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Data Processing Services Jobs in Chicago, IL (NOW HIRING)

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

... services. * Implement data classification, access controls, and privacy-preserving processing techniques to meet security and compliance requirements. * Establish architectural direction for clean ...

ADDSOURCE

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

Build scalable AI/ML and GenAI deployment architectures using AWS services. * Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data.

New

West Monroe

Director, Data Engineering & AI

Chicago, IL · On-site

Understand and support the underlying business processes and technologies being used within an ... services * Requisite depth in one or more key data platform technologies - Databricks, Google Cloud ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... services (AWS/Azure) for data processing, storage, and event-driven architectures Operations & SupportMonitor, troubleshoot, and optimize data pipelines and Spark workloads for performance and ...

NEWMARK

Staff Data Engineer

Chicago, IL · On-site

Design and deliver backend data services and APIs (REST/GraphQL), and contribute across the stack ... Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka ...

NEWMARK

Staff Data Engineer

Chicago, IL · On-site

Design and deliver backend data services and APIs (REST/GraphQL), and contribute across the stack ... Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka ...

Pwc

Data Engineer - Manager

Chicago, IL · On-site

... data processing and analysis. You will be responsible for developing and implementing data ... services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB ...

Pwc

Data Engineer - Manager

Rosemont, IL

... data processing and analysis. You will be responsible for developing and implementing data ... services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB ...

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern ... Implement encryption, key management, and secure handling with cloud-native security services.

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern ... Implement encryption, key management, and secure handling with cloud-native security services.

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience with GCP services (Vertex AI, Dataflow, BigQuery, Cloud Run, Pub/Sub); comfort with distributed computing frameworks (Apache Spark, Dataproc) for large-scale data processing. * Solid ...

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All JobsData Processing Services JobsData Processing Services Jobs in Chicago, IL

Data Processing Services information

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How much do data processing services jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data processing services 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 is the difference between Data Processing Services vs Data Analysts?

AspectData Processing ServicesData Analysts
Primary RoleHandling data entry, cleaning, and preparation for analysisInterpreting data, generating insights, and creating reports
Required SkillsData management, basic software proficiency, attention to detailStatistical analysis, data visualization, critical thinking
Work EnvironmentData centers, offices, remote data teamsOffices, research teams, business units
CertificationsData management certifications, basic IT skillsData analysis certifications, statistical tools proficiency

Data Processing Services focus on preparing and managing raw data, while Data Analysts interpret this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are career opportunities in data processing services?

Careers in data processing services include roles such as data analyst, data entry clerk, database administrator, and data processing technician. These positions often require skills in data management, familiarity with software tools like Excel or SQL, and attention to detail. Opportunities exist across industries such as finance, healthcare, and technology, with some roles requiring certifications or training in data management systems.

What does a data processing services job do?

A data processing services job involves collecting, organizing, and analyzing data to ensure accuracy and usability. It often requires skills in data entry, database management, and familiarity with tools like Excel or specialized software, with attention to detail and data security being important aspects.

What is a data processing service?

A data processing service involves collecting, organizing, and converting raw data into meaningful information for analysis or decision-making. Data processing professionals often use tools like databases, spreadsheets, and programming languages to perform tasks such as data entry, validation, and transformation, ensuring data accuracy and integrity.

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

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

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

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

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

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

Data Processing Services jobs near you
Infographic showing various Data Processing Services job openings in Chicago, IL as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $43,424 per year, or $20.9 per hour.

