Senior Analytics Engineer

CVS Health

Closes in 5 days Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$92,700–$185,400 / yr
Posted
2 days ago
Closes
Jun 25, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k
This role $139k
$77k most similar roles pay here $240k

This role pays less than 82% of similar roles. Most pay $149,850–$223,812 — the shaded band above. At the midpoint, this role pays about $139k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 136 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 131 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Analytics Engineer

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As a Senior Analytics Engineer in the Pharmacy Services Finance Business Intelligence team at CVS Health, you will play a pivotal role in building scalable data pipelines and semantic models to support critical analytics. Your day-to-day responsibilities include developing high-quality architecture for integrating diverse data sources into cohesive analytical frameworks, providing technical guidance on project scope and deployment, and translating complex business requirements into actionable data structures. You will leverage technologies such as BigQuery, SAP HANA, Airflow, Spark, and Kubernetes to create sustainable solutions that minimize manual intervention. Additionally, you will collaborate closely with business stakeholders and analytics partners to ensure timely and consistent decision-making based on robust data analysis. This role requires expertise in SQL, Python, and cloud database management, along with a strong background in quantitative or STEM fields and extensive experience in data engineering and pipeline orchestration.

Skills

SQL Python Airflow Kubernetes BigQuery SAP_HANA Teradata Spark CI/CD serverless_architecture cloud_databases data_orchestration data_pipelines Kimball_dimensional_models agile_methodology

What you'll do

  • Develop scalable architecture and integration for data pipelines and models.
  • Translate complex business requirements into accessible data structures for analytics.
  • Identify and optimize failure points in existing production solutions to enhance efficiency.
  • Build internal tools to streamline development and ensure code quality and consistency.
  • Craft documentation to ensure sustainability and usability by technical partners.

What we're looking for

  • 7+ years of expert-level SQL experience in BigQuery, SAP HANA, Teradata
  • 5+ years of Python or other object-oriented language experience in analytics engineering
  • 5+ years of experience with data orchestration and pipeline services like Airflow, Spark, Kubernetes
  • 3+ years of experience deploying to and managing CI/CD on cloud database platforms
  • 3+ years of experience managing serverless architecture across multiple cloud services

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