Software Engineer -2

US Bank

Closes in 5 days

Quick summary

Work type: On-site
Location: Irving, TX · Chicago, IL · Gresham, OR · Charlotte, NC · Hopkins, MN
Salary: $105,400–$124,000 / yr
Posted: 1 day ago
Closes: Jun 11, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k

This role $115k

$93k most similar roles pay here $221k

This role pays less than 89% of similar roles. Most pay $135,000–$199,900 — the shaded band above. At the midpoint, this role pays about $115k versus about $167k 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 44 open roles on FindRole.

Listed pay typically runs $111,605–$131,300 across 41 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Software Engineer -2

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We are seeking a Senior Data Engineer to join our dynamic data engineering team at U.S., where you will play a crucial role in building and maintaining robust data pipelines using Azure technologies such as Data Factory (ADF), Synapse, and Databricks. Your daily tasks will include designing scalable data architectures, optimizing large-scale data processing with Python, PySpark, and SQL, and integrating machine learning workflows. You will also develop Power BI dashboards to provide actionable insights from complex datasets. Ideal candidates possess hands-on experience with Azure Data Lake Storage (ADLS) for efficient data management and have a solid grasp of ETL/ELT frameworks and data warehousing concepts like star schema modeling. This role involves working on large-scale, mission-critical systems that drive business intelligence and analytics at U.S.

Skills

Python PySpark SQL Azure Data Factory (ADF) Azure Synapse Databricks Azure Data Lake Storage (ADLS) Azure Cloud Ecosystem ETL/ELT Frameworks Azure Machine Learning Power BI Data Warehousing Concepts

What you'll do

Design and manage data pipelines using Azure Data Factory (ADF), Synapse, and Databricks.
Optimize large-scale data processing with Python, PySpark, and SQL for performance enhancement.
Implement and maintain Azure Data Lake Storage for scalable data storage solutions.
Develop modern data architectures including data lakes and warehouses in the Azure ecosystem.
Create ETL/ELT frameworks adhering to best practices for efficient data pipeline development.
Integrate data engineering workflows with Azure Machine Learning models.
Build Power BI dashboards using DAX and semantic data modeling techniques.

What we're looking for

Strong proficiency in Python, PySpark, and SQL for data processing.
Experience building and managing data pipelines with Azure Data Factory (ADF), Synapse, and Databricks.
Expertise in Azure Data Lake Storage (ADLS) for scalable storage solutions.
Solid understanding of the Azure cloud ecosystem and end-to-end data platform capabilities.
Knowledge of modern data architectures, including data lakes and warehouses.
Proficiency in ETL/ELT frameworks and best practices in pipeline development.

Software Engineer II

Applied Materials

Santa Clara, CA 9 days ago $124,000–$171,000

C/C++ .Net C# Operating Systems Networking principles Algorithms Multi-threading RPC

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