Senior Data Engineer: Databricks & Snowflake AI Pipelines

Us Bank; Irving (TX); Hybrid; USD 120,000 - 141,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement

Paid vacation

Sick and Safe Leave

Adoption assistance

Job summary

U.S. Bank is seeking a Senior Data Engineer to design, build, and support scalable data pipelines powering analytics, AI, and data products. The role blends software engineering with modern data practices in an agile environment, emphasizing reliability and security.

You will work across teams to translate requirements into technical designs, deliver production-grade solutions, and champion DevOps/DataOps while advancing data quality and operational readiness.

Qualifications

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

Responsibilities

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

Skills

Python

PySpark

SQL

Software engineering practices

Data engineering

Cloud platforms

Education

Bachelor's degree or equivalent

Tools

Databricks

Snowflake

Kafka

Spark

CDC frameworks

Azure

AWS

Job description

U.S. Bank is seeking a Senior Data Engineer to design, build, and support scalable data pipelines powering analytics, AI, and data products. The role blends software engineering with modern data practices in an agile environment, emphasizing reliability and security.

You will work across teams to translate requirements into technical designs, deliver production-grade solutions, and champion DevOps/DataOps while advancing data quality and operational readiness.