Senior Data Engineer — Analytics & Data Pipelines

Colorado Psychiatric; Denver (CO); Hybrid; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health in Denver, CO seeks a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands-on role requires expertise in data engineering best practices and translating business requirements into scalable technical solutions.

You will join a team building datasets for analytics and data science, modeling the Core Data Domain to support reporting, ML workloads, and BI integrations while mentoring junior engineers and documenting pipelines.

Qualifications

• Strong SQL skills with complex queries.
• Python programming for ETL pipelines.
• Experience deploying data pipelines in cloud environments (Azure, AWS, GCP).
• Knowledge of data governance best practices in a cloud environment.
• Excellent communication and interpersonal skills to collaborate with data scientists, analysts, and product owners.

Responsibilities

• Data Modeling & Architecture to support analytics and ML requirements.
• Design and build ETL/ELT data pipelines from multiple sources.
• Optimize performance with partitioning and clustering to reduce costs.
• Establish data quality standards and data governance policies.
• Collaborate with data scientists and analysts to design data solutions for BI and ML.
• Create documentation for pipelines, workflows, and processes and mentor junior engineers.
• Design and architect data infrastructure for analytical workloads and data marts.

Skills

SQL proficiency

Python ETL

Cloud data pipelines

Data governance

Communication skills

Education

Bachelor's degree

Job description

CVS Health in Denver, CO seeks a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands-on role requires expertise in data engineering best practices and translating business requirements into scalable technical solutions.

You will join a team building datasets for analytics and data science, modeling the Core Data Domain to support reporting, ML workloads, and BI integrations while mentoring junior engineers and documenting pipelines.