Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Staff Data Engineer - Databricks
Work At Home-Illinois
Actively hiring, first seen by us 1 day ago- Pay
$130,295–260,590Pay period needs review — pay source
The typical pay range for this role is: $130,295.00 - $260,590.00 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. This position also includes an award target in the company’s equity award program. 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
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 experienced and technically proficient Staff Data Engineer to join our team.
Architectural Leadership: Design and build highly scalable, reliable, and fault-tolerant data pipelines and platforms.
Design and build scalable, reliable data pipelines and platforms
Drive the architecture for how data is ingested, transformed, and stored
Mentor and coach other data engineers on best practices and code quality
Implement monitoring, alerting, and logging to find and fix system failures
From the employer’s posting
We are seeking a highly experienced and technically proficient Staff Data Engineer to join our team. This is a senior individual contributor role for a leader who is passionate about designing, building, and scaling our data infrastructure. You will be responsible for tackling our most complex data challenges, driving technical strategy, and mentoring a team of talented engineers. Your work will directly impact our ability to make data-driven decisions and deliver value to our customers.
Architectural Leadership: Design and build highly scalable, reliable, and fault-tolerant data pipelines and platforms. Drive the architectural direction for how we ingest, transform, and store data.
Design and build highly scalable, reliable, and fault-tolerant data pipelines and platforms.
Drive the architectural direction for how we ingest, transform, and store data.
Mentor and coach other data engineers, providing technical guidance and fostering a culture of best practices, code quality, and professional growth.
Implement monitoring, alerting, and logging to proactively identify and resolve performance bottlenecks and system failures.
What you’ll bring
All qualificationsCore experience
- Experience: 7+ years of hands-on experience in data engineering or a similar role, with a proven track record of designing and implementing large-scale data systems.
- Bachelor's degree in Computer Science / Engineering
- Communication: Excellent communication, collaboration, and problem-solving skills, with the ability to explain complex technical concepts to a variety of audiences.
Preferred experience
- Experience with Infrastructure as Code (e.g., Terraform) and CI/CD pipelines.
- Familiarity with streaming technologies such as Kafka or Kinesis.
- Familiarity with healthcare data and healthcare insurance feeds is a plus
Qualification wording
Experience: 7+ years of hands-on experience in data engineering or a similar role, with a proven track record of designing and implementing large-scale data systems.
Bachelor's degree in Computer Science / Engineering
Communication: Excellent communication, collaboration, and problem-solving skills, with the ability to explain complex technical concepts to a variety of audiences.
Experience with Infrastructure as Code (e.g., Terraform) and CI/CD pipelines.
Familiarity with streaming technologies such as Kafka or Kinesis.
Familiarity with healthcare data and healthcare insurance feeds is a plus
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 5, 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 1
Early. Similar jobs usually come down between day 6 and day 54.
At CVS Health, jobs usually come down by about day 4.
From 11,172 similar postings that came down, and 169 of CVS Health’s. Coming down is not always a hire.
CVS Health is hiring
47 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down quickly
- 4% 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
- Azure
- Databricks
- Kafka
- Spark
- Terraform
Where the posting names them
Architectural Leadership: Design and build highly scalable, reliable, and fault-tolerant data pipelines and platforms. Drive the architectural direction for how we ingest, transform, and store data. Technical Execution: Be a hands-on expert in developing and optimizing our core data pipelines using technologies like SQL, Python, Apache Spark, and cloud-native services. Mentorship and Coaching: Act as a force multiplier for the team. Mentor and coach other data engineers, providing technical guidance and fostering a culture of best practices, code quality, and professional growth.
Experience: 7+ years of hands-on experience in data engineering or a similar role, with a proven track record of designing and implementing large-scale data systems. Programming: Proficiency in Python and strong Proficiency of SQL. Cloud Platforms: Extensive experience with at least one major cloud provider's data ecosystem . Azure and Databricks experience is required.
Programming: Proficiency in Python and strong Proficiency of SQL. Cloud Platforms: Extensive experience with at least one major cloud provider's data ecosystem . Azure and Databricks experience is required. Data Warehousing: Strong knowledge of data warehousing concepts, ETL/ELT principles, and modern data lake architectures.
Experience with Infrastructure as Code (e.g., Terraform) and CI/CD pipelines. Familiarity with streaming technologies such as Kafka or Kinesis. Familiarity with healthcare data and healthcare insurance feeds is a plus
Preferred Qualifications Experience with Infrastructure as Code (e.g., Terraform) and CI/CD pipelines. Familiarity with streaming technologies such as Kafka or Kinesis.
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
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.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 experienced and technically proficient Staff Data Engineer to join our team. This is a senior individual contributor role for a leader who is passionate about designing, building, and scaling our data infrastructure. You will be responsible for tackling our most complex data challenges, driving technical strategy, and mentoring a team of talented engineers. Your work will directly impact our ability to make data-driven decisions and deliver value to our customers.
Architectural Leadership: Design and build highly scalable, reliable, and fault-tolerant data pipelines and platforms. Drive the architectural direction for how we ingest, transform, and store data.
Technical Execution: Be a hands-on expert in developing and optimizing our core data pipelines using technologies like SQL, Python, Apache Spark, and cloud-native services.
Mentorship and Coaching: Act as a force multiplier for the team. Mentor and coach other data engineers, providing technical guidance and fostering a culture of best practices, code quality, and professional growth.
Cross-Functional Collaboration: Partner with data scientists, analysts, and product managers to understand complex business requirements and translate them into robust, efficient data solutions.
Operational Excellence: Ensure the operational health of our data systems. Implement monitoring, alerting, and logging to proactively identify and resolve performance bottlenecks and system failures.
Innovation: Stay up-to-date with the latest trends and technologies in data engineering. Champion and lead the adoption of new tools and approaches that will enhance our platform and our team's capabilities.
Quality Assurance: Establish and enforce data quality standards and governance practices to ensure the integrity and reliability of our data assets.
Required Qualifications
Experience: 7+ years of hands-on experience in data engineering or a similar role, with a proven track record of designing and implementing large-scale data systems.
Programming: Proficiency in Python and strong Proficiency of SQL.
Cloud Platforms: Extensive experience with at least one major cloud provider's data ecosystem . Azure and Databricks experience is required.
Data Warehousing: Strong knowledge of data warehousing concepts, ETL/ELT principles, and modern data lake architectures.
System Design: Proven ability to design and build scalable and resilient data systems from scratch.
Communication: Excellent communication, collaboration, and problem-solving skills, with the ability to explain complex technical concepts to a variety of audiences.
Preferred Qualifications
Experience with Infrastructure as Code (e.g., Terraform) and CI/CD pipelines.
Familiarity with streaming technologies such as Kafka or Kinesis.
Familiarity with healthcare data and healthcare insurance feeds is a plus
Education
Bachelor's degree in Computer Science / Engineering
Pay Range
The typical pay range for this role is:
$130,295.00 - $260,590.00
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. This position also includes an award target in the company’s equity award program.
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: $130,295.00 - $260,590.00 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. This position also includes an award target in the company’s equity award program. 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.
- Location & working pattern
Work At Home-Illinois
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.