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Dataops Engineer Jobs in Illinois (NOW HIRING)

Astronomer

Sales Engineer

Chicago, IL · Remote

$200K - $250K/yr

Astronomer is on a mission to make DataOps a first-class discipline in every modern data ... We're expanding our Sales Engineering team to help data teams orchestrate, observe, and optimize ...

State Farm

Data Engineer

Bloomington, IL · Hybrid

$109K - $130K/yr

Your Responsibilities May Include: • Utilizes industry-adopted languages and frameworks in coding, testing, security, DevOps, DataOps and data engineering practices • Develops and maintains ...

Optiver

Lead Data Engineer

Chicago, IL

$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 ...

Optiver

Lead Data Engineer

Chicago, IL

$200K/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 ...

Dlapiper

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 ...

iManage

Senior AI Data Engineer

Chicago, IL

$109K - $148K/yr

Being a Senior AI Data Engineer at iManage Means... You're passionate about transforming ... Solid dataOps knowledge and experience orchestrating advanced NLP data pipelines using cloud based ...

Huntington

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

The Mutual Group

Lead IT Project Manager

Chicago, IL · Hybrid

$140K - $170K/yr

Improve delivery practices: promote test automation, DevOps/CI/CD, DataOps/ML Ops, and data-driven insights (burn-down, cycle time, predictive risk); leverage AI-assisted PM tooling where valuable.

HiveMQ GmbH

Senior Solutions Engineer

Chicago, IL

$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 ...

Optiver

Lead Data Architect

Chicago, IL

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 ...

Optiver

Lead Data Architect

Chicago, IL

$200K/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 ...

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Dataops Engineer information

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How much do dataops engineer jobs pay per hour?

As of Jun 23, 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 job?

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 are popular job titles related to Dataops Engineer jobs in Illinois? For Dataops Engineer jobs in Illinois, the most frequently searched job titles 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:
Dataops Engineer jobs near you
Sales Engineer

Sales Engineer

Astronomer

Chicago, IL • Remote

$200K - $250K/yr

Full-time

Posted 16 days ago

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization. As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale for companies like Condé Nast, Rappi, Sonos, and more. We're expanding our Sales Engineering team to help data teams orchestrate, observe, and optimize their data pipelines with confidence.
The work location for this role is based in the Chicago area and follows a remote work model. The position requires regional travel of approximately 25%, aligned with business needs.
What You Get to Do:
  • Lead the technical sales motion in partnership with Account Executives - discovery, demos, proof-of-concepts, and architecture discussions
  • Understand customer pain and translate it into high-impact technical solutions tied to business value
  • Build and deliver tailored demos and POCs using Python, Airflow, and related tools
  • Guide customers through modern DataOps strategies - from orchestration to observability and automation
  • Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy

What you bring to the role:
You're technically sharp, customer-oriented, and energized by solving real problems with data teams. We're not looking for a perfect checklist match - but here's what a strong candidate might bring:
  • Python fluency, CLI comfort, and experience building with tools like Docker
  • Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
  • Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
  • Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
  • 3-10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
  • Strong communication skills across technical and business stakeholders
  • Startup-friendly mindset: proactive, adaptable, fast-moving

Bonus points if you have:
  • Experience with observability, Kubernetes, or helping teams scale modern data stacks.

Why Astronomer?
  • We're defining the DataOps layer of the modern data stack - not just orchestration
  • Airflow is the standard - we're making it enterprise-ready, secure, and scalable
  • Backed by top-tier investors and trusted by data-forward organizations
  • You'll work with a team that values clarity, ownership, and high standards - without ego

The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Fulltime
#LI-Remote
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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