Staff Data Engineer

CVS Health

1d

About The Position

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. Job Description 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. The position will be focused on data quality and timeliness metrics from 25+ payers across 10+ data domains.

Requirements

• 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 (AWS, Azure, or GCP)
• 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

Nice To Haves

• 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

Responsibilities

• 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.
• Be a hands-on expert in developing and optimizing our core data pipelines using technologies like SQL, Python, Apache Spark, and cloud-native services.
• Mentor and coach other data engineers, providing technical guidance and fostering a culture of best practices, code quality, and professional growth.
• Partner with data scientists, analysts, and product managers to understand complex business requirements and translate them into robust, efficient data solutions.
• Ensure the operational health of our data systems. Implement monitoring, alerting, and logging to proactively identify and resolve performance bottlenecks and system failures.
• 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.
• Establish and enforce data quality standards and governance practices to ensure the integrity and reliability of our data assets.

Benefits

• 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 https://jobs.cvshealth.com/us/en/benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level