[Hiring] Staff Data Engineer @CVS Health

Role Description

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.

Qualifications

• 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.
• Proficiency in Python and strong proficiency in SQL.
• Extensive experience with at least one major cloud provider's data ecosystem; Azure and Databricks experience is required.
• Strong knowledge of data warehousing concepts, ETL/ELT principles, and modern data lake architectures.
• Proven ability to design and build scalable and resilient data systems from scratch.
• Excellent communication, collaboration, and problem-solving skills, with the ability to explain complex technical concepts to a variety of audiences.

Requirements

• 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.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.