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Data Processing Jobs in Chicago, IL (NOW HIRING)

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Lead design, implementation, and optimization of large-scale data processing using Scala, Spark, SQL, and modern data platforms for attribution. * Design and operate trusted data pipelines handling ...

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

Other information: • Bachelor's Degree. • 5 years of experience. • Strong background in cloud computing, software engineering and data processing. • Data management experience. • Experience ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

Prophecy Technologies

Azure Data Analyst

Chicago, IL · On-site

Support real-time and batch data processing requirements.Cloud & ArchitectureDesign scalable cloud-native data architectures.Evaluate and enhance existing data platforms and technology stacks.

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Set technical direction for large-scale data processing solutions using Scala, Spark, SQL, and modern data platforms across the attribution ecosystem. * Architect and operate trusted pipelines ...

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Set technical direction for large-scale data processing solutions using Scala, Spark, SQL, and modern data platforms across the attribution ecosystem. * Architect and operate trusted pipelines ...

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Skilled in data processing using Databricks or Jupyter Notebooks. * SQL : Proficient in complex data manipulation and retrieval. * AWS (S3) : Experience consuming and managing data in cloud storage.

IMC

Data Engineer

Chicago, IL · On-site

$118K - $141K/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 ...

Compunnel

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The ideal candidate will have strong experience building scalable data pipelines, processing large datasets, and supporting AI/LLM integrations. This role requires an independent contributor who can ...

Alpha Consulting Corp.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... and DevOps processes • Ensure system scalability, reliability, and security compliance ... Pandas, NumPy for data processing • Must have previous client experience working for this ...

IMC Trading

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Responsibilities : • Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.) • Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

Gotion, Inc.

Data Analyst

Manteno, IL

This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to ...

NEWMARK

Staff Data Engineer

Chicago, IL · On-site

Expert-level SQL and strong proficiency in Python (Scala or Java a plus) for large-scale data processing and transformation. * Deep experience with cloud data platforms (e.g., Databricks, Snowflake ...

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All JobsData Processing JobsData Processing Jobs in Chicago, IL

Data Processing information

See Chicago, IL salary details

$12

$20

$35

How much do data processing jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data processing in Chicago, IL is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.03 per hour, depending on experience, location, and employer.

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 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 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 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 do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.
What are the most commonly searched types of Data Processing jobs in Chicago, IL? The most popular types of Data Processing jobs in Chicago, IL are:
What are popular job titles related to Data Processing jobs in Chicago, IL? For Data Processing jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Chicago, IL look for? The top searched job categories for Data Processing jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Processing jobs? Cities near Chicago, IL with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $43,424 per year, or $20.9 per hour.

Lead Data Engineer

Eliassen Group

Chicago, IL • On-site

$75 - $85/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago

Job description

Description:

Hybrid At least 2 days per week in office in Chicago, IL

Our client seeks a Lead Data Engineer to design, build, and optimize large-scale data processing for attribution, measurement, forecasting, and privacy-preserving analytics. The role requires leadership of a major workstream, strong Scala, Spark, SQL, and Python skills, and cloud data platform expertise. The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering to deliver secure, scalable, and compliant data solutions.

For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75.00 to $85.00/hr. w2

Responsibilities:
  • Lead design, implementation, and optimization of large-scale data processing using Scala, Spark, SQL, and modern data platforms for attribution.
  • Design and operate trusted data pipelines handling advertiser, customer, and measurement datasets across AWS, GCP, Azure, and approved ecosystems.
  • Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving attribution, measurement, forecasting, and analytics.
  • Own scalable batch and streaming workflows using orchestration frameworks and cloud-native services.
  • Implement data classification, access controls, and privacy-preserving techniques aligned with security and compliance requirements.
  • Drive clean-room and trusted data-sharing environments, exposing only aggregated or privacy-protected outputs.
  • Build observability, monitoring, alerting, and operational tooling for reliability, performance, and compliance.
  • Troubleshoot complex platform, performance, and pipeline issues across distributed systems.
  • Influence technical design, architecture, and best practices in partnership with senior engineering leadership.
  • Mentor engineers, lead design and code reviews, and provide technical leadership.
  • Ensure all sensitive processing occurs within controlled, auditable boundaries with no unintended egress of PII or proprietary signals.
  • Define data handling standards and document trust boundaries, data contracts, lineage, and permitted movement between zones.
  • Apply privacy-preserving computation, including aggregation-before-export, pseudonymization, tokenization, differential privacy concepts, and privacy-aware reporting.
  • Implement encryption, key management, and secure handling using cloud-native security and governance services.
  • Support audits, compliance, governance reviews, and secure data-sharing initiatives.
Experience Requirements:
  • 8+ years in Data Engineering with strong Scala and extensive Apache Spark on AWS and/or GCP.
  • Strong Python for pipelines, tooling, automation, and infrastructure modules.
  • Advanced SQL across relational, cloud warehouses, and lakehouse platforms handling TB-scale datasets.
  • Design, build, and maintenance of batch and streaming pipelines.
  • Data warehousing, dimensional modeling, data quality, partitioning, and performance optimization.
  • Distributed data processing and lakehouse architectures such as Databricks, Delta Lake, or Apache Spark.
  • Operating distributed data platforms at scale with orchestration tools like Airflow, Databricks Workflows, or AWS Step Functions.
  • Git-based workflows and automated testing frameworks.
  • Cloud-native development on AWS and/or GCP with CI/CD, code reviews, observability, and production support.
  • Proven technical leadership, mentorship, and delivery within tight timelines.
  • Trusted environment execution: clean rooms or secure data-sharing platforms, handling PII and regulated data, fine-grained access controls, governance policies, and policy enforcement.
  • Familiarity with tokenization, pseudonymization, aggregation-before-export, and differential privacy concepts.
  • Experience with measurement, attribution, audience analytics, or privacy-preserving reporting solutions.
  • Data lineage and governance tooling such as Unity Catalog, AWS Glue Data Catalog, Apache Atlas, or OpenLineage.
  • Understanding of trust boundaries, secure data-sharing patterns, and zero-trust data architecture.
  • Experience documenting data contracts, flows, lineage, and permitted data movement between zones and domains.
  • Encryption, key management, and secure handling of sensitive data with cloud-native security services.
  • Design of observability and alerting to detect anomalous movement, policy violations, and potential leakage.
  • Experience in environments where only aggregated, anonymized, tokenized, or privacy-protected outputs may leave trusted boundaries.
  • Strong written and verbal English communication and experience in Agile/SCRUM.
  • Good to have: Databricks, AWS Clean Rooms or PETs, advertising and retail media platforms, collaboration with Security/Privacy/Risk/Compliance, ELK/Grafana/OpenTelemetry, Docker/Kubernetes, and secure design reviews.
Recruitment Transparency Notice
 
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.
 

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com.

 
About Eliassen Group:
 
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
 
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
 
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
 
Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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