Senior Software Development Engineer

Position Summary

We are seeking a highly skilled Senior Software Development Engineer/GCP Data Engineering resource to serve as the senior engineer for enterprise data platforms supporting AI‑driven insights and member communications. This role requires deep hands‑on expertise in Google Cloud Platform, combined with strong technical leadership, data architecture ownership, and cross‑team collaboration.

• Technical Leadership:
  Act as the senior technical lead for Project Data Assets in GCP data platform, owning data engineering standards and complex implementation decisions across batch and streaming pipelines.
• Healthcare & Compliance:
  Ensure data solutions comply with healthcare and regulatory standards (e.g., HIPAA, PCI‑DSS, GDPR), implementing secure access, encryption, and governance controls.
• Architecture & Design:
  Design scalable data pipelines using GCP services such as Big Query, Dataflow, Pub/Sub and Cloud Composer, supporting analytics, reporting, and AI/ML workloads.
• Data Engineering & Pipelines:
  Develop and maintain batch and real‑time data ingestion, transformation, and delivery pipelines using Python, Spark, and GCP‑native technologies.
• Performance & Reliability:
  Optimize performance, scalability, and reliability of large‑scale data pipelines through monitoring, logging, and failure‑recovery mechanisms.
• Mentorship & Governance:
  Mentor onshore and offshore engineers, conduct design/code reviews and enforce best practices in data engineering, Dev Ops, and production support across teams.

• GCP Data Platform Development:
  Hands‑on development using Big Query, Cloud Dataflow, Pub/Sub, Cloud Composer (Airflow), and Cloud Functions to build scalable data pipelines.
• Data Engineering & Pipelines:
  Build and manage batch and streaming pipelines using Python, PySpark, SQL, and Apache Beam for high‑volume data processing.
• Integrations & APIs:
  Implement event‑driven architectures using Pub/Sub/Kafka and integrate with multiple systems (Cloud SQL, Firestore, Mongo
  
  DB, external APIs).
• CI/CD & Dev Ops:
  Use enterprise CI/CD pipelines with Git Hub Actions, Jenkins, and Cloud Build; implement infrastructure as code with Terraform.
• Performance Optimization:
  Optimize SQL queries, partitioning strategies, and pipeline performance for large‑scale datasets and real‑time processing.
• AI & Advanced Analytics Enablement:
  Support AI/ML pipelines using Vertex AI, Big Query ML, and advanced data orchestration tools for analytics use cases.

• 5+ years of professional software/data engineering experience with strong hands‑on expertise in GCP.
• 3+ years building and managing large‑scale data pipelines (batch + streaming).
• 3+ years of expertise in Python, SQL, Spark/PySpark, Big Query, Dataflow, Pub/Sub, and Cloud Composer.
• 3+ years experience with CI/CD, Dev Ops, and infrastructure as code (Terraform).
• 3+ years experience working in Agile/Scrum environments.
• 3+ years in data architecture, data modeling, and distributed systems.

• Experience in Healthcare or Insurance.
• Experience with Mongo
  
  DB Atlas.
• Experience working on large‑scale analytics or AI‑driven platforms.
• Familiarity with data governance tools and frameworks (Data Catalog, lineage, quality frameworks).
• Exposure to streaming technologies such as Kafka or Pub/Sub.
• Experience with visualization tools such as Looker, Tableau, or Power BI.

Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience).

40 hours per week.

Full time.

The typical pay range for this role is $92,700.00 - $. This 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. The position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range.

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

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