Staff Systems Engineer – Digital

Job not on LinkedIn

🕒 September 23

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $118.5k - $236.9k / year

⏰ Full Time

🔴 Lead

⚙️ Systems Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Define and own enterprise data architecture strategy across operational, analytical, and AI/ML workloads • Design and govern data models, data contracts, and canonical schemas • Evaluate and standardize data platform tooling, including data lakes, warehouses, streaming, and serving layers • Serve as the primary subject matter expert for shared data platform concerns • Lead technical design and solutioning for foundational data components • Own data governance frameworks covering classification, lineage, ownership, and quality standards • Partner with legal, security, and compliance teams on HIPAA, CCPA, and healthcare regulatory requirements • Define and enforce access control, masking, and PHI-handling patterns • Drive data catalog adoption and metadata management • Establish data retention, archival, and deletion standards • Design architectures supporting AI/ML training, feature engineering, and inference pipelines • Define feature store patterns and real-time serving strategies • Partner with AI engineering teams on LLM and generative AI data contracts and schemas • Establish dataset versioning, training/serving skew detection, and model input monitoring patterns • Advise product engineering, platform, and analytics teams on data architecture • Create documentation, architecture decision records, and onboarding guides • Drive alignment on data standards, naming conventions, and shared data products • Establish data quality, observability, alerting, lineage, and incident response standards • Drive data reliability engineering practices and pipeline testing

🎯 Requirements

• 7+ years of experience in data engineering, data architecture, or related roles • 5+ years of hands-on experience with cloud-native data platforms, including GCP (BigQuery, Dataflow, Pub/Sub) and Azure Synapse • 5+ years of experience with data governance, compliance, and regulatory requirements • Proven track record of building and governing enterprise-scale data platforms across multiple product teams • Strong communication skills for technical and non-technical stakeholders • Expertise in relational and non-relational data modeling, including dimensional modeling, Data Vault, or event-sourced patterns • Strong command of SQL and at least one data pipeline language: Python, Scala, or Spark • Experience with streaming data architectures such as Kafka, Pub/Sub, or Kinesis • Experience with data governance tooling such as Dataplex, Collibra, or Alation • Familiarity with data mesh principles and federated data ownership models • Knowledge of feature store platforms such as Feast, Tecton, or Vertex AI Feature Store • Experience with dbt, Great Expectations, or similar data transformation and quality frameworks • Exposure to LLM data pipelines, RAG architectures, embedding generation, or vector database design • Bachelor's degree or equivalent experience (high school diploma plus 4 years of relevant experience)

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program • Equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being