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Data Engineer

CVS Health -
Hartford, CT

Apply Now

Job Details

Full-time
$79,310 - $173,040 a year

Benefits

Health insurance
Dental insurance
Paid time off
Vision insurance

Qualifications

Containerization systems
Data model design
Commercial use (data warehousing systems)
Cloud analytics services
Tooling
Systems architecture within technology
Data retrieval time improvement
UNIX
NoSQL
Application deployment
Reporting and dashboarding tools
Schema design
Infrastructure architecture design
Programming languages
Data Architecture Design (Architecture design skills)
Cloud database architecture
Metadata
Business requirements
Real-time data processing implementation
Query management
Metadata management
Data analysis software

Full 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

If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.

As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.

As a Data Engineer, you will:

Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.

Required Qualifications

1+ years of experience with SQL, NoSQL
1+ years of experience with Python (or a comparable scripting language)
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
1+ years of experience with ETL/ELT, and building high-volume data pipelines
1+ years of experience with reporting/analytic tools
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
1+ years of experience with Big data and cloud architecture
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders

Preferred Qualifications

Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Understanding of software development methodologies including waterfall and agile
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with schema design and dimensional data modeling
Google Professional Data Engineer Certification
Knowledge of microservices and SOA
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge
Experience designing, building, and maintaining data processing systems
Experience architecting and building data warehouse and data lakes

Education

Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required
Master’s Degree preferred

Anticipated Weekly Hours

Time Type

Full time

Pay Range

The typical pay range for this role is:

$79,310.00 - $173,040.00

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.

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: 06/15/2026

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

Apply Now

Refine Your Search

big data engineer jobs in hartford, ct

Data Engineer

Senior Data Engineer

Responsible AI Engineer

Data Engineer - Manager

GCP Cloud Engineer

Staff Software Development Engineer - Fulfillment

Senior Statistician (Onsite)

Senior GenAI Engineer

Onsite solution architect

Senior AI Machine Learning Engineer

Cyber AI Data Engineer Senior Consultant

Data Engineering Leader

Software Engineer, Data Infrastructure & Acquisition - Hartford, CT, USA

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