Senior Data Engineer - AdTech
Immigration summary
Visa sponsorship
This employer sponsors this kind of work repeatedly, and is still filing this year.
1,385 recent H-1B filings · 174 similar-role filings
View visa evidenceGreen card sponsorship
This employer has recently sponsored green cards at scale.
133 recent certified PERM filings · 46 similar-role filings
View green card evidenceJob 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
We are seeking a highly skilled Senior Data Engineer to join our Data Engineering team to design, build, robust and scalable solutions to support data-driven applications analytics and business intelligence solutions.
You will partner closely with business stakeholders, analysts, product teams, and fellow engineers to engineer scalable, cloud-native data pipelines. Leveraging the modern GCP data stack you will own the full data lifecycle - from data modeling and ETL/ELT development to performance tuning, troubleshooting, and continuous improvement.
Location: Must work a hybrid work schedule in one of our hub locations (Chicago area, Boston area, New York City, Dallas area, Phoenix area, Hartford CT, or Woonsocket RI).
Required Qualifications
3+ years of experience working with SQL and relational database management systems
3+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc.
3+ years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata etc.
Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services.
Hands-on experience with dimensional data modeling, schema design, and data warehousing
Hands-on experience with troubleshooting data issues
Hands-on experience with various performance improvement techniques
Willingness to identify and implement process improvements, and best practices as well as ability to take ownership to work within a fast-paced, collaborative, and team-based support environment
Excellent oral and written communication skills
Preferred Qualifications
Experience with data platforms such as BigQuery, Teradata, Snowflake, Azure, AWS, or GCP.
Experience supporting healthcare, pharmacy benefit management (PBM), or specialty pharmacy data environments.
Familiarity with real-time data integration, CDC (Change Data Capture), or event-driven data architectures.
Experience with workflow orchestration and automation tools.
Exposure to cloud migration initiatives and hybrid data architectures.
Experience with monitoring, observability, and operational support best practices.
Education
Bachelor's degree in Computer Science or a related field or equivalent work experience.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
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: 09/29/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Silent on sponsorship
Other openings
15 of 21584 recent openings at this employer state a sponsorship restriction.
Employer H-1B history
- 1,385
- recent certified H-1B filings
- 673
- new-hire petitions
- 174
- filings for similar roles
- 1,296
- so far in FY2026
Filed titles like this role: data engineer
More evidence details
- 174 certified H-1B filings for this same role, 673 new-hire petitions across the employer, and 746 new hires already this year
- 174 certified H-1B filings for this same role
- 1,385 recent certified H-1B filings across the employer
- Still filing this year — 1,296 filings in FY2026
- 317 USCIS H-1B new-employment approvals, counted separately from LCA filings
- Strong filing activity in RI
- 2,668 further USCIS approvals for extensions or transfers
- 15 other recent postings at this company state a sponsorship restriction
- The posting says nothing about sponsorship either way
Strong filing activity in RI.
Green card sponsorship evidence
Employer PERM history
- 133
- recent certified PERM filings
- 46
- filings for similar roles
- 36
- filings in this location
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at CVS HealthHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 530 filing titles were examined for this employer.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.