Senior Data Engineer (Databricks/Snowflake)

About the role

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.

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

Requirements

• 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

Location

This role requires working from a U.S. Bank location three (3) or more days per week.

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 (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Pay

$119,765.00 - $140,900.00