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Full Time Data Engineering Jobs in Illinois (NOW HIRING)

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

Our data engineering internship is an intensive 10-week experience with our team who is responsible ... full-time opportunities at Jump. You will take on projects working on production code and gain ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

Our data engineering internship is an intensive 10-week experience with our team who is responsible ... full-time opportunities at Jump. You will take on projects working on production code and gain ...

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Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

... data engineering, data platform development, or cloud data solutions 3+ years of hands-on ... The base compensation range for this full-time position is between $130,000 - $150,000 plus ...

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Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

... data engineering, data platform development, or cloud data solutions • 3+ years of hands-on ... The base compensation range for this full-time position is between $130,000 - $150,000 plus ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Bachelor's degree in computer science or related field * 6+ years of experience in data engineering ... The base compensation range for this full-time position is between $130,000 - $150,000 plus ...

Isys Technologies

IL · On-site

$99K - $105K/yr

Proficiency with data engineering tools and languages such as Python, Java, SQL, and shell ... Must be able to commute to Scott AFB, IL for up to full-time onsite support. * Security ...

Zeno

Data Engineer, Data & AI Platforms

Chicago, IL · On-site

$118K - $141K/yr

The role is full-time and reports into Zeno's AI & Innovation practice. The team you're joining AI ... About You: * 6+ years of hands-on data engineering experience. You've built pipelines, debugged ...

Zeno

Data Engineer, Data & AI Platforms

Chicago, IL

$118K - $141K/yr

The role is full-time and reports into Zeno's AI & Innovation practice. The team you're joining AI ... About You: * 6+ years of hands-on data engineering experience. You've built pipelines, debugged ...

Endeavor Health

Cloud Data Engineer

Skokie, IL · On-site

$41.64 - $64.54/hr

Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud Data Engineer is considered a subject matter ...

NorthShore

Cloud Data Engineer

Skokie, IL · On-site

$41.64 - $64.54/hr

Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud Data Engineer is considered a subject matter ...

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All JobsData Engineering JobsFull Time Data Engineering JobsFull Time Data Engineering Jobs in Illinois

Full Time Data Engineering information

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

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

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making this a stable and growing career field.

What are the most commonly searched types of Data Engineering jobs in Illinois?

The most popular types of Data Engineering jobs in Illinois are:

What cities in Illinois are hiring for Full Time Data Engineering jobs?

Cities in Illinois with the most Full Time Data Engineering job openings:

Full Time Data Engineering jobs near you
Infographic showing various Full Time Data Engineering job openings in Illinois as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Director of Data Engineering/B2B/Finance/Chicago Local

Motion Recruitment

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 22 days ago

Job description

Our client is hiring a Director of Data Strategy & Analytics for a full-time, permanent role based in downtown Chicago, IL (hybrid — in-office Tuesdays). Our client is a fast-growing, profitable B2B eCommerce marketplace serving the property management sector, centralizing procurement and spend visibility for portfolio operators at scale. This leadership role sits at the intersection of data engineering, business intelligence, and financial strategy, owning the full data stack from pipeline infrastructure through BI platforms and advanced analytics
Our client needs a data leader who can build a strong infrastructure and culture. You’ll own the data narrative end-to-end, defining multi-year strategy, standing up a scalable data warehouse, and partnering with commercial, product, and operations leaders to drive real business decisions. This is a rare opportunity to build a data function largely from scratch inside a company that’s already profitable and growing fast. If you’re energized by turning messy data into competitive advantage and can move fluidly between fixing a broken pipeline and presenting a strategy to the board, this role was made for you.
Required Skills & Experience
  • 7+ years of progressive experience in data analytics, business intelligence, or data engineering, with 3–5+ years in a leadership role
  • Strong hands-on proficiency with SQL and at least one of Python or R; experience with dbt, Snowflake, BigQuery, Redshift, Fivetran, or Airflow
  • Deep experience with BI and data visualization platforms (Tableau, Looker, or Power BI) with a track record of building dashboards that drive commercial action
  • Demonstrated success building and leading data teams — hiring, developing, and retaining analytical talent
  • Familiarity with data governance frameworks and data privacy regulations (GDPR, CCPA
Desired Skills & Experience
  • Proven background in B2B eCommerce, marketplace, or a B2B SaaS environment
  • Experience with statistical modeling, forecasting techniques, and A/B testing methodologies
  • Experience evaluating and managing data platform vendors and cloud data warehouse tooling
  • Exposure to AI/ML-powered analytics and emerging data technologies
What You Will Be Doing
Tech Breakdown
70% Python and SQL
30% Snowflake and DBT
Daily Responsibilities
  • 30% Hands On
  • 70% Management Duties

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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