Analytic Data Engineer

Data Engineer Position

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. We're seeking a data engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other data engineers and sr. data engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:

• Data pipeline development: Design and build etl/elt data pipelines to ingest, process, and transform datasets from multiple sources.
• Performance optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries.
• Data quality & governance: Follow data quality standards, data governance frameworks, and security policies for data storage and access.
• Data modeling & architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
• Data integration & transformation: Collaborate with data scientists and analysts to design data solutions that integrate with bi tools and machine learning models.
• Documentation & knowledge sharing: Create comprehensive documentation for data pipelines, workflows, and processes.

Required qualifications:

• 2+ years of applicable work experience.
• Proficiency in python, specifically with etl pipelines.
• Strong proficiency in sql and experience in developing complex queries.
• Experience deploying data pipelines in a cloud environment (any of azure, aws, gcp).
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts.

Preferred qualifications:

• Experience working with healthcare data, especially epic.
• Experience using gcp's bigquery.
• Knowledge of data governance best practices in a cloud environment.
• Experience working with machine learning processes.

Education: College degree or certification in related fields.

Anticipated weekly hours: 40.

Time type: Full time.

Pay range: The typical pay range for this role is: $64,890.00 - $173,040.00.

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.

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.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.