ability to communicate technical concepts to diverse stakeholders, Familiarity with FHIR
What You'll Do.
Architect data pipelines
Design data pipelines
Implement data pipelines
Build ingestion frameworks
Develop data modeling frameworks
Lead technical solution design
Translate business requirements
Implement security automation
Establish data engineering best practices
Enforce data engineering best practices
Conduct performance profiling
Optimize compute costs
Produce technical documentation
Mentor junior engineers
How You'll Work.
Team & Collaboration
Internal engineering teams; Customers; Data vendors; Internal teams; Clients
Communication Scope
Technical documentation
Process & Methodology
CI/CD practices
Full Job Description
About Us Abacus Insights is transforming how data works 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. 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. We are seeking an accomplished Senior Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment. You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ens
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