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Added 2 mins ago
Solution Engineer, Real Time OT Systems
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Real Time Operations Solutions Engineer Senior SG8
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SUPERVISORY GENERAL ENGINEER
Headquarters, Air Force Reserve Command
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Vice President, Quality
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Google Data Specialist
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Senior Full Stack Engineer – .NET & C#
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As a Senior .NET Full Stack Engineer with C#, you will make an impact by designing and developing scalable enterprise applications that support healthcare payer operations, including…
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Project Management Associate I
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** Manufacturing Engineer
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Added 9 mins ago
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CVS Health

Staff Data Engineer - Databricks

Work at Home, IL, United States

$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.

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Job details

Pay: $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.
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.
Posting language: English
Posted: Nov 5, 2026

Original 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.

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: 12/28/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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More about this job

Skills

Databricks
Coaching
Leadership
SQL
Python
Apache Spark
Collaboration
Data engineering
Quality assurance
Microsoft Azure
Data warehousing
Communication skills
Problem solving
Infrastructure as code
IBM Terraform
CI/CD
Apache Kafka
Computer science

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