Data Engineer - Clinical Analytics (ML Ops Experience)

Full-time - Entry Level

Wellesley, MA

About the position

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.

Responsibilities

• Work with Data Scientists, Engineers, Product Owners in developing high performance data and machine learning products.
• Ensure requisite levels of quality by maintaining production systems, testing data quality, tuning pipelines for performance, creating monitoring routines and participating in code reviews.
• Own solutions end-to-end, ensuring innovation and security is baked into every component.
• Perform duties in an agile environment delivering products at regular intervals.
• Write efficient data processing routines in Python and SQL.
• Leverage modern cloud services and tools to create unique solutions affecting millions of people.
• Relentlessly automate everything within your domain.

Requirements

• 1+ years of experience with relational, document and key-value databases
• 1+ years of experience with Python (or a comparable scripting language)
• 1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
• 1+ years of experience with ETL/ELT, and building high-volume data pipelines
• 1+ years of experience with reporting/analytic tools
• 1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
• 1+ years of experience with big data and cloud architecture
• 1+ years of experience leveraging MLOPS in support of analytical products

Nice-to-haves

• Experience with complex systems and solving challenging analytical problems
• Strong collaboration and communication skills within and across teams
• Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
• Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
• Experience with bash shell scripts, UNIX utilities & UNIX Commands
• Understanding of software development methodologies including waterfall and agile
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
• Experience with schema design and dimensional data modeling
• Knowledge of microservices, SOA and API development
• Previous healthcare experience and domain knowledge is a huge plus
• Google Professional Data Engineer Certification or other cloud-based certification

Benefits

• Full range of medical, dental, and vision benefits
• 401(k) retirement savings plan
• Employee Stock Purchase Plan
• Fully-paid term life insurance plan
• Short-term and long term disability benefits
• Numerous well-being programs
• Education assistance
• Free development courses
• CVS store discount
• Paid Time Off (PTO) or vacation pay
• Paid holidays throughout the calendar year