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Full Time Data Engineering Jobs in Illinois (NOW HIRING)

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for ...

Data Engineer

Lisle, IL ยท Hybrid

$74K - $133K/yr

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for ...

Sr Data Engineer (Remote)

Bolingbrook, IL ยท Remote

$102K - $140K/yr

We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ... Full-time positions are eligible for paid time off, health, dental, vision, life and disability ...

Senior Data Engineer

Bolingbrook, IL ยท On-site

$102K - $140K/yr

We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ... Full-time positions are eligible for paid time off, health, dental, vision, life and disability ...

Sr Data Engineer (Remote)

Bolingbrook, IL ยท Remote

$102K - $140K/yr

We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ... Full-time positions are eligible for paid time off, health, dental, vision, life and disability ...

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 ...

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 ...

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 ...

IL ยท 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 ...

Data Engineer, Data & AI Platforms

Chicago, IL ยท 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 ...

Data Engineer, Data & AI Platforms

Chicago, IL ยท 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 ...

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 ...

Showing results 21-40

Full Time Data Engineering information

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 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 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.

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 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:
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.

Data Engineer

Covista

Lisle, IL โ€ข Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago


Job description

Company Description

Covista is America's largest healthcare educator, serving more than 97,000 students and supported by a community of 385,000 alumni across five accredited institutions. Through personalized, tech-enabled education powered by 10,000 faculty and colleagues, Covista expands access to healthcare careers and addresses the U.S. healthcare workforce shortage at scale. Covista is the parent company of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.
Our colleagues come from a wide range of backgrounds, business, academia, healthcare, government and nonprofits, and are part of a culture where doing exceptional work and making a meaningful difference for students and society aren't separate goals—they're one and the same. This means creating an environment where colleagues can develop new skills, build careers that match their ambitions and see the tangible impact of their work on healthcare education and workforce development. Colleagues who deliver results and embrace new tools to work smarter are valued for their contributions. But what makes working at Covista distinctive is our impact. Our faculty and colleagues don't just support healthcare education—they shape it. This isn't abstract purpose work. It's solving real problems for real people in real communities while advancing careers.
We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment.
For more information, visit covista.com and follow us on LinkedIn, Instagram and YouTube.

***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***
 

Job Description
  • Work closely with various business, IT, Analyst and Data Science groups to collect business requirements.
  • Develop, deploy and support high performance data pipelines both inbound and outbound.
  • Optimize data pipelines for performance, scalability, and reliability.
  • Ensure quality of critical data element, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
  • Document the design and support strategy of the data pipelines.
  • Capture, store and socialize data lineage and operational metadata.
  • Troubleshoot and resolve data engineering issues as they arise.

***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***

Qualifications
  • Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Required.
  • Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred.
  • Three (3) plus years of experience in building data lakes and cloud data platforms.
  • Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
  • Expert knowledge on SQL and Python programming.
  • Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
  • Experience in tuning queries for performance and scalability
  • Experience working in agile environment.
  • Excellent problem-solving and critical thinking skills.

***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***


Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $74,064.94 and $133,901.96. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.
Covista offers a robust suite of benefits including:

  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Covista’s Flexible Time Off (FTO) Policy
  • 12 Paid Holidays
    For more information related to our benefits please visit:
    https://careers.covista.com/benefits
    You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.***

Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation