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Data Engineer Ml Jobs in Chicago, IL (NOW HIRING)

Prolaio

Data Engineer

Chicago, IL

$134K/yr

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience * 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.

Prolaio

Data Engineer

Chicago, IL · On-site

$134K/yr

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience * 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.

Bcbsa

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

... Data Engineer will design, build, and optimize scalable, secure data pipelines that power analytics and product platforms. For this role specifically, the focus will be on Machine Learning (ML) and ...

PERMUTE

Senior Research Engineer - ML Systems

Chicago, IL · On-site

$150 - $200/hr

Senior Research Engineer - ML Systems Employment Type: Full-time Company: Permute (www.permute.ai ... Productionize and optimize our existing learned evidence architecture for structured data * Improve ...

Alpha Consulting Corp.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... monitor ML applications in cloud environments • Collaborate with Data Scientists and cross ... Required : • Strong programming experience in Python • Hands-on experience with AWS (or similar ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... AI/ML to automate data workflows, improve pipeline observability, and optimize performance. Qualifications : Required : • 3+ years of experience in data engineering, analytics engineering, or ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI ... AI/ML to automate data workflows, improve pipeline observability, and optimize performance. • ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... AI/ML to automate data workflows, improve pipeline observability, and optimize performance. • ...

DeKalb Health

Data Engineer

Romeoville, IL · On-site

$100 - $125/hr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Support ML workflows by helping produce curated training datasets and feature-ready tables ...

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Support ML workflows by helping produce curated training datasets and feature-ready tables ...

Permute AI, Inc

Senior Data Engineer

Chicago, IL · On-site

$180K - $280K/yr

Senior Data Engineer - AI Systems Employment Type: Full-time Company: Permute (www.permute.ai ... Design and build scalable data pipelines and infrastructure supporting AI and ML systems * Develop ...

Magid Glove & Safety

Data Engineer

Romeoville, IL · Hybrid

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Support ML workflows by helping produce curated training datasets and feature-ready tables ...

Bank of America

Data Engineer - Python/AI

Addison, IL · On-site

$114K - $137K/yr

... Engineering teams to aid with implementing data requirements, analyzing performance, and ... This position is responsible for designing, building, and operating AI/ML solutions endtoend , with ...

Guidehouse

Data Engineer

Chicago, IL · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and ... Experience with microservices, Spring Boot, and integration of AI/ML components. * Previous ...

Fitch Solutions

Principal Data Engineer

Chicago, IL

$118K - $141K/yr

Architect data infrastructure to support AI/ML workloads, including feature stores, vector ... You have 8+ years of data engineering experience, including 3+ years in a lead role architecting ...

Fitch Group

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Architect data infrastructure to support AI/ML workloads, including feature stores, vector ... You have 8+ years of data engineering experience, including 3+ years in a lead role architecting ...

NEWMARK

Staff Data Engineer

Chicago, IL · On-site

Set engineering standards and best practices for data quality, modeling, testing, observability ... Experience building the data layer for ML/AI, including feature stores, vector databases ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Chicago, IL

Data Engineer Ml information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do data engineer ml jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer ml in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in Chicago, IL?

For Data Engineer Ml jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in Chicago, IL look for?

The top searched job categories for Data Engineer Ml jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Engineer Ml jobs?

Cities near Chicago, IL with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.

Senior Trainer - Data Engineering (Advanced + AI Integration)

Revature LLC

Chicago, IL • On-site

$100 - $125/hr

Other

Re-posted 22 days ago

Job description

Position Summary

Senior Trainer – Data Engineering – Capable of delivering advanced training on end‑to‑end data engineering workflows from ingestion to AI‑ready data sets, teaching modern data platforms (Databricks, Apache Spark, Kafka, Airflow, Delta Lake, Snowflake). The role trains the next generation of Data Engineers and AI‑ready professionals.

Key Responsibilities
  • Deliver in‑depth, interactive, and hands‑on sessions on advanced data engineering and AI integration.
  • Train and mentor learners on distributed processing using Apache Spark and Databricks.
  • Guide data orchestration with Airflow and CI/CD pipelines for data workflows.
  • Teach real‑time streaming using Kafka or Kinesis and lakehouse architectures with Delta Lake, Snowflake, and cloud‑native solutions.
  • Prepare datasets for AI/ML pipelines, including feature engineering and dataset versioning.
  • Work with MLflow, Databricks AutoML, and AI/ML integrations on cloud platforms.
  • Implement data governance, lineage, and monitoring best practices.
  • Guide learners through AI‑ready data engineering projects, combining data pipelines with model development and deployment.
  • Collaborate with curriculum designers to integrate emerging AI and data science tools (vector databases, MLOps frameworks) into training modules.
  • Conduct performance evaluations, code reviews, and one‑on‑one learner mentoring sessions.
  • Keep current with AI trends, modern data infrastructure, and cloud‑native innovations to continuously enrich training.
Required Skills & Qualifications
  • 5+ years of professional experience in data engineering, big data, or AI/ML infrastructure development.
  • Strong programming skills in Python (pandas & numpy) and SQL.
  • Hands‑on experience with Databricks, Apache Spark, and PySpark.
  • Deep understanding of data lakes, Delta Lake, and lakehouse architecture.
  • Proficiency with streaming frameworks such as Kafka or Kinesis.
  • Experience with Airflow or other orchestration tools.
  • Familiarity with MLflow, TensorFlow, or PyTorch for data‑to‑AI workflows.
  • Cloud expertise in at least one major provider (AWS, Azure, or GCP) and its data services.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical discipline.
  • Excellent communication, presentation, and mentoring skills.
  • Prior experience as a corporate trainer, instructor, or mentor in a data/AI‑focused program.
  • Availability to deliver on‑site and virtual training.
Preferred Skills / Attributes
  • Certifications such as Databricks Certified Data Engineer, Machine Learning Professional, AWS Certified Machine Learning – Specialty, Google Professional Data Engineer/ML Engineer.
  • Familiarity with AI model lifecycle management, feature stores, and MLOps best practices.
  • Demonstrated ability to bridge data engineering and AI/ML domains.
  • Passion for teaching, mentoring, and simplifying complex, end‑to‑end data and AI systems.
Equal Opportunity Statement

Revature is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, genetic information, age, marital status, protected veteran status, or disability status.

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