Associate Cloud Data Engineer
CVS Health is the nation’s leading health solutions company, dedicated to transforming health care through innovative technology. The Associate Cloud Data Engineer will design, develop, and maintain data pipelines on Google Cloud Platform, ensuring data quality and enabling data-driven business decisions across various CVS lines of business.
Responsibilities
- Develop, deploy, and maintain robust data pipelines on Google Cloud Platform (GCP), leveraging services like BigQuery and Composer (Apache Airflow)
- Translate existing legacy programs and data processes into efficient, scalable Python-based solutions for migration to GCP
- Collaborate with cross-functional teams to understand data requirements, troubleshoot issues, and ensure seamless data flow and service delivery
- Focus on data quality, integrity, and reliability throughout the data lifecycle, implementing best practices for monitoring and validation
Skills
- Experience with SQL/NoSQL
- Experience with Python (or a comparable scripting language)
- Experience with data warehouses (such as data modeling and technical architectures) and infrastructure components
- Experience with ETL/ELT, and building high-volume data pipelines
- Experience with reporting/analytic tools
- Experience with query optimization, data structures, transformation, metadata, dependency, and workload management
- Experience with big data and cloud architecture
- Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Engineering, Data Science, Machine Learning, or related field required
- Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
- Experience in Python or a comparable scripting language and shell scripting
- Experience in creating SQL based processes
- Experience with Jenkins, Git, CI/CD pipeline, and other DevOps principles/best practices
- Understanding of software development methodologies including waterfall and agile
- Strong collaboration and communication skills within and across teams
- Google Professional Data Engineer Certification
Benefits
- Affordable medical plan options
- 401(k) plan (including matching company contributions)
- 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
Company Overview
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