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Dataops Engineer Jobs in Illinois (NOW HIRING)

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Mentor junior engineers and drive a culture of continuous learning and DataOps excellence What you'll get * Immediate impact on the data systems powering world-class research and real-time trading ...

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Drive engineering excellence through CI/CD, automation, testing, observability, DataOps, and DevSecOps practices. * Influence and support the development of agentic and AI-enabled solutions that ...

Posted today

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

Familiarity with DevOps and DataOps practices for enterprise data platforms. * Experience supporting Power BI reporting and downstream analytics validation. * Experience utilizing AI-assisted ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Follow and promote software engineering, DataOps, and MLOps best practices. Minimum Requirements * Must be authorized to work in the U.S. now and in the future. * Bachelor's degree in Computer ...

Implement CI/CD pipelines using GitHub| Azure DevOps| or similar tools.Support DataOps and operational monitoring processes. Essential Skills: Northern Trust is looking for an Azure Data Engineer to ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

Familiarity with DevOps and DataOps practices for enterprise data platforms. * Experience supporting Power BI reporting and downstream analytics validation. * Experience utilizing AI-assisted ...

Data Engineer

Chicago, IL

$118K - $141K/yr

... DataOps concepts and operating in cross-functional teams that include data engineering personas. * The measures of success for this role include delivering data pipelines with trusted, quality data ...

MLOps Automation Senior Lead Engineer

Chicago, IL · On-site +1

$107K - $140K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Experience with agile development and strong understanding of DataOps and ModelOps principles

Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional ... enabled DataOps capabilities * Contributing to AI and analytics initiatives by helping clients ...

Senior Solutions Engineer

Chicago, IL · On-site

$57 - $73.50/hr

... value engineering, competitive positioning), and feeding field insights into Product and ... DataOps narratives Coach the team and create leverage * Mentor Solution Advisors, shadow their ...

We're engineering systems that decomplexify coverage and facilitate reimbursement, so more pets can ... Establish CI/CD standards, testing strategies, and DataOps best practices to support platform ...

Mentor junior engineers and drive a culture of continuous learning and DataOps excellence What You'll Get * Immediate impact on the data systems powering world-class research and real-time trading ...

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Dataops Engineer information

See Illinois salary details

$20

$55

$97

How much do dataops engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for dataops engineer in Illinois is $55.72, according to ZipRecruiter salary data. Most workers in this role earn between $40.29 and $61.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the DataOps engineer position, and why are they important?

To thrive as a Dataops Engineer, you need a strong background in data engineering, automation, CI/CD practices, and cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and major cloud providers (AWS, Azure, GCP) as well as relevant certifications significantly enhances effectiveness in this role. Strong problem-solving skills, collaboration, and clear communication are essential soft skills for working across teams and addressing fast-changing data needs. These combined abilities ensure smooth data pipeline operations, minimize downtime, and enable efficient, reliable delivery of data-driven solutions.

What are the common day-to-day responsibilities of a DataOps engineer?

A Dataops Engineer is typically responsible for designing, deploying, and maintaining automated data pipelines that support business analytics and operations. Daily tasks often include monitoring data workflows, troubleshooting pipeline issues, optimizing system performance, and collaborating with data scientists, analysts, and DevOps teams to ensure seamless data delivery. You may also be involved in implementing data quality checks, managing cloud resources, and improving deployment processes. This role is dynamic and fast-paced, requiring both technical expertise and effective cross-team communication. Working as a Dataops Engineer provides the opportunity to work on cutting-edge projects and directly influence data-driven decision-making across the organization.

What is a DataOps engineer?

A DataOps Engineer is responsible for streamlining and automating data workflows, ensuring data quality, and enabling efficient data integration across platforms. They work closely with data scientists, analysts, and engineers to implement CI/CD pipelines, manage data infrastructure, and optimize data delivery processes. Their role involves leveraging tools for orchestration, monitoring, and version control to enhance collaboration and reliability in data operations.

What are the most commonly searched types of Dataops Engineer jobs in Illinois? The most popular types of Dataops Engineer jobs in Illinois are:
What job categories do people searching Dataops Engineer jobs in Illinois look for? The top searched job categories for Dataops Engineer jobs in Illinois are:
Infographic showing various Dataops Engineer job openings in Illinois as of July 2026, with employment types broken down into 14% Internship, 8% As Needed, 44% Full Time, 4% Part Time, 2% Contract, and 28% Nights. Highlights an 67% Physical, 9% Hybrid, and 24% Remote job distribution, with an average salary of $115,901 per year, or $55.7 per hour.

Onsite_Azure Data Engineer _Chicago, IL

Themesoft, Inc.

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 21 days ago


Job description

Overview:
Hello,
Our client is seeking an experienced professional with the skill set outlined below. If you are interested in this opportunity, please review the job description and share your updated resume along with your contact details.
Azure Data Engineer
Location: Chicago, IL
Duration: 6 Months
Experience Required
  • 8-12+ years in Data Engineering, Cloud Data Platforms, or Azure Data Engineering
  • Experience building enterprise-scale data platforms on Microsoft Azure

Top 5 Mandatory Skills
  1. Azure Data Factory (ADF)
  2. Azure Databricks
  3. Snowflake
  4. Azure Data Lake / Data Warehouse
  5. SQL (Advanced)

Role Descriptions:
  • Data Engineering & Development
  • Design and develop end-to-end data ingestion| transformation| and loading (ETL/ELT) pipelines.
  • Build and maintain enterprise data lakes and data warehouses on Azure.
  • Develop data solutions using Azure Data Factory (ADF)| Azure Databricks| and Snowflake.
  • Create and optimize SQL-based data transformation processes.
  • Support real-time and batch data processing requirements.
  • Cloud & Architecture
  • Design scalable cloud-native data architectures.
  • Evaluate and enhance existing data platforms and technology stacks.
  • Implement secure| high-availability| and disaster recovery compliant solutions.
  • Support data modernization and cloud migration initiatives.
  • Data Governance & Quality
  • Ensure data quality| lineage| metadata management| and governance standards.
  • Partner with Data Governance teams and tools such as Collibra.
  • Implement security| compliance| and regulatory controls across data platforms. DevOps & Automation
  • Automate infrastructure provisioning using Terraform.
  • Implement CI/CD pipelines using GitHub| Azure DevOps| or similar tools.
  • Support DataOps and operational monitoring processes.

Essential Skills:
  • Client is looking for an Azure Data Engineer to design| develop| and maintain enterprise-scale cloud data platforms.
  • The role focuses on building scalable data pipelines| data lakes| data warehouses| and analytics solutions using Microsoft Azure technologies while supporting regulatory| reporting| and business intelligence requirements.

Thanks & Regards,
Rupesh Mourya
rupesh@themesoft.com