Associate Data Engineer - Enterprise Identity Services - Remote Eligible

Enterprise Identity Services Team Member

We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

This role would be joining our Enterprise Identity Services team. Our team owns and manages a data platform which serves to identify our customers regardless of which channel they engage. The identity demographic information is used to power programs and services that help drive customer safety and access to services. The goal is to provide a trusted and definitive identity data asset that can be consumed across all lines of business. Our customers are our most important asset and identity information is a strategic enabler for CVS Health.

This role will join a Data Operations team directly responsible for improving the accuracy and understanding of our data products. The data operations team will be responsible for data engineer and analysis, quality measures and improvement, data flows and forecasting, and managing our relationship with our customers. The ideal candidate should have familiarity and/or expertise with basic data engineering topics (e.g. data quality and critical data elements, data analysis, preparing and providing data extracts to solve problems.)

Job Responsibilities may include:

• Identifying, analyzing, and drawing conclusions from raw data
• Using software to automate data collection and modification
• Sourcing missing data
• Predicting trends or patterns in complex data sets
• Developing, updating, and automating reports and dashboards using visualization tools
• Assessing the quality of data, removing or cleaning data

Required Qualifications:

• 1+ years of coding experience in languages such as SAS, R, Stata, or Python
• 1+ years of programming experience with frameworks such as Javascript, ETL, etc.
• 1+ years of experience of advanced use of SQL functions
• 1+ years of experience with data-visualization tools

Preferred Qualifications:

• Experience & certification on GCP.
• Experience working with MDM technology and concepts.
• Excellent analytical and problem solving skills.
• Excellent written and verbal communication skills.

Education:

• Bachelor's Degree in Computer Science, Information systems or similar.
• 1 year of experience required for every year of college degree not obtained in addition to required years of experience.

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.