U.S. Bank is seeking a highly skilled Senior Cloud Data Engineer to join their Data Product Engineering team. The ideal candidate will design, build, and operate enterprise-grade data products across a multi-cloud ecosystem, including Azure, AWS, Databricks, and Snowflake.
Requirements
- Design, build, and maintain cloud-native data pipelines and data products across Azure and AWS using Databricks and Snowflake.
- Lead and contribute to the modernization and migration of on-prem and legacy data platforms to cloud-based solutions.
- Implement batch and streaming data processing patterns using Spark and cloud-native services.
- Partner with data governance, security, and risk teams to ensure data products comply with enterprise governance, data privacy, and regulatory requirements.
- Enable secure data sharing and access patterns across domains and platforms using appropriate controls.
- Define and promote data engineering best practices, including CI/CD, testing, observability, performance tuning, and cost optimization.
- Collaborate with product owners and analytics teams to translate business requirements into well-modeled, high-quality datasets.
- Work closely with cloud and security architects to implement secure, scalable, and resilient data solutions.
- Support and mentor junior engineers through design reviews, code reviews, and technical guidance.
Benefits
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals