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Junior Dataops Engineer Jobs in Chicago, IL (NOW HIRING)

Noblesoft Technologies

SAP BODS Consultant

Chicago, IL · On-site

Mentor and train junior data engineers and other team members on best practices and emerging technologies in data engineering. * Building and managing DevOps & DataOps CI/CD pipelines and automated ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... DataOps practices. Mentor junior team members and promote best practices in data quality ... Familiarity with DevOps and DataOps practices for enterprise data platforms. * Experience ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... DataOps practices. Mentor junior team members and promote best practices in data quality ... Familiarity with DevOps and DataOps practices for enterprise data platforms. * Experience ...

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

... DataOps Practices: Implement source control, branching strategies, CI/CD pipelines, automated ... Provide design guidance, code reviews, and technical coaching to junior engineers or database ...

Huntington

MLOps Automation Senior Lead Engineer

Chicago, IL · On-site +1

$107K - $140K/yr

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Ability to train more junior analysts regarding day-to-day activities, as necessary * Proven ...

All JobsDataops Engineer JobsJunior Dataops Engineer JobsJunior Dataops Engineer Jobs in Chicago, IL

Junior Dataops Engineer information

See Chicago, IL salary details

$34.5K

$74K

$112.8K

How much do junior dataops engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for junior dataops engineer in Chicago, IL is $73,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,400.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Dataops Engineer jobs in Chicago, IL?

The most popular types of Dataops Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Junior Dataops Engineer jobs?

Cities near Chicago, IL with the most Junior Dataops Engineer job openings:

Junior Dataops Engineer jobs near you

Jr. Data Engineer - Databricks / PySpark / Power BI

Aptino

Lincolnshire, IL • On-site

$120K - $144K/yr

Other

Posted 2 days ago

New

Job description

Role: Jr. Data Engineer – Databricks / PySpark / Power BI
Location: Lincolnshire, IL – Onsite
Duration: 12 Months

Job Overview:

We are seeking an experienced Data Engineer to take ownership of enterprise data engineering, analytics, and production support initiatives. This is a hands-on technical role requiring strong expertise in SQL, Databricks, PySpark, and Power BI, along with the ability to work directly with client stakeholders and coordinate distributed/offshore engineering teams.

The ideal candidate will be responsible for the full lifecycle of data solutions—from requirements and architecture through development, production support, troubleshooting, optimization, and continuous improvement.

Key Responsibilities:
  • Design, develop, enhance, and support enterprise-scale data pipelines and data-driven business solutions.
  • Build and optimize robust ETL/ELT pipelines using Databricks, PySpark, and advanced SQL.
  • Develop efficient data models and perform SQL query optimization, performance tuning, and troubleshooting.
  • Develop and maintain Power BI dashboards, reports, semantic/data models, and analytics solutions, including DAX.
  • Translate business and functional requirements into scalable technical data solutions.
  • Partner directly with client stakeholders to understand requirements, communicate technical solutions, and manage expectations.
  • Take ownership of production support, including incident investigation, troubleshooting, problem resolution, and root cause analysis (RCA).
  • Drive continuous improvement initiatives focused on performance, reliability, automation, scalability, and operational efficiency.
  • Coordinate with offshore development/support teams, monitor delivery, and ensure solutions meet quality and timeline expectations.
  • Identify opportunities to automate repetitive processes and improve development and operational workflows.
  • Support data platform enhancements, releases, and production deployments while maintaining platform stability.
  • Provide technical guidance and ensure end-to-end ownership of assigned data engineering initiatives.
Required Qualifications:
  • 5+ years of overall IT experience, with at least 4+ years in Data Engineering and Analytics.
  • Expert-level SQL skills, including query optimization, complex queries, data modeling, and performance tuning.
  • Strong hands-on experience with Databricks, preferably in a Google Cloud Platform environment; experience must be with non-Azure Databricks.
  • Strong development experience using PySpark for large-scale data processing and transformation.
  • Advanced Power BI experience, including DAX, dashboard development, reporting, and data modeling.
  • Proven experience designing, developing, and supporting large-scale ETL/ELT pipelines and enterprise data platforms.
  • Hands-on experience with production support, incident management, troubleshooting, and RCA.
  • Strong client-facing communication and stakeholder management skills.
  • Experience working in an onsite/offshore delivery model and coordinating distributed engineering teams.
  • Strong analytical and problem-solving skills with the ability to bridge business requirements and technical implementation.
Preferred Skills:
  • Google BigQuery
  • Python
  • Delta Lake
  • Data Lakehouse architecture
  • CI/CD
  • DataOps
  • Data pipeline automation and performance optimization

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