Senior Data Engineer

9025 CVS Shared Services Resources LLC

Hartford (CT)

On-site

USD 102,000 - 204,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs

Job summary

CVS Health in Hartford, CT, is seeking a Senior Data Engineer – GCP to lead modernization of the Stop Loss Reporting Platform and build scalable, cloud-native data solutions on Google Cloud Platform for regulatory and financial reporting.

You will work with BigQuery, Dataflow, Spark, and Python, driving data governance, near real-time analytics, and enterprise reporting while collaborating with cross-functional teams.

Qualifications

  • 5+ years in data engineering, data platform development, and enterprise reporting.
  • 3+ years hands-on with Google Cloud Platform (GCP).
  • Strong SQL development and query optimization skills.
  • Advanced Python development for data engineering, automation, API development, data transformation, orchestration, and analytics workloads.
  • Experience with Apache Spark and PySpark.
  • Experience designing scalable ETL/ELT pipelines.
  • Knowledge of data modeling, dimensional modeling, and large-scale data warehousing.
  • Experience with real-time data processing and event-driven architectures.
  • Strong understanding of data governance, security, compliance, and data quality controls.
  • Experience with Git, CI/CD, Terraform, Docker, Kubernetes, and DevOps practices.
  • Strong analytical, troubleshooting, and problem-solving skills.

Responsibilities

  • Lead design, development, modernization of the Stop Loss Reporting Platform.
  • Build scalable, cloud-native data solutions on GCP.
  • Support regulatory, financial, operational reporting and governance.
  • Enhance data quality, governance, and near real-time reporting.

Skills

GCP
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Storage
Composer
Python
SQL
Spark
PySpark
ETL/ELT pipelines
Data modeling
Data governance
DevOps
Git
CI/CD
Terraform
Docker
Kubernetes

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
Master's degree in Computer Science

Tools

BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Storage
Composer
Kafka
Docker
Kubernetes
Terraform
Git
CI/CD

Job description

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

We are seeking a highly skilled Senior Data Engineer – GCP to lead the design, development, modernization, and support of the Stop Loss Reporting Platform. This role will be responsible for building scalable, cloud-native data solutions on Google Cloud Platform (GCP) that support regulatory reporting, financial reporting, operational analytics, data governance, and enterprise reporting capabilities. The Senior Data Engineer will play a critical role in modernizing legacy reporting processes, improving data quality and governance, enabling near real-time reporting, and supporting strategic data initiatives across the Stop Loss business. The ideal candidate will bring deep expertise in GCP technologies, Python-based data engineering, distributed data processing, and large-scale enterprise data platforms.

Required Qualifications
  • 5+ years of experience in Data Engineering, Data Platform Development, and Enterprise Reporting.
  • 3+ years of hands‑on experience with Google Cloud Platform (GCP).
  • Strong expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
  • Advanced Python development experience for data engineering, automation, API development, data transformation, orchestration, and analytics workloads.
  • Strong SQL development and query optimization skills.
  • Experience with Apache Spark and PySpark.
  • Experience designing and developing scalable ETL/ELT pipelines.
  • Experience with data modeling, dimensional modeling, and large-scale data warehousing solutions.
  • Experience with real-time data processing, event-driven architectures, and data integration frameworks.
  • Strong understanding of data governance, security, compliance, and data quality controls.
  • Experience with Git, CI/CD, Terraform, Docker, Kubernetes, and DevOps practices.
  • Strong analytical, troubleshooting, and problem‑solving skills.
  • Experience supporting mission‑critical production applications and reporting platforms.
Preferred Qualifications
  • GCP Professional Data Engineer Certification.
  • Experience supporting healthcare, insurance, financial, or regulatory reporting platforms.
  • Experience with Kafka, CDC, and streaming architectures.
  • Experience building cloud-native data lake, Lakehouse, or analytics platforms.
  • Exposure to AI/ML data platforms and advanced analytics solutions.
  • Experience with modern data architecture patterns and enterprise-scale cloud migrations.
Education
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • Masters in Computer science
Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is: $101,970.00 - $203,940.00 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.

Benefits
  • 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.

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

Our Work Experience is the combination of everything that’s unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

We anticipate the application window for this opening will close on: 11/17/2026

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