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Lead Data Engineer ( GCP , BQ , Python, ETL , MLOps ) - RemotePhenom People • United States
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Lead Data Engineer ( GCP , BQ , Python, ETL , MLOps ) - Remote

Phenom People
  • US
    United States
  • US
    United States
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Senior Data Engineer
Analytics & Behavior Change is an innovation engine supporting the entire CVS Health organization by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. Join Analytics & Behavior Change to make a meaningful difference to our communities through data and analytics and help CVS Health change the landscape of the health care industry! This position lies within the Enterprise Data & Machine Learning team. The EDML team focuses on data and ML platform design and development aimed at improving the productivity and efficacy of thousands of fellow data scientists and engineers throughout the organization. This foundation will facilitate hundreds of millions of ML enabled member and consumer touchpoints. Our work is ambitious and far reaching with the potential to become a new internal standard, an OSS project, or differentiating intellectual property. The Enterprise Data and Machine Learning team developing CVS Health's Machine Learning and Feature Engineering Platform is looking for an exceptional Senior Data Engineer to join our team in Hartford, CT or Wellesley, MA with remote work options. This team is building the cloud ML platform to supercharge analytics in a modern centralized ecosystem across the enterprise. As a Senior Data Engineer on the Enterprise Cloud Data and Machine Learning Engineering Platform team, you will support the build out of functionality related to the end-to-end ML and Feature lifecycle management on the Google Cloud Platform. The solution will leverage and integrate the cloud native services with existing operational, automation, and visualization tools and data platforms. The goal is to establish foundational services, automation for project and user enablement, defining best practices, and accelerators for self-service project and use case enablement. The platform serves as the enterprise standard to enable scale, security, transparency, reliability, and speed of analytical asset delivery into production. Key responsibilities include: Enable patterns to integrate with on-prem and cloud data assets across the enterprise for data exploration, feature engineering, and analytics needs (GCP bucket storage, BigQuery, Spanner, FHIR Store, Google Healthcare API, SQL, Teradata, Snowflake) Contribute to the enterprise feature store (standards, data models, features, data governance) Develop batch, near-real, and real-time data processing pipelines and patterns Develop patterns/pipelines for integrating, harmonizing and consumption of data assets formatted in various healthcare, retail, pharmacy, and insurance domains. Build visualizations for system and user monitoring on the platform to enable chargeback and audit/compliance reporting Participate in innovation and research with proof of concepts for complex transformations, notification engines, analytical engines, and self-service analytics Hybrid work model would include coming onsite approximately once/week, 4x/month in Woonsocket, RI; NYC; Harford, CT or Wellesley, MA. Pay Range The typical pay range for this role is: Minimum: 115,000 Maximum: 230,000 Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location. Required Qualifications 5 years of hands-on experience in architecture, design, and development of enterprise data applications and analytics solutions 1 year of experience in Google Cloud Platform/Shared Services such as Cloud Dataflow, Cloud Storage, Pub/sub, Cloud Composer, Big Query, and Health care API (FHIR store) 2 years of experience in Python Hands on experience with RDBMS (Teradata, Oracle, DB2), SQL, Python, Unix Shell scripting, JSON, and XML Preferred Qualifications Experience in developing self-service analytics dashboards in Tableau Experience with real-time data pipelines/application support in healthcare, insurance, or retail domain Working in an agile framework with cross-functional teams Education Bachelor's Degree in Computer Science, MIS or IT related field Masters or PHD preferred Business Overview Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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