Data Engineer Salary at Us Bancorp BETA

How much does an Us Bancorp Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at Us Bancorp is $158,385, which translates to approximately $76 per hour. Salaries for Data Engineer at Us Bancorp typically range from $142,690 to $171,924, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

US Bancorp Overview

Website:
usbank.com
Size:
>50,000 Employees
Revenue:
$10B - $50B
Industry:
Financial Services

U.S. Bancorp, a financial services holding company, provides a range of financial services in the United States. It offers depository services, which include checking accounts, savings accounts, and time certificate contracts; and lending services, such as traditional credit products, as well as credit card services, leasing financing, import/export trade, asset-backed lending, agricultural finance, and other products. The company also provides ancillary services, including capital markets, treasury management, and receivable lock-box collection services to corporate customers; and a range of asset management and fiduciary services for individuals, estates, foundations, business corporations, and charitable organizations. In addition, the company offers investment and insurance products to its customers principally within its markets, as well as fund administration services to a range of mutual and other funds. Further, it provides corporate and purchasing card, and corporate trust services; and merchant processing services, as well as offers cash and investment management, ATM processing, mortgage banking, and brokerage and leasing services. The company serves individuals, businesses, institutional organizations, governmental entities, and other financial institutions. The company offers its services through a network of 3,106 banking offices primarily in the Midwest and West regions of the United States; and a network of 4,842 ATMs, as well as through on-line services and over mobile devices. U.S. Bancorp was founded in 1863 and is headquartered in Minneapolis.

See similar companies related to Us Bancorp

What Skills Does a person Need at Us Bancorp?

At Us Bancorp, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  2. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  3. Data engineering: Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale
  4. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
  5. Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Related Jobs

Improving Enterprises, Inc.
Minneapolis , MN

Sr. Data Engineer (Cloud) Description As a Data Engineer, you'll be working with the latest cloud and technology stacks to help clients implement and mature their modern data architecture. You will work with tools/platforms like Kafka, Snowflake, and Databricks to help clients get the most out of their data that may be in systems like Salesforce, SAP, SQL Server, or file storage. With a variety of projects, technologies, and clients, you will constantly be growing, and never bored. Responsibilities At least 4 years of experience as a hands-on software or data engineer At least 1-2 years building production-grade data solutions (Example: ETL/ELT, Spark, Azure Data Factory, AWS Data Migration Services, streaming systems) Demonstrated aptitude for problem-solving and creativity Ability to learn new technologies and apply learnings to production-grade solutions Experience with at least one prominent cloud provider (e.g.: AWS, Azure, GCP) Strong working knowledge of a querying language like


Sponsored
4/23/2025 12:00:00 AM
BCforward
Minneapolis , MN

Sr Data Engineer BCforward is currently seeking a highly motivated Sr Data Engineer for an opportunity in Minneapolis, MN! Position Title: Sr Data Engineer Location: Minneapolis, MN! Anticipated Start Date: 5/1/2025. Please note this is the target date and is subject to change. BCforward will send official notice ahead of a confirmed start date. Expected Duration: 12 Months Job Type: Contract, Remote Salary Range: $60/hr - $70/hr. Please note that actual compensation may vary within this range due to factors such as location, experience, and job responsibilities, and does not encompass additional non-standard compensation (e.g., benefits, paid time off, per diem, etc.). Job Description: Implement data pipelines using best practices for ETL / ELT, data management, and data governance. Analyze and process complex data sources in a fast-paced environment. Perform data modeling against large data sets for peak efficiency. Identify, design, and implement process improvement solutions that a


Sponsored
4/23/2025 12:00:00 AM
Syntricate Technologies
Minneapolis , MN

Required Skills: 7+ Year experience 4+ years of experience in AWS development Hands on experience in Pyspark and EMR Scripts Strong knowledge on SQL, PL/SQL Understanding of CICD-Jenkins, Bitbucket etc Finance industry experience is a plus


Sponsored
4/23/2025 12:00:00 AM
C. H. Robinson
Eden Prairie , MN

C.H. Robinson is seeking a Data Engineer III based out of C.H. Robinson's U.S. headquarters in Eden Prairie, MN. As Data Engineer III, you will work with engineering product managers and business stakeholders to define, estimate, design, and develop for complex data solutions. Duties include: guide the team's engineering process, setting data standards, mentoring other data engineers, and driving innovation; participate on the North America Surface Transportation Domain Analytics team to build accessible and scalable domains; integrate existing analytics solutions into a new cloud environment; make data broadly available through a service-oriented architecture; analyze and translate high-level customer requirements into detailed designs; partner with various engineering teams to create and manage long-term data and information architecture/execution roadmap; lead development of scalable data pipelines, establish data management frameworks, and maintain CI/CD pipelines; increase code qu


