Staff Data Engineer, Cybersecurity

CVS Health • Hartford, CT

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. Position Summary: The Staff Data Engineer is responsible for designing, building, and optimizing large-scale data pipelines and solutions on cloud platforms, enabling reliable and efficient data access for analytics and business needs.

Requirements

• 8+ years of hands-on experience in cloud data engineering, data integration, and/or data analysis.
• 5+ years of experience developing scalable data pipelines using SQL, Python, PySpark, and/or Scala.
• 3+ years of experience with Databricks and/or other cloud-native data engineering platforms (Azure, AWS, or GCP).
• 3+ years of experience with creating and maintaining reports and dashboards (preferably in Power BI)
• 1+ years of experience with with data quality frameworks and performance optimization techniques.

Nice To Haves

• Prior experience in Security Engineering, Security Automation, or supporting cybersecurity platforms (e.g., SIEM, SOAR, threat intelligence tools).
• Familiarity with data quality frameworks, data governance practices, and performance optimization techniques.
• Experience applying security controls within cloud data ecosystems, such as secure data lake architectures, role-based access, or sensitive data handling.

Responsibilities

• Analyze complex data structures from disparate sources and design scalable data engineering pipelines.
• Develop and implement robust ELT processes and data workflows using Databricks and cloud technologies.
• Build and optimize data models, data marts, and integration frameworks to support analytics and data science teams.
• Implement data quality checks and validation processes to ensure accuracy, completeness, and consistency.
• Write efficient, maintainable code in SQL, Python, PySpark, and/or Scala for data processing and transformation.
• Document data engineering processes, workflows, and system architecture for knowledge sharing.
• Collaborate with cross-functional teams to understand requirements and deliver data solutions aligned with business needs.
• Gathering data analytics requirements and translating those into highly performant reporting and dashboards

Benefits

• 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.

What This Job Offers

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