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Data Processing Jobs in Aurora, IL (NOW HIRING)

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) * Collaborate with development teams on data modeling, data ingestion, and capacity planning * Work with users to ...

Zoro

Sr. Software Engineer, Data Products

Chicago, IL · On-site

$118K - $141K/yr

You will build APIs, backend services, shared libraries, operational data stores, and data-processing systems that power internal and customer-facing capabilities. This is not a traditional ELT/ETL ...

1872 Consulting

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Solve and help other team members complex data issues around data integration of structured and unstructured sets other data processing incidents.Requirements:6+ years of experience with Data ...

1872 Consulting

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Solve and help other team members complex data issues around data integration of structured and unstructured sets other data processing incidents.Requirements:6+ years of experience with Data ...

Delviom LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Data Processing and Data Integration. * Strong hands-on coding experience in Python, PySpark, and SparkSQL, with solid software engineering practices including testing, version control and code ...

Scadea

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Familiarity with Azure data and analytics services, supporting end-to-end data processing, storage, and integration workflows. * AI Enablement: * Exposure to AI-enabled solutions, incorporating ...

Meijer, Inc.

Curbside Clerk

Homer Glen, IL · On-site

$15.25 - $16.98/hr

Process-driven with the ability to follow procedures in an efficient, consistent way * Past online ordering experience a plus * You have the ability to perform physical tasks, such as lifting ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Harrison Street

Data Engineer

Chicago, IL

$118K - $141K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

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All JobsData Processing JobsData Processing Jobs in Aurora, IL

Data Processing information

See Aurora, IL salary details

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How much do data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing in Aurora, IL is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.16 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Aurora, IL?

The most popular types of Data Processing jobs in Aurora, IL are:

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

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

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

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

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

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

Data Processing jobs near you
Infographic showing various Data Processing job openings in Aurora, IL as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $41,792 per year, or $20.1 per hour.

Lead Cloud Data Engineer - Multi-Cloud Data Platforms

US Bank

Chicago, IL • On-site

$57.50 - $76.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 362 frontline employees who took The Breakroom Quiz

50th of 171 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

We are seeking a highly skilled Senior Cloud Data Engineer to join our Data Product Engineering team. This role is hands-on and delivery-focused, responsible for designing, building, and operating enterprise-grade data products across a multicloud ecosystem, including Azure, AWS, Databricks, and Snowflake. The ideal candidate brings deep experience in modern cloud data platforms, distributed data processing, and secure data integration. You will collaborate closely with product managers, analytics teams, data governance, and security partners to ensure data products are scalable, reliable, compliant, and reusable across the enterprise. This role plays a key part in evolving our data platforms from legacy and firstgeneration architectures to cloudnative, domain-oriented data products while adhering to financial services governance and control requirements.

Key Responsibilities

  • Design, build, and maintain cloud-native data pipelines and data products across Azure and AWS using Databricks and Snowflake.
  • Lead and contribute to the modernization and migration of onprem and legacy data platforms to cloud-based solutions.
  • Implement batch and streaming data processing patterns using Spark and cloud-native services.
  • Partner with data governance, security, and risk teams to ensure data products comply with enterprise governance, data privacy, and regulatory requirements.
  • Enable secure data sharing and access patterns across domains and platforms using appropriate controls.
  • Define and promote data engineering best practices, including CI/CD, testing, observability, performance tuning, and cost optimization.
  • Collaborate with product owners and analytics teams to translate business requirements into well-modeled, high-quality datasets.
  • Work closely with cloud and security architects to implement secure, scalable, and resilient data solutions.
  • Support and mentor junior engineers through design reviews, code reviews, and technical guidance.

Basic Qualifications

  • Bachelor's degree, or equivalent work experience
  • Six to eight years of relevant experience

Skills Should Include

  • Experience with data architecture and platform design in large enterprises.
  • Knowledge of data sharing, data mesh, or domain-driven data architecture concepts.
  • Strong problem-solving skills and a track record of delivering scalable, efficient data solutions.

Cloud & Data Platforms

  • Strong hands-on experience with Azure Data Platform services, including: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics (or Fabric equivalent experience)
  • Experience with AWS data services, such as AWS Glue, S3, and event-driven integrations.
  • Deep experience with Databricks (Spark, Delta Lake, performance tuning).
  • Strong working knowledge of Snowflake, including data modeling, ingestion patterns (e.g., Snowpipe), and data sharing.

Data Engineering & Processing

  • Expertise in Apache Spark for large-scale data processing.
  • Experience building batch and near-real-time data pipelines.
  • Strong SQL skills and experience with dimensional and analytical data modeling.
  • Experience designing reusable, domain-oriented data products.

Integration & Messaging

  • Experience with API-based integrations (REST; familiarity with SOAP and GraphQL is a plus).
  • Hands-on experience integrating with API gateways.
  • Understanding of messaging and streaming platforms such as Kafka, MQ, AWS SQS, or RabbitMQ.

Security & Governance

  • Strong understanding of IAM, RBAC, OAuth 2.0, TLS/mTLS, and JWT.
  • Experience implementing secure data access patterns in cloud environments.
  • Familiarity with data cataloging, lineage, and metadata management concepts.

Analytics Enablement

  • Experience enabling self-service analytics and BI using tools such as Power BI, Tableau, or equivalent.

Preferred Qualifications

  • Support AI initiatives through the data platform and data products.
  • Prior experience in financial services or other highly regulated industries.
  • Professional certifications in Microsoft Azure and/or AWS.
  • Master's degree in a relevant technical field.

***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: $133,365.00 - $156,900.00

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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Benefits

Hours and flexibility

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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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