Senior Manager, Data Engineering

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

If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.

As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.

In this role, you will:

• Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions. Experiments with available tools and advice on new tools to determine optimal solution given the requirements dictated by the use cases.

• Provide technical leadership and mentorship to a team of data engineers. Collaborate with cross-functional teams to align analytical initiatives with overall business goals
• Analyzes complex data structures from disparate data sources and design large scale data engineering pipeline.
• Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Implement data ingestion pipeline using APIs, third party tools, or create custom codes to ingest high volume data into Cloud environment.
• Writes processes, designs database systems and develops tools for real-time and offline analytic processing.
• Collaborates with product business and data engineering/science teams to collect user stories, translate into technical specifications, and implement data transformation, algorithms and models into automated processes.
• Uses strong programming skills in PySpark/Python/ or any of the major languages to build robust data pipelines and dynamic systems.
• Builds highly scalable and extensible data marts and data models to support external and internal customers on Cloud. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
• Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions.
• Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions.
• Interact with internal and external peers and managers to exchange complex information related to areas of specialization.
• The ideal candidate should be detailed oriented with the ability to quickly understand complex situations, manage multiple urgent tasks at the same time and have a proven track record of communicating in an open and honest way that quickly builds trust and respect.
• The ideal candidate should work with data related to a wide range of customer interactions and analytics. This role will be responsible for designing and deploying large scale Data engineering solutions   with support from Business and Product Team.
• Experiments with available tools and advice on new tools to determine optimal solution given the requirements dictated by the model/use cases.
• Define objectives and key milestones to meet short- and long-term needs of business stakeholders and oversee project management /scrum activities including team communication, leadership updates, stakeholder management and timelines
• Develop and maintain relationships with wide range of stakeholders including business partners, IT, other data engineering/analytic teams, Legal, etc.
• Experiments with available tools and advice on new