Sr. Big Data Engineer

Eliassen Group

Chicago, IL • On-site

$84 - $94/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Job description

Description:Hybrid at least 2 days per week in office in Chicago, IL
Our client seeks a Staff Data Engineer to set technical direction for large-scale data processing in a privacy-preserving attribution platform. The role will architect and operate secure pipelines across cloud environments, collaborate with cross-functional teams, implement governance and access controls, and drive architecture for batch and streaming workflows. The engineer will build observability and operational tooling, troubleshoot distributed systems, mentor senior engineers, and evolve attribution, measurement, forecasting, and analytics capabilities with strong security and compliance alignment.
We can facilitate w2 and corp-to-corp consultants. 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: $84.00 to $94.00/hr. w2
Responsibilities:
  • 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 handling advertiser, customer, and measurement datasets within secure cloud environments and approved data-sharing ecosystems.
  • Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving attribution, measurement, forecasting, and analytics solutions.
  • Define architecture for batch and streaming workflows, including orchestration frameworks and cloud-native services.
  • Implement data classification, access controls, and privacy-preserving processing techniques to meet security and compliance requirements.
  • Establish architectural direction for clean-room and trusted data-sharing environments with approved aggregated or privacy-protected outputs.
  • Build observability, monitoring, and operational tooling to ensure reliability, performance, and compliance.
  • Troubleshoot complex platform, performance, and pipeline issues across distributed systems.
  • Drive architecture decisions, engineering best practices, and operational excellence across attribution and adjacent data products.
  • Mentor and grow senior and lead engineers and provide technical leadership across teams and product areas.
  • Design and implement pipelines within trusted environments across AWS, Google Cloud Platform, Azure, and on-premises infrastructure.
  • Implement access controls, data classification policies, lineage tracking, and governance controls for sensitive data.
  • Define and maintain data handling standards with Security, Privacy, and Compliance stakeholders.
  • Enforce privacy-preserving principles to ensure only aggregated, anonymized, tokenized, or otherwise approved outputs leave trusted environments.
  • Build monitoring and alerting to detect anomalous movement, policy violations, and potential leakage.
  • Apply privacy-preserving computation techniques, including aggregation-before-export, pseudonymization and tokenization, differential privacy concepts, and privacy-aware reporting.
  • Implement encryption, key management, and secure data handling using cloud-native services.
  • Document trust boundaries, data contracts, lineage, and permitted data movement between zones.
  • Support audits, compliance requirements, governance reviews, and secure data-sharing initiatives.
  • Participate in architecture and design reviews for new data products to incorporate governance, privacy, lineage, and trust-boundary requirements.
  • Contribute to engineering standards and best practices for secure data processing and privacy-preserving analytics.

Experience Requirements:
  • 10+ years of data engineering with deep Scala and extensive Apache Spark for large-scale processing on AWS and/or Google Cloud Platform.
  • Strong Python for pipelines, tooling, automation, and infrastructure modules.
  • Advanced SQL across relational, cloud warehouses, and lakehouse platforms with TB-scale datasets.
  • Designing, building, and maintaining batch and streaming pipelines.
  • Strong understanding of warehousing, dimensional modeling, data quality, partitioning, and performance optimization.
  • Experience with lakehouse architectures such as Databricks, Delta Lake, or equivalent.
  • Operating distributed data platforms at scale.
  • Workflow orchestration with Airflow, Databricks Workflows, AWS Step Functions, or equivalent.
  • Source control and testing practices including unit, integration, and automation.
  • Cloud-native development on AWS and/or Google Cloud Platform.
  • Strong engineering practices including CI/CD, code reviews, observability, and production support.
  • Proven ability to set technical direction across teams and mentor senior engineers.
  • Trusted environment execution: clean rooms and secure data-sharing platforms, handling PII and regulated data, fine-grained access controls, and policy-based enforcement.
  • Working knowledge of data classification frameworks including PII, PCI, regulated data, and sensitivity-tier models.
  • Familiarity with tokenization, pseudonymization, aggregation-before-export, and differential privacy concepts.
  • Experience with clean-room, measurement, attribution, audience analytics, partner data-sharing, or privacy-preserving reporting.
  • Lineage and governance tooling such as Unity Catalog, AWS Glue Data Catalog, Apache Atlas, or OpenLineage.
  • Understanding of trust boundaries, secure sharing patterns, and zero-trust data architecture principles.
  • Documenting data contracts, flows, lineage, and permitted movement between security zones and domains.
  • Encryption, key management, and secure handling using cloud-native security services.
  • Designing observability and alerting controls to detect anomalous movement, policy violations, and potential leakage.
  • Experience in environments where only aggregated, anonymized, tokenized, or privacy-protected outputs may exit trusted processing environments.
  • Strong understanding of cloud-native security and governance.
  • Good to have: Databricks ecosystem, AWS Clean Rooms, advertising measurement and attribution platforms, collaboration with Security and Compliance in regulated settings, ELK, Grafana, OpenTelemetry, Docker, Kubernetes, and security architecture or threat modeling.
  • Strong written and verbal English communication skills.
  • Good understanding of Agile and SCRUM within cross-functional teams.

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 (, ) 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 .
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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