Senior Data Engineer

US Bank

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Hopkins, MNIrving, TX
Salary: $119,765–$140,900 / yr
Posted: 8 days ago
Freshness: Confirmed live 2 days ago
Closes: Sep 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k

This role $130k

$109k most similar roles pay here $222k

This role pays less than 79% of similar roles. Most pay $141,887–$211,200 — the shaded band above. At the midpoint, this role pays about $130k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

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 30 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 29 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer joins the team to manage the analysis, design, testing, development, and maintenance of high-performance software experiences within the MIR Data Platform. This role involves building and evolving metadata-driven schemas for transaction workflows, implementing event-driven processing using SQL Service Broker, and supporting reporting and audit use cases. The candidate will focus on creating scalable relational data solutions, optimizing indexes and access patterns, and utilizing Memory-Optimized Tables to improve throughput. Key technical requirements include extensive experience with Microsoft SQL Server (2019/2022), .NET, and C# for data persistence. Additionally, the role involves driving cloud-readiness initiatives involving Amazon RDS and Azure SQL Database. The position addresses complex data issues such as performance bottlenecks and deadlocks while ensuring high availability and reliability within a high-volume, workflow-driven environment to support critical financial data infrastructure.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

Skills

Microsoft SQL Server SQL C# .NET AWS RDS Azure SQL Database SQL Service Broker In‑Memory OLTP Data Engineering

What you'll do

Design and maintain logical and physical data structures within the MIR Data Layer.
Build metadata-driven schemas to support transaction workflows, event-based data, and audit requirements.
Implement high-performance relational data solutions using optimized schemas, indexes, and In-Memory OLTP tables.
Develop and manage event-driven processing using SQL Service Broker for asynchronous tasks and status tracking.
Create data structures that enable enterprise reporting and analytics without impacting transactional workloads.
Execute cloud migration activities to transition the MIR Data Layer to Amazon RDS or Azure SQL.
Resolve complex production issues including performance degradation, deadlocks, and resource contention.
Collaborate with DBAs and SRE teams to improve monitoring, alerting, and high availability protocols.

What we're looking for

Bachelor's degree or equivalent work experience.
5+ years of relevant experience in data engineering or software development.
Strong hands-on experience with Microsoft SQL Server in enterprise, high-volume environments.
Proven ability to design and implement complex, high-performance relational data structures and metadata-driven schemas.
Practical experience with SQL Service Broker for asynchronous processing and troubleshooting.
Working knowledge of Memory-Optimized Tables (In-Memory OLTP) and performance considerations.
Medium-level experience with .NET/C# for data access, persistence patterns, and debugging.
Exposure to cloud-managed SQL platforms such as AWS RDS or Azure SQL.

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