Associate Data Engineer

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

The Associate Data Engineer at CVS Health plays a crucial role in leveraging extensive healthcare data to support data-driven business decisions. This position involves designing, developing, and maintaining data pipelines that handle large datasets, ensuring data quality and accessibility. The role emphasizes collaboration with cross-functional teams to create tools that provide actionable insights, ultimately contributing to the mission of delivering innovative healthcare solutions.

Supports the organization's data infrastructure and ensures the efficient and reliable processing of data. Collaborates with cross-functional teams to design, develop, and maintain data pipelines, databases, and data processing systems. Optimizes data workflows, ensures data quality, and supports data-related initiatives to enable effective data-driven decision-making.

Required Qualifications

• Experience with SQL
• Proficiency in Python or a comparable scripting language
• Familiarity with data warehouses, including data modeling and technical architectures
• Experience with ETL/ELT processes and building high-volume data pipelines
• Knowledge of reporting and analytic tools
• Excellent problem-solving skills and critical thinking ability
• Strong collaboration and communication skills within and across teams

For this role you will need Minimum Requirements

• 0-2 years work experience
• Basic awareness of problem solving and decision making skills

Preferred Qualifications

• Understanding of query optimization, data structures, transformation, metadata, dependency, and workload management
• Experience with big data and cloud architecture
• Experience with Google Cloud Platform (GCP) using tools like BigQuery, Cloud Composer, Dataproc, and Dataflow
• Knowledge of AI and ML tools, such as Vertex AI
• Experience building APIs in Python
• Experience building large-scale applications and high-volume data pipelines
• Working knowledge of orchestration tools, such as Apache Airflow
• Ability to understand complex systems and solve challenging analytical problems
• Data Engineering Professional Certificate preferred.

Education

Bachelor's degree preferred.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$61,800.00 - $123,600.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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