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Principal Software Development Engineer

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Hispanic Alliance for Career Enhancement
Full Time position
Listed on 2026-07-04
Job specializations:
  • Software Development
    Software Architect, Software Engineer
Salary/Wage Range or Industry Benchmark: 144200 - 288400 USD Yearly USD 144200.00 288400.00 YEAR
Job Description & How to Apply Below

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position

Summary

Principal Software Engineer for the next-generation compute platform powering CVS Health's PBM underwriting and financial metrics across revenue, rebate, specialty, and P&L. You will set technical direction for a platform that processes hundreds of millions of claims-level records under tight latency SLAs, replacing a legacy compute engine. The role is equal parts deep solution design, big-data architecture, and storytelling - translating PBM financial logic into systems that finance, actuarial, and account teams trust and that engineering teams can extend without breaking.

You will lead architecture decisions, mentor senior and staff engineers, and own the technical narrative with executive stakeholders.

Required Qualifications
  • 12+ years building production software systems; 3+ years at staff/principal scope
  • Big-data fluency at scale - designed and operated systems processing hundreds of millions to billions of rows; comfortable reasoning about throughput, latency, partitioning, and cost trade-offs across batch, streaming, and OLAP workloads
  • System design depth - decomposes ambiguous business problems into bounded services with clear contracts; reasons about consistency, failure modes, back pressure, and evolution from day one
  • Architecture leadership - drives ADRs and design reviews, sets standards (boundaries, testing strategy, schema evolution), and enforces them through tooling rather than tribal knowledge
  • Solution design judgment - picks the simplest architecture that meets the SLA; knows when to strangle a legacy system versus rewrite, when to split a service versus keep it monolithic
  • Strong analytics intuition - SQL fluency, data modeling, parity/reconciliation patterns, comfort partnering with finance and actuarial stakeholders to debug metric drift
  • Hands-on with modern JVM stacks (Java, Spring Boot, Gradle) and SQL-first persistence (JOOQ or peer)
  • Performance engineering - profiling, query-plan reading, caching strategy, hitting sub-second-to-low-minute SLAs on large datasets
  • Communication and presentation - produces white paper-quality design docs, executive-readable architecture narratives, and demos that move decisions; comfortable presenting to VP/SVP audiences
  • Storytelling - frames technical work in business outcomes; turns metrics, migrations, and incidents into narratives stakeholders remember
  • Technical leadership without authority - mentors staff/senior engineers, raises the hiring bar, drives cross-squad alignment
  • Cloud-native delivery mindset - container-first, observability-first, CI/CD discipline, regardless of specific cloud
  • PBM, healthcare claims, pharmacy pricing, rebates, Financial, or insurance underwriting domain experience
Preferred Qualifications
  • Experience replacing or strangling a legacy compute/ETL engine in production without business freeze
  • Experience with Azure databricks is preferred
  • Hexagonal / ports-and-adapters architecture with enforcement (Arch Unit or equivalent)
  • OLAP and columnar engines (Star Rocks, Big Query, Click House, Snowflake, Druid)
  • Streaming/event-driven systems (Kafka), GraphQL gateways, multi-tenant API design
  • GCP (Big Query, Vertex, Composer/Airflow) and/or Azure-to-GCP migration patterns
  • Kubernetes, Open Telemetry, and modern CI/CD platforms
  • Public technical writing, conference talks, or open-source contribution
Education
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field; equivalent experience accepted
  • Master's in CS, Data Science, or Applied Math preferred
Pay Range

The typical pay range for this role is:

$ - $

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position…

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