Senior Analytics Engineer, CVS Health

CVS Health

Location:
United States, Work at Home, Connecticut

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

101970.00 - 203940.00 USD / Year

Save Job

Apply Position

Job Description:

As a Senior Analytics Engineer within the Pharmacy Services Finance Business Intelligence, Automation, & Advanced Analytics organization, you'll have the opportunity to become a trusted consultant to the CFO organization, building scalable and sustainable pipelines for massive amounts of enterprise data. Leveraging industry leading technology, you'll be tasked with engineering the architecture of Finance data supporting critical analytics from numerous disparate sources, all integrated into semantic models and marts.

Job Responsibility:

Develop high quality, scalable architecture and integration for data pipelines and models
Provide subject matter expertise in the engineering space, making recommendations on project scope, architecture, deliverables, acceptance, and deployment
Translate complex business questions and requirements into accessible data structures that can be leveraged to drive analytics and decision-making
Leverage industry and enterprise standard frameworks to build sustainable and automated source data extraction, load, and transformation
Identify potential failure points and optimization opportunities in existing production solutions to engineer a more efficient, consistent, and timely pipeline
Develop internal tools to streamline development and ensure consistency and quality in code
Craft appropriate documentation to ensure sustainability and usability by technical partners
Build strong and enduring relationships with business partners, promoting trust and collaboration
Proactively partner with visual analytics teammates to collaborate on solution architecture and execution
Provide technical guidance and direction to more junior engineers

Requirements:

5+ years of experience writing expert level SQL within database systems such as BigQuery, SAP HANA, Teradata
5+ years of experience with Python or other object-oriented languages in an analytics engineering setting
5+ years of experience with data, orchestration, and pipeline engineering services such as Airflow, Spark, Kubernetes, preferably Composer / Dataproc
3+ years of experience deploying to, and managing CI/CD within, cloud database platforms
3+ years of experience managing serverless architecture and integrations across multiple cloud services
Bachelor's degree in a quantitative or STEM field OR equivalent experience

Nice to have:

Experience engineering scalable and sustainable production-ready solutions that require minimal manual intervention
Experience with designing and implementing Kimball dimensional models
Ability to identify potential technical problems and craft innovate solutions to overcome them
Experience working in an agile project environment
Exceptional written and oral communication skills with the ability to influence at multiple levels of the organization
Ability to work quickly under potentially ambiguous circumstances
Master's degree in a STEM field preferred

What we offer:

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:
November 11, 2025

Expiration:
November 18, 2025

Employment Type:

Fulltime

Work Type:

Remote work

View All Jobs In This Company

Job Link Share:

Senior Analytics Engineer