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# Senior Data Engineer

- **Company:** U.S. Bank, National Association
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $119,765.0 - $140,900.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Agile Methodology, Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cloud Computing, Code Review, Information Engineering, Data Structures, Data Systems, DevOps, Programming Tools, Python (Programming Language), DataOps, Software Construction, Software Engineering, SQL Databases, Data Processing, Snowflake, Apache Spark, Reliability of Systems, Pyspark, Apache Kafka, Data Pipelines, Databricks
- **Published:** July 15, 2026
- **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Irving-TX/Senior-Data-Engineer_2026-0020769

## About the Role

* Bachelor's degree, or equivalent work experience
 * Five+ years of relevant software engineering or data engineering experience

Preferred Skills & Experience

Data Engineering & Development

 * Experience building scalable data pipelines and data processing solutions
 * Strong proficiency in Python, PySpark, SQL, and software engineering best practices
 * Experience delivering production-grade applications and data products

Platforms & Cloud

 * Experience with Databricks and/or Snowflake
 * Familiarity with Kafka, Spark, CDC frameworks, or related technologies
 * Experience with Azure and/or AWS cloud environments

Engineering Practices

 * Strong understanding of Agile, DevOps, and CI/CD principles
 * Knowledge of algorithms, data structures, architectural patterns, and system design
 * Experience with monitoring, data quality, and operational support practices

Collaboration & Problem Solving

 * Ability to work effectively across product, engineering, and business teams
 * Strong analytical, troubleshooting, and problem-solving skills
 * Ability to understand business objectives and translate them into technical solutions

## Description

We're looking for a Senior Data Engineer to design, build, and support scalable data engineering solutions that power analytics, AI, and business-critical data products. This role combines strong software engineering fundamentals with modern data engineering practices and requires an individual who thrives in a collaborative, agile environment and takes ownership of delivering reliable, high-quality solutions.

What You'll Do

Design & Deliver Data Solutions

 * Design, develop, test, and maintain scalable data pipelines and applications
 * Build batch and real-time solutions supporting analytics and AI use cases
 * Deliver production-ready, high-quality code aligned to engineering standards

Drive Engineering Excellence

 * Create reliable, scalable, and performant solutions
 * Apply software engineering best practices, code reviews, testing, and automation
 * Ensure compliance, security, and operational readiness throughout the development lifecycle

Support Reliability & Continuous Improvement

 * Analyze production issues, identify root causes, and implement improvements
 * Champion DevOps, DataOps, and software reliability engineering practices
 * Help improve engineering processes, delivery velocity, and overall solution quality

Collaborate Across Teams

 * Partner with product, architecture, engineering, and business stakeholders to deliver customer-focused solutions
 * Translate requirements into technical designs and actionable development plans
 * Communicate progress, risks, and blockers proactively

Embrace Innovation

 * Leverage modern technologies, cloud platforms, and AI-enabled development tools
 * Contribute to a culture of innovation, collaboration, and continuous learning


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