Pay
Higher than most similar jobs
$102K–$204K against $89K–$149K, the middle half of what similar US postings state.
From 21,449 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
CT - Hartford
Actively hiring, first seen by us 41 minutes ago- Pay
$101,970–203,940/yearAnnual period assumed — pay source
The typical pay range for this role is: $101,970.00 - $203,940.00 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Time Type Full time Pay Range
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingWe are seeking a highly skilled Senior Data Engineer – GCP to lead the design, development, modernization, and support of the Stop Loss Reporting Platform.
The Senior Data Engineer will play a critical role in modernizing legacy reporting processes, improving data quality and governance, enabling near real-time reporting, and supporting strategic data initiatives across the Stop Loss business.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in Data Engineering, Data Platform Development, and Enterprise Reporting.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- 3+ years of hands-on experience with Google Cloud Platform (GCP).
- Strong expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
- Strong SQL development and query optimization skills.
- Experience with Apache Spark and PySpark.
Preferred experience
- Experience supporting healthcare, insurance, financial, or regulatory reporting platforms.
- Experience with Kafka, CDC, and streaming architectures.
- Experience building cloud-native data lake, Lakehouse, or analytics platforms.
- Experience with modern data architecture patterns and enterprise-scale cloud migrations.
Qualification wording
5+ years of experience in Data Engineering, Data Platform Development, and Enterprise Reporting.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
3+ years of hands-on experience with Google Cloud Platform (GCP).
Strong expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
Strong SQL development and query optimization skills.
Experience with Apache Spark and PySpark.
Experience supporting healthcare, insurance, financial, or regulatory reporting platforms.
Experience with Kafka, CDC, and streaming architectures.
Experience building cloud-native data lake, Lakehouse, or analytics platforms.
Experience with modern data architecture patterns and enterprise-scale cloud migrations.
Education & alternatives
Education - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. - Masters in Computer science
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 14, 2026today
- Recorded sightings
- 1
- Employer says posted
- Nov 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 9 and day 58.
At CVS Health, jobs usually come down by about day 6.
From 40,145 similar postings that came down, and 207 of CVS Health’s. Coming down is not always a hire.
CVS Health is hiring
45 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Other hiring has slowed
- Takes jobs down quickly
- 2% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Docker
- GCP
- Kafka
- Kubernetes
- Spark
- Terraform
- PySpark
Where the posting names them
We are seeking a highly skilled Senior Data Engineer – GCP to lead the design, development, modernization, and support of the Stop Loss Reporting Platform. This role will be responsible for building scalable, cloud-native data solutions on Google Cloud Platform (GCP) that support regulatory reporting, financial reporting, operational analytics, data governance, and enterprise reporting capabilities. The Senior Data Engineer will play a critical role in modernizing legacy reporting processes, improving data quality and governance, enabling near real-time reporting, and supporting strategic data initiatives across the Stop Loss business. The ideal candidate will bring deep expertise in GCP technologies, Python-based data engineering, distributed data processing, and large-scale enterprise data platforms. Required Qualifications
- Strong expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer. - Advanced Python development experience for data engineering, automation, API development, data transformation, orchestration, and analytics workloads. - Strong SQL development and query optimization skills.
- Advanced Python development experience for data engineering, automation, API development, data transformation, orchestration, and analytics workloads. - Strong SQL development and query optimization skills. - Experience with Apache Spark and PySpark.
- 3+ years of hands-on experience with Google Cloud Platform (GCP). - Strong expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer. - Advanced Python development experience for data engineering, automation, API development, data transformation, orchestration, and analytics workloads.
- Strong understanding of data governance, security, compliance, and data quality controls. - Experience with Git, CI/CD, Terraform, Docker, Kubernetes, and DevOps practices. - Strong analytical, troubleshooting, and problem-solving skills.
Position Summary We are seeking a highly skilled Senior Data Engineer – GCP to lead the design, development, modernization, and support of the Stop Loss Reporting Platform. This role will be responsible for building scalable, cloud-native data solutions on Google Cloud Platform (GCP) that support regulatory reporting, financial reporting, operational analytics, data governance, and enterprise reporting capabilities. The Senior Data Engineer will play a critical role in modernizing legacy reporting processes, improving data quality and governance, enabling near real-time reporting, and supporting strategic data initiatives across the Stop Loss business. The ideal candidate will bring deep expertise in GCP technologies, Python-based data engineering, distributed data processing, and large-scale enterprise data platforms.
- 5+ years of experience in Data Engineering, Data Platform Development, and Enterprise Reporting. - 3+ years of hands-on experience with Google Cloud Platform (GCP). - Strong expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
- Experience supporting healthcare, insurance, financial, or regulatory reporting platforms. - Experience with Kafka, CDC, and streaming architectures. - Experience building cloud-native data lake, Lakehouse, or analytics platforms.
- Strong SQL development and query optimization skills. - Experience with Apache Spark and PySpark. - Experience designing and developing scalable ETL/ELT pipelines.
Your next step
Complete your application on cvshealth.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has CVS Health posted this job before?
Yes. We’ve followed 4 other Senior Data Engineer jobs there since September 2026. 3 came down, usually after about 7 days. One is still up.
If this one keeps the same pace, it may come down around November 21.
Large employers often post one title for several teams, so these can be separate openings.
About CVS Health
- People
- About 300,000 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
- Company
- Listed as CVS.
Job 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 – GCP to lead the design, development, modernization, and support of the Stop Loss Reporting Platform. This role will be responsible for building scalable, cloud-native data solutions on Google Cloud Platform (GCP) that support regulatory reporting, financial reporting, operational analytics, data governance, and enterprise reporting capabilities.
The Senior Data Engineer will play a critical role in modernizing legacy reporting processes, improving data quality and governance, enabling near real-time reporting, and supporting strategic data initiatives across the Stop Loss business. The ideal candidate will bring deep expertise in GCP technologies, Python-based data engineering, distributed data processing, and large-scale enterprise data platforms.
Required Qualifications
- 5+ years of experience in Data Engineering, Data Platform Development, and Enterprise Reporting.
- 3+ years of hands-on experience with Google Cloud Platform (GCP).
- Strong expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
- Advanced Python development experience for data engineering, automation, API development, data transformation, orchestration, and analytics workloads.
- Strong SQL development and query optimization skills.
- Experience with Apache Spark and PySpark.
- Experience designing and developing scalable ETL/ELT pipelines.
- Experience with data modeling, dimensional modeling, and large-scale data warehousing solutions.
- Experience with real-time data processing, event-driven architectures, and data integration frameworks.
- Strong understanding of data governance, security, compliance, and data quality controls.
- Experience with Git, CI/CD, Terraform, Docker, Kubernetes, and DevOps practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience supporting mission-critical production applications and reporting platforms.
Preferred Qualifications
- GCP Professional Data Engineer Certification.
- Experience supporting healthcare, insurance, financial, or regulatory reporting platforms.
- Experience with Kafka, CDC, and streaming architectures.
- Experience building cloud-native data lake, Lakehouse, or analytics platforms.
- Exposure to AI/ML data platforms and advanced analytics solutions.
- Experience with modern data architecture patterns and enterprise-scale cloud migrations.
Education
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Masters in Computer science
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00This 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 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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The typical pay range for this role is: $101,970.00 - $203,940.00 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.
- Location & working pattern
CT - Hartford
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.