Data Engineer, CVS Health

CVS Health

Location:
United States, Soho, NYC - Hartford, CT - Wellesley, MA

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

79310.00 - 173040.00 USD / Year

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Job Description:

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Job Responsibility:

Leads and participates in the design, build and management of large scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows
Develop and implement technical efforts to design, build, and deploy GCP application at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics
Participates in all aspects of the software development life cycle for GCP solutions, including planning, requirements, development, testing, and quality assurance
Collaborates with data science team to transform data and integrate algorithms and models into automated processes
Uses strong programming skills in Python, Java or any of the major languages to build knowledge in GCP architecture, and commands to design and optimize queries to build pipelines
Troubleshoot incidents, identify root cause, fix and document problems, and implement preventive measures
Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security
Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues
Employ exceptional problem-solving skills, with the ability to see and solve issues before they affect business productivity
Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company
Define and document best practices and strategies regarding application deployment and infrastructure maintenance
Ensure Performance standards by configuring Auto-Scaling Solution to meet varying Load requirements

Requirements:

2+ years of experience in data engineering, software engineering, and data science concepts
Proficiency in programming languages such as Python, BigQuery, Pig, MySQL or NoSQL or similar
Knowledge in Hadoop and GCP architecture, and experience designing & optimizing queries against data in HDFS or GCP environment
Experience building data transformation and processing solutions
Proven expertise in building robust data pipelines and ETL processes
1+ years of experience developing within an agile development
1+ years of overall experience in large-scale software development

Nice to have:

Strong problem solving skills and critical thinking ability
Strong collaboration and communication skills within and across teams
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Ability to understand complex systems and solve challenging analytical problems
Experience with bash shell scripts, UNIX utilities & UNIX commands
Has strong knowledge of large scale search applications and building high volume data pipelines
In-depth knowledge of healthcare industry standards, regulations, and data privacy concerns

What we offer:

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility

Additional Information:

Job Posted:
August 01, 2025

Expiration:
September 30, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Engineer