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Data Modernization Jobs in Wisconsin (NOW HIRING)

US Bank

Infrastructure Data Analytics Engineer

Brookfield, WI · On-site

$108K - $130K/yr

Experience supporting enterprise-scale transformation or modernization programs. Technical Skills Programming & Analytics * SQL (Advanced) * Python * Alteryx * Power BI * Excel Data & Integration

Hitachi Automotive Systems Americas, Inc.

WI · On-site

$150 - $200/hr

Service Sales Leader, Data Centers, North AmericaSkip to main contentThis site uses cookies from ... Champion lifecycle service agreements, modernization programs, predictive maintenance, HMAX ...

Capgemini

WI · On-site

$100 - $125/hr

Experience with large-scale migrations (cloud, platform modernization)* Strong knowledge of ETL tools (Azure Data Factory, Informatica, etc.)* Deep understanding of data quality, governance, and ...

NTT DATA, Inc.

WI · On-site

$200 - $250/hr

Engage and Lead CxO-level conversations on AI-led SAP modernization and automation value across strategic SAP accounts and transformation programs * Represent NTT DATA in SAP executive forums ...

Soteria Reinsurance Ltd.

WI · On-site

$200 - $250/hr

You translate SPS Modernization, data strategy and enterprise data initiatives into clear execution plans, architectural decisions and measurable outcomes for clients, associates and internal ...

New

DTN (Data Transmission Network)

WI · On-site

$125 - $150/hr

Experience leading cloud modernization and large‑scale data transformation initiatives. * Experience mentoring engineers and providing technical leadership within distributed teams. * Strong ...

E Source

WI · On-site

$125 - $150/hr

The E Source Data Science business unit is looking for a Director, Sales Innovation with an entrepreneurial spirit who finds great satisfaction in building something from the ground up. You should ...

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All JobsData Modernization JobsData Modernization Jobs in Wisconsin

Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Data Modernization jobs in Wisconsin?

For Data Modernization jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Modernization jobs in Wisconsin look for?

The top searched job categories for Data Modernization jobs in Wisconsin are:

Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Infrastructure Data Analytics Engineer

Brookfield, WI • On-site

US Bank
Banking and Credit Intermediation • 10K+ employees
Learn more about US Bankexternal

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

67th of 176 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and executive decision making.

The ideal candidate possesses strong technical skills in SQL, Python, Alteryx, API integration, and data transformation while adhering to software development lifecycle (SDLC) practices, including source code management, testing, deployment, and release management.

Key Responsibilities

Data Acquisition & Integration

  • Design and develop data ingestion processes from multiple sources, including:

    • Infrastructure monitoring platforms

    • CMDB and asset management systems

    • Cloud platforms (Azure, AWS)

    • Enterprise databases

    • REST and GraphQL APIs

    • SaaS and third-party technology platforms

  • Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data.

  • Integrate structured and unstructured data from disparate technology systems into centralized analytics platforms.

  • Automate recurring data collection and processing activities.

Data Engineering & Transformation

  • Develop complex SQL queries, stored procedures, views, and data models.

  • Create Python-based solutions for:

    • Data extraction

    • Data transformation

    • Data quality validation

    • Automation workflows

    • API integrations

  • Design and maintain Alteryx workflows for data preparation, blending, and analytics automation.

  • Implement reusable transformation frameworks and standardized data processing patterns.

  • Perform data reconciliation and data quality assurance activities.

Analytics & Reporting

  • Analyze infrastructure and operational data to identify:

    • Trends

    • Risks

    • Performance issues

    • Capacity constraints

    • Optimization opportunities

  • Support executive reporting, operational scorecards, and KPI dashboards.

  • Translate technical findings into business-friendly recommendations and insights.

  • Partner with infrastructure, engineering, operations, and leadership teams to support data-driven decision making.

Automation & API Development

  • Develop API integrations between internal and external platforms.

  • Build automated workflows that reduce manual effort and improve data timeliness.

  • Support near real-time and batch data processing requirements.

  • Create reusable libraries and utilities that accelerate analytics delivery.

SDLC, DevOps & Release Management

  • Follow established Software Development Lifecycle (SDLC) methodologies including Agile delivery practices.

  • Maintain source code in approved repositories (GitHub, GitLab, Azure DevOps, etc.).

  • Utilize branching, pull request, peer review, and merging standards.

  • Develop and maintain CI/CD deployment pipelines.

  • Create and maintain technical documentation, runbooks, and deployment procedures.

  • Participate in release planning, change management, testing, and production deployments.

  • Ensure appropriate version control, auditability, and governance of analytics assets and code.

  • Support incident management and post-release validation activities.

Governance & Compliance

  • Ensure adherence to enterprise data governance, security, and compliance requirements.

  • Maintain data lineage and metadata documentation.

  • Implement controls for data quality, access management, and operational resiliency.

  • Support regulatory and audit requests related to analytics solutions.

Basic Qualifications

  • Bachelor's degree in a related field, or equivalent work experience

  • Five to seven years of statistical and/or data analytics experience

Preferred Qualifications

  • Experience analyzing infrastructure, cloud, or operational technology data.

  • Experience with Power BI, Tableau, or similar visualization platforms.

  • Experience with Azure, AWS, Databricks, Snowflake, or enterprise data platforms.

  • Knowledge of Infrastructure Observability and Monitoring platforms (Datadog, Splunk, Dynatrace, ServiceNow, etc.).

  • Experience with CI/CD tools and release automation.

  • Understanding of data governance, metadata management, and data quality frameworks.

  • Experience supporting enterprise-scale transformation or modernization programs.

Technical Skills

Programming & Analytics

  • SQL (Advanced)

  • Python

  • Alteryx

  • Power BI

  • Excel

Data & Integration

  • REST APIs

  • JSON / XML

  • ETL / ELT

  • Data Modeling

  • Data Quality Management

DevOps & SDLC

  • GitHub / GitLab / Azure DevOps

  • Version Control

  • CI/CD Pipelines

  • Release Management

  • Test Automation

  • Agile & Scrum Methodologies

Infrastructure Knowledge (Preferred)

  • Azure

  • AWS

  • Windows Server

  • Linux

  • Networking Fundamentals

  • CMDB / Asset Management

  • Infrastructure Monitoring Platforms

This position is not eligible for visa sponsorship

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

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • 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

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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