Sponsored
4/23/2025 12:00:00 AM
Korterra Inc
Chanhassen , MN

Job Type Full-time Description Principal Data Engineer No sponsorships available About Us: At KorTerra, we're on a mission to prevent damage and save lives through innovative technology solutions for the energy and utilities industries. Our collaborative and customer-focused environment empowers us to deliver impactful products that truly make a difference. About You: We are seeking a highly skilled and visionary Principal Data Engineer to lead the strategy, architecture, and implementation of data engineering solutions across global projects and platforms. This role will be responsible for designing and developing scalable, high-performance data systems, fostering best practices, and ensuring data quality, security, and governance. As a Principal Data Engineer, you will collaborate with cross-functional teams, including data scientists, analysts, engineers, and business leaders, to drive technical innovation and ensure the successful delivery of cutting-edge data solutions. This role


Sponsored
4/23/2025 12:00:00 AM
Syntricate Technologies
Minneapolis , MN

Required Skills: Bachelors degree, or equivalent work experience 10+ years' experience in ETL processes and tools such as Apache Spark, Java, Spring batch, J2EE 5+ years' experience in Hadoop, Hive, SQL and noSQL databases Roles & Responsibilities: Data Engineering ETL role Design, code, test, debug, document, maintain, and modify computer programs of high complexity, significance, and risk Participate in application architecture functions including estimating and defining time tables, cost and project tasks Recommend solutions to improve business with a focus on core architecture, technology strategies and standards Guide others through change impact analysis Establish, refine and integrate development and test environment tools and software as needed Review, analyze, refine and integrate development and test environment tools and software as needed Create and recommend improvements to unit, test plans and testing process based on assessment of organizational needs Collaborate closely


Sponsored
4/21/2025 12:00:00 AM
Syntricate Technologies
Minneapolis , MN

Required Skills: 5+ years of Data engineering experience with a focus on Data Warehousing 2+ years of experience creating pipelines in Azure Data Factory (ADF) 3+ years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL 5+ years of Data engineering experience with a focus on Data Warehousing 2+ years of experience creating pipelines in Azure Data Factory (ADF) 5+ years developing ETL using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools. 5+ years of experience with Relational Databases, such as Oracle, Snowflake, SQL Server, etc. 3+ years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL 2+ years of experience with GitHub, SVN, or similar source control systems 2+ years of experience processing structured and un-structured data. Experience with HL7 and FHIR standards, and processing files in these formats. 3+ years analyzing project requirements and developing detailed specifi


Sponsored
4/21/2025 12:00:00 AM
IDeaS
Minneapolis , MN

: Passionate people. Loyal clients. Leading solutions. With a rich culture of creative collaboration and professional growth, IDeaS team members build successful careers with us. IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where were working, our teams come together to create leading revenue management solutions that accelerate our clients growth through revenue optimization. Now we just need you! We are on the lookout for a highly skilled and experienced data engineer to become part of our dynamic team. In this role, you will hold a vital position by helping build a next-generation data platform with Amazon Web Services (AWS). Your responsibilities will involve defining standards for our data pipelines, including technology selection, building CI/CD processes and implementing new pipelines to move and transform data within our platform built on top of AWS, This position is Hybrid with an expectation of 3 days a week in our off


Sponsored
4/20/2025 12:00:00 AM

Check more jobs information at Us Bancorp

Job Title Average Us Bancorp Salary Hourly Rate
2 Underwriting Specialist $116,492 $56
3 Unit Program Coordinator $56,457 $27
4 United State Air Force $231,793 $111
5 Universal Banker I $188,242 $91
6 Used Car Manager $161,302 $78
7 User Experience Lead $176,353 $85
8 Utilities Analyst $67,182 $32
9 UX Architect $181,670 $87
10 UX Designer $107,603 $52
11 Validation Analyst $84,387 $41
12 Vendors Operations Specialist $88,224 $42
13 Vice President, Business Strategy $299,692 $144

Hourly Pay at Us Bancorp

The average hourly pay at Us Bancorp for a Data Engineer is $76 per hour. The location, department, and job description all have an impact on the typical compensation for Us Bancorp positions. The pay range and total remuneration for the job title are shown in the table below. Us Bancorp may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $158,385 look to you?

FAQ about Salary and Jobs at Us Bancorp

1. How much does Us Bancorp pay per hour?
The average hourly pay is $76. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Us Bancorp?
According to the data, the highest approximate salary is about $171,924 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Us Bancorp?
According to the data, the lowest estimated salary is about $142,690 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.