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Data Ops Engineer Jobs in Illinois (NOW HIRING)

Data & AI Platform Engineer

Chicago, IL

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count). * Minimum 1 year of representative accounting experience ...

914 - Data Center Technician L2

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provides feedback to DCO Engineering on the effectiveness of existing standards and processes ... Works with the CF Ops Lead Technician to track and complete an aggressive preventive and predictive ...

914 - Data Center Technician L2

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provides feedback to DCO Engineering on the effectiveness of existing standards and processes ... Works with the CF Ops Lead Technician to track and complete an aggressive preventive and predictive ...

5167 - Data Center Technician L1

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provides feedback to DCO Engineering on the effectiveness of existing standards and processes ... Works with the CF Ops Lead Technician to track and complete an aggressive preventive and predictive ...

1143 - Data Center Technician L1

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provides feedback to DCO Engineering on the effectiveness of existing standards and processes ... Works with the CF Ops Lead Technician to track and complete an aggressive preventive and predictive ...

1143 - Data Center Technician L1

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provides feedback to DCO Engineering on the effectiveness of existing standards and processes ... Works with the CF Ops Lead Technician to track and complete an aggressive preventive and predictive ...

Senior Data Engineer

Chicago, IL · On-site

$82K - $120K/yr

  • Retirement

  • PTO

Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal ... Experience with components of Microsoft Azure like ADLS, Azure Key Vault and Azure Dev Ops

Senior Data Engineer

Chicago, IL · Hybrid

$82K - $120K/yr

  • Retirement

  • PTO

Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal ... Experience with components of Microsoft Azure like ADLS, Azure Key Vault and Azure Dev Ops

Senior Data Engineer

Chicago, IL · On-site

$82K - $120K/yr

  • Retirement

  • PTO

Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal ... Experience with components of Microsoft Azure like ADLS, Azure Key Vault and Azure Dev Ops

New

Data Engineering Principal

Chicago, IL · On-site

$150 - $210/hr

... as invoicing, ops data feeds, and reporting utilities. * Apply AI and LLM-based tooling ... Partner with Analytics Engineering and BI to ensure core data models serve reporting and ...

Showing results 21-40

Data Ops Engineer information

See Illinois salary details

$43.1K

$125.7K

$172K

How much do data ops engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data ops engineer in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a Data Ops Engineer?

Data Ops Engineers are professionals who bridge the gap between data engineering and operations. They focus on automating, monitoring, and optimizing data pipelines to ensure reliable, efficient, and secure data flow within organizations. Their responsibilities often include managing data integration, workflow orchestration, deployment of data infrastructure, and implementing best practices for data quality and governance. Data Ops Engineers work closely with data scientists, analysts, and IT teams to support data-driven decision-making and maintain high data availability. Their role is crucial in modern organizations that rely on large-scale data processing and analytics.

What are the key skills and qualifications needed to thrive as a Data Ops Engineer, and why are they important?

To thrive as a Data Ops Engineer, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or related field. Experience with tools like Apache Airflow, Docker, Kubernetes, CI/CD pipelines, and proficiency in scripting languages such as Python or Bash is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with data teams and troubleshoot complex data workflows. These skills ensure reliable data delivery, streamlined operations, and scalable solutions that support organizational data goals.

What is the difference between Data Ops Engineer vs Data Engineer?

AspectData Ops EngineerData Engineer
CredentialsCertifications in data management, cloud platforms, scriptingCertifications in data engineering, SQL, cloud services
Work EnvironmentFocus on data pipelines, automation, deployment, and monitoringFocus on data modeling, ETL processes, database design
Industry UsageUsed in organizations emphasizing data operations, automation, and DevOps practicesUsed in data-centric roles focusing on building data infrastructure

While both roles work with data infrastructure, Data Ops Engineers primarily focus on automating and managing data pipelines and deployment processes, whereas Data Engineers concentrate on designing and building data systems. The roles often overlap but differ in their core focus areas and responsibilities.

How does a Data Ops Engineer typically collaborate with data scientists and software engineers within an organization?

Data Ops Engineers play a crucial role in bridging the gap between data science and engineering teams. They ensure smooth data pipeline operations, help automate workflows, and support data scientists by providing reliable, scalable infrastructure. Collaboration often involves participating in cross-functional meetings to understand data requirements, troubleshooting data quality issues, and implementing solutions that enable efficient experimentation and model deployment. This collaborative environment helps facilitate quick iterations and reliable delivery of data products.

What job categories do people searching Data Ops Engineer jobs in Illinois look for?

The top searched job categories for Data Ops Engineer jobs in Illinois are:

Infographic showing various Data Ops Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,698 per year, or $60.4 per hour.

Payer Dev, Git & ML-Ops Engineer, Senior Associate

Pwc

Chicago, IL • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Operations Consulting team, you will design and build a next-generation analytics platform tailored for healthcare payers. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain exemplary standards while building meaningful client relationships and navigating increasingly complex situations. This role offers the chance to work alongside healthcare experts and data scientists, directly influencing client outcomes and contributing to innovative solutions in a dynamic consulting environment.
Responsibilities
- Design and implement advanced analytics solutions for healthcare payers
- Analyze intricate challenges and develop actionable insights
- Mentor and guide junior team members in their professional growth
- Maintain exceptional standards in deliverables
- Build and nurture substantial relationships with clients
- Navigate complex project environments and adapt to changing needs
- Collaborate with healthcare experts and data scientists to drive innovation
- Contribute to the development of impactful solutions in a consulting setting
What You Must Have
- Bachelor's Degree
- At least 4 years of experience in software engineering or data engineering
What Sets You Apart
- Master's Degree in Computer Science, Data Engineering, Software Engineering preferred
- Experience operating dbt at scale on Databricks
- Prior work with healthcare analytics packages
- Designing CI/CD pipelines for Databricks Asset Bundles
- Provisioning Azure Databricks workspaces and managing isolation patterns
- Building Python CLI tools with argparse and YAML configuration
- Designing AI agent systems for development workflows
- Familiarity with corporate network constraints
- Experience with multi-cloud data flows

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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