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Data Engineer

AT CVS Health
CVS Health

Data Engineer

New York, NY

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.Position Summary

  • 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
Required Qualifications

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  • 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
Preferred Qualifications
  • 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
Education

Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Statistics, Business Analytics, Engineering, or a related discipline. A Master's degree is preferred. Anticipated Weekly Hours
40Time Type
Full timePay Range

The typical pay range for this role is:$79,310.00 - $173,040.00This 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 peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
  • 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.
For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 05/15/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Client-provided location(s): New York, NY, USA
Job ID: CVS-R0578299
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • HSA
    • HSA With Employer Contribution
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K) With Company Matching
  • Professional Development

    • Tuition Reimbursement
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program