Associate Data Engineer

CVS Health • Irving, TX

9d

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 CVS Health has a rich set of healthcare data of more than 150 million individuals and provides the best foundation for any ambitious data engineer to work on billions of records of healthcare data. The Associate Data Engineer will design and develop highly scalable and extensible data platforms including but not limited to RDBMS / Big Data / Cloud, which enables industrializing collection, storage, modeling, and analysis of massive data sets from heterogeneous channels. 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. Compiles data from different sources and systems, ensuring compatibility and consistency, and works with APIs, connectors, and cloud services to build software applications Conducts data quality checks and validation processes to ensure data accuracy, completeness, and consistency Compiles data engineering processes, workflows, and systems for reference and knowledge sharing purposes. Builds efficient and scalable data pipelines. Communicates effectively with technical and non-technical stakeholders, translating complex technical concepts into understandable terms. Actively contributes to team meetings, brainstorming sessions, and collaborative projects, by sharing ideas, providing feedback, and contributing to the overall goals and objectives of the team. Assists team members with tasks, timelines, and deliverables, including collaborating on projects, sharing information, and ensuring effective communication within the team.

Requirements

• Understanding of programming languages like R, Python, Node.JS and SQL
• Understanding of cloud technologies - Azure, GCP or AWS
• Understanding of LLMs and AI Agents
• Bachelor’s Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field

Nice To Haves

• Strong problem solving skills
• Experience working with stakeholders
• Experience working in teams
• Track record of delivering results

Responsibilities

• design and develop highly scalable and extensible data platforms including but not limited to RDBMS / Big Data / Cloud, which enables industrializing collection, storage, modeling, and analysis of massive data sets from heterogeneous channels
• 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
• Compiles data from different sources and systems, ensuring compatibility and consistency, and works with APIs, connectors, and cloud services to build software applications
• Conducts data quality checks and validation processes to ensure data accuracy, completeness, and consistency
• Compiles data engineering processes, workflows, and systems for reference and knowledge sharing purposes
• Builds efficient and scalable data pipelines
• Communicates effectively with technical and non-technical stakeholders, translating complex technical concepts into understandable terms
• Actively contributes to team meetings, brainstorming sessions, and collaborative projects, by sharing ideas, providing feedback, and contributing to the overall goals and objectives of the team
• Assists team members with tasks, timelines, and deliverables, including collaborating on projects, sharing information, and ensuring effective communication within the team

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
• Number of Employees: 5,001-10,000 employees