Principal Software Development Engineer

Reposted Yesterday
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Irving, TX, USA
In-Office
144K-288K Annually
Expert/Leader
Fitness • Healthtech • Retail • Pharmaceutical
The Role
Lead architecture and implementation of a next-generation, low-latency big-data compute platform for PBM finance. Design scalable batch/streaming/OLAP systems, drive ADRs, mentor senior engineers, partner with finance/actuarial, and deliver production-grade JVM-based services with strong performance, observability, and CI/CD practices.
Summary Generated by Built In

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, backpressure, 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 whitepaper-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 (ArchUnit or equivalent)
  • OLAP and columnar engines (StarRocks, BigQuery, ClickHouse, Snowflake, Druid)
  • Streaming/event-driven systems (Kafka), GraphQL gateways, multi-tenant API design
  • GCP (BigQuery, Vertex, Composer/Airflow) and/or Azure-to-GCP migration patterns
  • Kubernetes, OpenTelemetry, 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:

$144,200.00 - $288,400.00


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 falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on
Benefits Moments.

We anticipate the application window for this opening will close on: 08/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Skills Required

  • 12+ years building production software systems; 3+ years at staff/principal scope
  • Designed and operated big-data systems processing hundreds of millions to billions of rows; understands throughput, latency, partitioning, and cost trade-offs across batch, streaming, and OLAP
  • System design depth: decomposes ambiguous business problems into bounded services; reasons about consistency, failure modes, backpressure, and evolution
  • Architecture leadership: drives ADRs and design reviews, sets and enforces standards (boundaries, testing strategy, schema evolution)
  • Solution design judgment: chooses simplest architecture meeting SLAs; decides when to strangle vs rewrite, split vs keep monolith
  • Strong analytics intuition: SQL fluency, data modeling, parity/reconciliation patterns; partners with finance and actuarial stakeholders
  • 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, meeting sub-second-to-low-minute SLAs on large datasets
  • Communication and presentation: produces whitepaper-quality design docs and executive-readable architecture narratives; presents to VP/SVP audiences
  • Storytelling: frames technical work in business outcomes; communicates migrations, incidents, and metrics to stakeholders
  • Technical leadership without authority: mentors staff/senior engineers, raises hiring bar, drives cross-squad alignment
  • Cloud-native delivery mindset: container-first, observability-first, CI/CD discipline
  • Domain experience: PBM, healthcare claims, pharmacy pricing, rebates, financials, or insurance underwriting
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field (or equivalent experience)
  • Master's in CS, Data Science, or Applied Math
  • Experience replacing or strangling a legacy compute/ETL engine in production without business freeze
  • Experience with Azure Databricks
  • Hexagonal / ports-and-adapters architecture with enforcement (ArchUnit or equivalent)
  • Experience with OLAP and columnar engines (StarRocks, BigQuery, ClickHouse, Snowflake, Druid)
  • Experience with streaming/event-driven systems (Kafka), GraphQL gateways, multi-tenant API design
  • Experience with GCP (BigQuery, Vertex, Composer/Airflow) and/or Azure-to-GCP migration patterns
  • Experience with Kubernetes, OpenTelemetry, and modern CI/CD platforms
  • Public technical writing, conference talks, or open-source contribution
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The Company
HQ: Woonsocket, RI
119,959 Employees
Year Founded: 1963

What We Do

CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.

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