Senior Data Engineer, AI & Analytics Infrastructure
IBM
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 64% of similar roles. Most pay $130,000–$208,891 — the shaded band above. At the midpoint, this role pays about $145k versus about $169k for comparable roles.
Based on 240 similar postings.
Employer
U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services
US Bank currently has 52 open roles on FindRole.
Listed pay typically runs $119,765–$140,900 across 52 roles with salary data.
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At a glance
Join our Data Product Engineering team as a Senior Cloud Data Engineer and play a pivotal role in transforming legacy data platforms into cloud-native solutions across Azure, AWS, Databricks, and Snowflake. You will design and build scalable, reliable, and compliant data products while collaborating with product managers, analytics teams, and security partners to ensure enterprise-wide scalability and reuse. Key responsibilities include leading modernization efforts, implementing batch and streaming data processing patterns using Spark, and defining best practices for CI/CD, testing, observability, and cost optimization. Ideal candidates have deep experience in cloud data platforms, distributed data processing, and secure data integration, along with expertise in Azure Data Platform services, AWS data services, Databricks, Snowflake, and Apache Spark. This role is crucial in addressing the unique challenges of financial services governance and control requirements.
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What you'll do
What we're looking for
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