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Remote Dataops Engineer Jobs in Illinois (NOW HIRING)

ASTRONOMER INC

Sales Engineer

Chicago, IL · Remote

$200K - $250K/yr

Astronomer is on a mission to make DataOps a first-class discipline in every modern data ... The work location for this role is based in the Chicago area and follows a remote work model. The ...

Diverse Lynx

Microsoft Fabric Data Engineering Lead

Chicago, IL · Remote

$118K - $141.80K/yr

REMOTE or Chicago, IL Microsoft Fabric Data Engineering Lead Role Summary The Microsoft Fabric Data ... Familiarity with data quality| DataOps| and production support practices. Essential Skills: The ...

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Remote Dataops Engineer information

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

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

What is the difference between Remote Dataops Engineer vs Data Engineer?

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

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 Remote Dataops Engineer jobs in Illinois? For Remote Dataops Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Dataops Engineer jobs in Illinois look for? The top searched job categories for Remote Dataops Engineer jobs in Illinois are:
What cities in Illinois are hiring for Remote Dataops Engineer jobs? Cities in Illinois with the most Remote Dataops Engineer job openings:
Remote Dataops Engineer jobs near you
Sales Engineer

Sales Engineer

ASTRONOMER INC

Chicago, IL • Remote

$200K - $250K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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.
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