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Cvs Data Engineer Jobs in Ohio (NOW HIRING)

Sr. SQL Developer Client CVS Cleveland, OH Day to Day: * Creating SSRS packages * Creating SQL stored procedures * Creating dashboards with python * Extracting and Loading Data using API's * Building ...

Senior Embedded Hardware Engineer

Fairborn, OH ยท On-site

$86K - $114K/yr

... cvs). * software defect tracking tools (JIRA, Redmine, Bugzilla). * software debugging tools (gdb ... Data Solutions in Dayton, Ohio prides itself on experience, expertise, and low risk solutions. Our ...

Senior Embedded Hardware Engineer

Fairborn, OH ยท On-site

$86K - $114K/yr

... cvs). * software defect tracking tools (JIRA, Redmine, Bugzilla). * software debugging tools (gdb ... Data Solutions in Dayton, Ohio prides itself on experience, expertise, and low risk solutions. Our ...

senior java developer

Ohio City, OH

$53.75 - $68.75/hr

Good working knowledge in version control tools like SVN, CVS, GIT, Stash, and Team Foundation ... Big data experience. * Teamwork & collaboration skills to work across organizations and lead cross ...

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Showing results 1-20

Cvs Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do cvs data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for cvs data engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a CVS Data Engineer?

A CVS Data Engineer is a technology professional responsible for designing, building, and maintaining the data infrastructure and pipelines at CVS Health. They work with large datasets from various sources, ensuring data is properly collected, processed, and made available for analysis. These engineers collaborate with data scientists, analysts, and other IT teams to support data-driven decision making. Their work is critical for optimizing business operations and improving health outcomes at CVS.

What are the key skills and qualifications needed to thrive as a CVS Data Engineer, and why are they important?

To thrive as a CVS Data Engineer, you need a solid background in computer science, data modeling, and SQL, typically supported by a relevant degree and experience in data engineering. Familiarity with ETL tools, big data technologies like Hadoop or Spark, and cloud platforms such as AWS or Azure is often required, along with certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication help you excel in collaborating with cross-functional teams and translating business needs into technical solutions. These skills ensure efficient data pipeline development, accurate data analysis, and support for data-driven decision-making within CVS Health.

How does a CVS Data Engineer typically collaborate with data scientists and business analysts on projects?

As a CVS Data Engineer, collaboration with data scientists and business analysts is a key part of the role. Data engineers are responsible for building and maintaining the data pipelines and infrastructure that enable efficient access to large datasets. They work closely with data scientists to understand data requirements, ensure data quality, and facilitate the delivery of clean, structured data for modeling or analysis. Regular meetings and shared project management tools help align efforts, and it's common for data engineers to assist analysts in troubleshooting data issues or optimizing queries for reporting and analytics.

What is the difference between Cvs Data Engineer vs Cvs Data Analyst?

AspectCvs Data EngineerCvs Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, database managementData interpretation, reporting, visualization tools
Employer & Industry UsageTech companies, finance, healthcareMarketing firms, retail, consulting

The Cvs Data Engineer focuses on building and maintaining data infrastructure, while the Cvs Data Analyst interprets data to provide insights. Both roles require strong technical skills, but Data Engineers handle data pipelines and storage, whereas Data Analysts focus on analyzing and visualizing data for decision-making.

Infographic showing various Cvs Data Engineer job openings in Ohio as of June 2026, with employment types broken down into 78% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.
Sr. SQL Developer

Sr. SQL Developer

RIT Solutions

Peninsula, OH โ€ข On-site

Other

Posted 5 days ago


Job description

Sr. SQL Developer Client CVS Cleveland, OH

Day to Day:

  • Creating SSRS packages
  • Creating SQL stored procedures
  • Creating dashboards with python
  • Extracting and Loading Data using API's
  • Building ETL processes

Must Haves:

  • 10-15 years of SQL development experience
  • Azure Data Factory
  • API's
  • Python experience
  • SSRS, ETL
  • Able to interface with senior leadership
  • Experience creating dashboards

Must Have:

  • Expert level experience with T-SQL(10+ years). Should have hands on experience with writing complex and optimized queries, analytical queries and performance tuning.
  • Extensive hands-on with SSIS (10+ years)
  • Must have hands-on with architecting end-to-end integration solutions and data syncs between OLTP and BI systems.
  • Must have experience with extracting & loading data using APIs.
  • Build custom modules using C#
  • Experience with Power BI developing Analytical and Operational dashboards.
  • Experience with Microsoft Azure (ADF) (5+ years)
  • Experience with Python (3+ years)
  • Prior experience working with healthcare data
  • Excellent organizational, interpersonal, presentation, and analytical skills. Ability to perform comfortably in a fast-paced, dynamic and deadline-oriented work environment
  • Ability to successfully execute multiple complex tasks simultaneously

Good to Have:

  • Experience with Snowflake
  • Experience using PowerShell scripts (2+ years)