Associate Data Engineer - Enterprise Identity Services

CVS Health

1d

About The Position

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. Position Summary 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.)

Requirements

• 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

Nice To Haves

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

Responsibilities

• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level