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Data Ops Engineer Jobs in Illinois (NOW HIRING)

AbbVie

Associate Scientist, Data II

North Chicago, IL

$56K - $57K/yr

... engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops. * Learn and ...

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$65K/yr

... engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops. * Learn and ...

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$56K - $57K/yr

... engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops. * Learn and ...

Uturndata

Data and AI Engineer

Chicago, IL · On-site

$80 - $120/hr

Collaborate with architects, customers, and senior engineers to implement data pipelines, platforms ... ML Ops: data / model training pipelines, parameter tuning, and tuning for inference * Familiar with ...

Armaninollp

Data & AI Platform Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

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Showing results 21-40

All JobsData Ops Engineer JobsData Ops Engineer Jobs in Illinois

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 Sep 6, 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.

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 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.

Is data operations a good career?

Data Operations, often involving roles like Data Ops Engineer, is a growing field focused on managing data pipelines, automation, and infrastructure. It offers strong job demand, competitive salaries, and opportunities to work with tools like cloud platforms and data management systems, making it a viable career choice for those interested in data and technology.

What are popular job titles related to Data Ops Engineer jobs in Illinois?

For Data Ops Engineer jobs in Illinois, the most frequently searched job titles are:

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:

Data Ops Engineer jobs near you
Infographic showing various Data Ops Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,698 per year, or $60.4 per hour.

Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

Motion Recruitment

Chicago, IL • Remote

$107K - $147K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

An innovative data-driven marketing and technology organization is seeking a Mid-Level AI/ML Ops Engineer to help support and scale AI initiatives across the business. This full-time opportunity offers the chance to work with modern cloud technologies including AWS, Databricks, Docker, Kubernetes, CI/CD pipelines, and AI-powered platforms while helping deploy machine learning solutions into secure and reliable production environments.
This is an excellent opportunity for an operations-minded engineer who enjoys solving production challenges and improving platform reliability. The organization has built a strong reputation for investing in employee development, fostering collaboration, and creating an environment where engineers can deepen their expertise in AI infrastructure, cloud platforms, and MLOps best practices. You'll have direct exposure to cutting-edge AI projects and the opportunity to help shape operational standards as AI adoption continues to grow. Required Skills & Experience
  • 3-5 years of experience in MLOps, DevOps, Cloud Engineering, Platform Engineering, or similar roles
  • Experience deploying machine learning models into production environments
  • Strong knowledge of AWS cloud services
  • Experience with Databricks
  • Hands-on experience with Docker and Kubernetes
  • Proficiency in Python
  • Experience building and maintaining CI/CD pipelines
  • Familiarity with monitoring and observability platforms
  • Experience supporting production environments and troubleshooting incidents
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
Desired Skills & Experience
  • Experience with AWS Bedrock, SageMaker, or other AI platforms
  • Exposure to large language model deployment and optimization
  • Knowledge of model monitoring and drift detection
  • SQL and data analytics experience
  • Infrastructure as Code experience
  • Experience supporting highly scalable cloud applications
What You Will Be Doing Tech Breakdown
  • 40% AWS Cloud Infrastructure
  • 25% Kubernetes & Container Platforms
  • 20% CI/CD & Automation
  • 15% Monitoring, Observability & Support
Daily Responsibilities
  • 75% Hands-On Engineering
  • 5% Management Duties
  • 20% Team Collaboration
The Offer
  • Bonus Eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) Program
  • Paid Vacation & Holidays
  • Professional Development Opportunities
  • Life Insurance
  • Employee Assistance Programs
  • Flexible Work Environment
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
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