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Data Processing Manager Jobs in Palatine, IL (NOW HIRING)

Infrastructure Data Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design and develop data ingestion processes from multiple sources, including: * Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure, AWS) * Enterprise ...

Data Engineering Manager

Chicago, IL · On-site

$165 - $185/hr

The Data Engineering Manager will lead a scrum team of data engineers in the design, development ... Own and facilitate the code review process, ensuring all production code meets quality, performance ...

Data Engineer III

Chicago, IL · On-site

$138 - $173/hr

Real‑Time Data Processing Build scalable solutions using technologies such as Kafka, Spark ... Engineering Delivery Independently manage and deliver complex engineering work items with minimal ...

Data Support Engineer

Chicago, IL · On-site

$80 - $110/hr

Experience with Git/Azure DevOps for code management. * Problem-Solving: Strong analytical skills, with the ability to diagnose complex data processing bottlenecks. Nice-to-Have Skills * Data ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... manage workflows using orchestration tools (e.g., Airflow, Control-M) Automate data pipelines, deployments, and operational processes through CI/CD pipelines Leverage cloud-native services (AWS/Azure ...

Architect and lead enterprise Master Data Management (MDM), including golden records, entity ... Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka ...

Manager, Data Operations

Chicago, IL · On-site

$88K - $127K/yr

Promoting a culture of process documentation. Providing guidance on process improvements and best practices for data management. Coaching junior team members. Assisting project managers and key ...

Promoting a culture of process documentation. Providing guidance on process improvements and best practices for data management. Coaching junior team members. Assisting project managers and key ...

Data Engineer III

Chicago, IL · On-site

$138K/yr

Real-Time Data Processing * Build scalable solutions using technologies such as Kafka, Spark ... Independently manage and deliver complex engineering work items with minimal supervision.

Data Engineer III

Chicago, IL · On-site

$138K/yr

Real-Time Data Processing * Build scalable solutions using technologies such as Kafka, Spark ... Independently manage and deliver complex engineering work items with minimal supervision.

Data Engineer III

Chicago, IL · On-site

$138K - $172K/yr

Real-Time Data Processing Build scalable solutions using technologies such as Kafka, Spark ... Engineering Delivery Independently manage and deliver complex engineering work items with minimal ...

Healthcare Data Developer

Chicago, IL · On-site

$90K - $120K/yr

Develop SQL queries and Python scripts for data processing, transformation, validation, and ... Experience with professional and institutional claims management * Experience with healthcare payer ...

Senior Data Engineer Con II

Chicago, IL · On-site

$109K - $148K/yr

Build and manage data processing workloads within modern lakehouse platforms, including Microsoft Fabric / OneLake (preferred). * Ensure data quality, reliability, and consistency by implementing ...

In this role, you will be responsible for tracking, auditing, and processing complex transaction ... Compliance & Governance: Ensure all billing practices and data handling conform to PCI-DSS ...

Experience with data processing and management, including Relational Database Management Systems (RDBMS) such as Postgres or MySQL. * Experience with machine learning frameworks like TensorFlow and ...

Showing results 41-60

Data Processing Manager information

See Palatine, IL salary details

$34.7K

$52.8K

$68.8K

How much do data processing manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data processing manager in Palatine, IL is $52,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $62,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing manager?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, technical skills, and understanding of data security are essential for this role.

What are popular job titles related to Data Processing Manager jobs in Palatine, IL?

For Data Processing Manager jobs in Palatine, IL, the most frequently searched job titles are:

What job categories do people searching Data Processing Manager jobs in Palatine, IL look for?

The top searched job categories for Data Processing Manager jobs in Palatine, IL are:

What cities near Palatine, IL are hiring for Data Processing Manager jobs?

Cities near Palatine, IL with the most Data Processing Manager job openings:

Infographic showing various Data Processing Manager job openings in Palatine, IL as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $52,766 per year, or $25.4 per hour.

Infrastructure Data Analytics Engineer

US Bank

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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 175 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

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