Job Description
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 prop
As a Senior Data Engineer on the Enterprise Cloud Data and Machine Learning Engineering Platform team, you will develop and enable features for the enterprise cloud machine learning platform on the Google Cloud Platform, and support the migration and delivery of solutions for the consumer analytics portfolio. As a core team member, supporting cross functional business capabilities (PBM, Retail, Healthcare), the team is tasked with building and scaling the feature engineering and the machine learning foundational capabilities and standards for the enterprise. You will also enable cost management/reporting, user/admin automation, and performance optimization and scaling best practices for the organization.
Key Responsibilities:
• Identifying, creating, preparing data required for ML & BI solutions
• Designing, coding, testing and Deploying various ML, MLOps & BI solutions using existed cloud provided services/software application (preferred in GCP)
• Migrating ML/BI solutions into cloud environments and integrating them with other components in the application
• Support, Maintenance, tuning and adapting/scaling applications to keep them performing to specifications
• Delivery of features aligned to foundational enterprise MLOPS capability
Pay Range
The typical pay range for this role is:
Minimum: 90,000
Maximum: 180,000
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
• 3+ years of data engineering on cloud platforms and cloud data processing services (preferably GCP/AWS acceptable)
• 3+ years of Hands-on SQL and Python, other languages are preferable (PySpark, Java, Scala)
• 1+ years of experience in Big Data technologies (BigQuery, Spanner, Fire store, Hadoop, Spark, Databricks, Snowflake)
• 1+ years of hands-on experience in Data optimization and migration (like Spark to BigQuery)
Preferred Qualifications
• GCP Certified preferred
• Good understanding of ETL tools like Glue, Data Factory, and data modelling
• Proficiency with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M, Tidal, Nexus)
• Good analytical and creative problem-solving skills
• Open mindset, ability to quickly adapt new technologies
• Strong experience with building solutions using cloud native services: bucket storage, BigQuery, Kubernetes, Dataproc, VertexAI
• Hands on experience with GKE, Kubernetes Service Mapping, Configuration and Kubeflow pipelines
• Ability to select infrastructure components GPU’s or CPU’s based on the job/compute needs
• Working in agile environment
Education
Bachelor’s Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field or Advanced Degree
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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