Principal Data Engineer at Genworth leading build teams and mentoring engineers in data engineering practices. Overseeing data architecture and engineering processes for the Life, Annuity, and Long - Term Care Data Solutions team.
About the role
- Associate Data Engineer supporting enterprise data initiatives for big data projects at CVS Health. Ensuring the quality, reliability, and security of data solutions on Snowflake and Google Cloud Platform.
Responsibilities
- Support enterprise data initiatives for bigdata projects at CVS Health by ensuring the quality, reliability, security, and maintainability of cloud-based data solutions built on Snowflake and Google Cloud Platform (BigQuery)
- Combine functional testing, stakeholder support, application monitoring, and hands-on software modification to deliver stable and high-quality data products
- Collaborate closely with data engineers, product teams, and business stakeholders to validate data changes, offer end-to-end (E2E) support for use cases, and implement code modifications
- Monitor application security findings using Snyk, identify potential vulnerabilities, and coordinate with responsible teams for remediation
- Perform functional testing and data validation for CRDW projects involving Snowflake and GCP/BigQuery
- Coordinate with cross-functional teams to obtain and review requirements for newly created or modified tables and datasets
- Develop and execute test plans to confirm data changes meet project expectations
- Validate data flows and transformations across cloud environments to ensure reliable ingestion and downstream availability
Requirements
- Experience in data engineering, including ETL pipeline development, data cleansing, and database migration within cloud-based environments
- Hands-on experience with cloud data platforms, including Snowflake, AWS, and Google Cloud Platform (BigQuery)
- Proficiency in SQL with experience working with enterprise data warehouses such as Snowflake, BigQuery, and Teradata
- Experience with ETL and orchestration tools, including Control-M, and related cloud services
- Strong background in software and data testing, including test planning, validation, defect tracking, and troubleshooting using tools such as JIRA and Confluence - 3 years
- Experience with data quality validation and application security monitoring, including familiarity with tools such as Snyk
- Programming experience using Python and/or R for data analysis, validation, automation, or scripting
- Experience supporting analytics and business intelligence use cases using tools such as Power BI, Tableau, and Excel
- Knowledge of Retail Pharmacy systems and pharmacy-related data domains, including patient, prescriber, prescriptions, and downstream analytics
- Prior experience working with CVS Pharmacy Retail Big Data Warehouses, including CRDW and RxDW
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
- Paid time off
- Flexible work schedules
- Family leave
- Dependent care resources
- Colleague assistance programs
- Tuition assistance
- Retiree medical access
- Many other benefits depending on eligibility
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