Overview
Remote
USD 130,295.00 - 260,590.00 per year
Full Time
Skills
Health Care
IT Strategy
Medicare
Leadership
Core Data
Apache Spark
Coaching
Mentorship
Operational Excellence
Innovation
Quality Assurance
Data Quality
Data Engineering
Python
SQL
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Data Warehouse
Extract
Transform
Load
ELT
Data Lake
Systems Design
Scratch
Communication
Collaboration
Problem Solving
Conflict Resolution
Terraform
Continuous Integration
Continuous Delivery
Job Details
At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
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.
The position is open in a data engineering team that is responsible for processing Claims, Revenue, Medicare Specific files and data from 30+ payors into our Data Warehouse.
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 Python, SQL, 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 a 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 (AWS, Azure, or Google Cloud Platform).
- 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.
- Deep expertise in building data pipelines with distributed processing frameworks like Apache Spark (PySpark, Scala, or Java).
- Master's degree or PhD.
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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
For more information, visit ;br>
We anticipate the application window for this opening will close on: 09/30/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
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.
The position is open in a data engineering team that is responsible for processing Claims, Revenue, Medicare Specific files and data from 30+ payors into our Data Warehouse.
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 Python, SQL, 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 a 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 (AWS, Azure, or Google Cloud Platform).
- 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.
- Deep expertise in building data pipelines with distributed processing frameworks like Apache Spark (PySpark, Scala, or Java).
- Master's degree or PhD.
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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit ;br>
We anticipate the application window for this opening will close on: 09/30/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.