Associate Cloud Data Engineer ( SQL , Python , ETL, Cloud )

Posted Yesterday
Hartford, CT, USA
In-Office
68K-136K Annually
Junior
Fitness • Healthtech • Retail • Pharmaceutical
The Role
Build scalable, secure data pipelines and ETL/ELT processes in cloud environments to standardize and integrate data, create data models/marts, support data science, automate workflows, and improve data accessibility across the enterprise.
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:

At CVS Health, everything starts with our vision to reimagine health care by putting people at the center of all we do and redefine health care in America. Our strategy is focused on making bold moves to deliver solutions that are personalized, connected and increasingly digital.

To execute on our vision and strategic imperatives, the Enterprise Data Services & Operations (EDSO) team is focused on building a modern, connected data ecosystem that accelerates the use of data, analytics, and advanced AI. We are looking for passionate and motivated Data Engineers to join our growing team of engineers. We are on a mission to transform technology and health care and you will play a pivotal role in executing our strategies and making our vision come true.  

Training and development will be a part of your role. Due to this you must have the ability to commute to one of the following office location: Hartford, CT.

This is a hybrid role (3 days a week onsite) in the Aetna offices in Hartford, CT.

Responsibilities:

  • Develops scalable, repeatable and secure data structures and pipelines to organize, collect, standardize and integrate data that facilitate more complete, accurate and consistent data for insights and reporting
  • Builds efficient, high quality, integrated and increasingly real-time ETL/ELT processes using tools, programming languages and services
  • Delivers data capabilities and new data products to accelerate investments in data and democratize data across the enterprise and within the Health Care Business unit
  • Collaborates with data science team to transform data and integrate algorithms and models into automated processes 
  • Builds data models, data marts and extracts to support Data Science, internal customers and third-party administrators
  • Analyzes data, understands complex systems and solves challenging data sourcing and integration problems
  • Promotes engineering excellence by simplifying, optimizing, and automating processes and workflows
  • Innovates by leveraging and practicing agile techniques to achieve efficiency, boost productivity and improve processes

Required Qualifications:

  • 1+ years hands-on experience building and deploying data pipelines
  • 1+ years' experience using Python and any ETL tool
  • Working experience in Relational databases or Hadoop with strong understanding of SQL or HQL
  • Hands on experience in building solutions in public cloud environments (GCP, Azure or AWS)
  • Strong problem-solving skills and critical thinking ability

Preferred Qualifications:

  • Experience building ETL data pipelines in Python or equivalent technology
  • Experience in GCP Cloud services such as Big Query, Composer, Airflow, DataProc.
  • Working background with tools Tableau, Alteryx and/or ThoughtSpot
  • Basic Understanding of some ETL Tools, Native BigQuery etc.
  • Experience with bash shell scripts, UNIX utilities & UNIX Commands, CI/CD
  • Agile practice experience with methodologies like SAFe.
  • Healthcare domain experience.

Education:

  • Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine   Learning, or related discipline
  • Master’s degree or PhD preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$67,980.00 - $135,960.00

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: 06/22/2026

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

Skills Required

  • 1+ years hands-on experience building and deploying data pipelines
  • 1+ years' experience using Python and any ETL tool
  • Working experience in Relational databases or Hadoop with strong understanding of SQL or HQL
  • Hands on experience in building solutions in public cloud environments (GCP, Azure or AWS)
  • Strong problem-solving skills and critical thinking ability
  • Ability to commute to Hartford, CT and work hybrid (3 days onsite)
  • Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline
  • Experience building ETL data pipelines in Python or equivalent technology
  • Experience in GCP Cloud services such as BigQuery, Composer, Airflow, DataProc
  • Working background with tools Tableau, Alteryx and/or ThoughtSpot
  • Basic understanding of ETL tools and native BigQuery
  • Experience with bash shell scripts, UNIX utilities & commands, and CI/CD
  • Agile practice experience with methodologies like SAFe
  • Healthcare domain experience
  • Master's degree or PhD
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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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