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New Grad Data Engineer Jobs in Lisle, IL (NOW HIRING)

Technology Enablement & Best Practices · Contribute to evaluating and adopting new tools, frameworks, and technologies that enhance data engineering efficiency and scalability. · Follow standards ...

New

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... new data and more consistent analytics/AI consumption and creating reduced manual effort through ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... From entering dynamic new markets to embracing disruptive technologies, and from developing an ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... From entering dynamic new markets to embracing disruptive technologies, and from developing an ...

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

Collaborate with cross-functional teams to identify and integrate new data sources and to ensure ... Document data engineering activities and processes. * Lead technical partner engagements. * Adhere ...

Data Engineer

Oak Brook, IL · On-site

$115K - $138K/yr

Collaborate with cross-functional teams to identify and integrate new data sources and to ensure ... Document data engineering activities and processes. * Lead technical partner engagements. * Adhere ...

Data Engineer

Chicago, IL

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... learn new concepts and technologies Preferred Qualifications Experience working directly with ...

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Trading, Chicago, IL A proprietary trading firm is seeking a Data Engineer with ... New York, Philadelphia, Phoenix, Raleigh, Salt Lake City, San Antonio, San Diego, San Francisco ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... quickly learn new concepts and technologies Preferred Qualifications • Experience working ...

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

We are embedding data culture into our DNA and are excited to add a new face to that mission ... Bachelor's degree in Computer Science, Engineering, or a related field * Equivalent practical ...

Data Engineer

Chicago, IL

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... learn new concepts and technologies Preferred Qualifications * Experience working directly with ...

Data Engineer

Chicago, IL · Hybrid

$140K - $150K/yr

Your Future Team The Associate, Data Engineer, reporting to the Managing Director, Software ... In-office Monday through Thursday and work from home on Fridays * Free brand-new gym in the Chicago ...

Data Engineer

Chicago, IL · On-site

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... In-office Monday through Thursday and work from home on Fridays * Free brand-new gym in the Chicago ...

Data Engineer

Chicago, IL · Hybrid

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... In-office Monday through Thursday and work from home on Fridays * Free brand-new gym in the Chicago ...

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New Grad Data Engineer information

See Lisle, IL salary details

$43.9K

$127.9K

$175K

How much do new grad data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for new grad data engineer in Lisle, IL is $127,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

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

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

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. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What are popular job titles related to New Grad Data Engineer jobs in Lisle, IL?

For New Grad Data Engineer jobs in Lisle, IL, the most frequently searched job titles are:

What job categories do people searching New Grad Data Engineer jobs in Lisle, IL look for?

The top searched job categories for New Grad Data Engineer jobs in Lisle, IL are:

What cities near Lisle, IL are hiring for New Grad Data Engineer jobs?

Cities near Lisle, IL with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data Engineer job openings in Lisle, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,917 per year, or $61.5 per hour.

$107K - $143K/yr

Full-time

Posted yesterday

New


Job description

The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data

platforms. This role focuses on building scalable, efficient, and secure data solutions using modern cloud

technologies. The engineer collaborates with analytics, BI, and business teams to transform requirements into

reliable data assets that support reporting, analytics, and operational needs.


Data Engineering & Pipeline Development

· Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and

Microsoft Fabric.

· Build and optimize data ingestion, transformation, and integration processes across structured and

unstructured data sources.

· Develop and support data lakes, lakehouses, and data warehouse environments using MSSQL and cloud-

native platforms.

· Implement ETL/ELT best practices to ensure performance, reliability, and data quality.

· Automate data workflows and monitor pipeline health; identify and resolve issues promptly.

Collaboration & Solution Delivery

· Work closely with analytics, BI, and business teams to understand data requirements and translate them

into technical solutions.

· Partner with cross-functional teams to support data-driven initiatives and ensure pipelines align with

reporting and operational needs.

· Contribute to documentation of data structures, transformation logic, and system dependencies.

Technology Enablement & Best Practices

· Contribute to evaluating and adopting new tools, frameworks, and technologies that enhance data

engineering efficiency and scalability.

· Follow standards for code quality, testing, version control, and documentation.

· Apply data governance, quality, and reliability principles in daily engineering work.

Business Intelligence & Analytics Support

· Build reusable data models and curated datasets to enable self-service analytics.

· Ensure downstream BI teams receive accurate, well-structured, and timely data.

· Transform business requirements into scalable and maintainable technical designs.

Compliance & Security

· Ensure data engineering solutions align with privacy regulations such as GDPR and HIPAA, as well as internal security requirements. · Maintain proper data access controls and contribute to monitoring data quality and compliance metrics.


Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

· 5–7 years of experience in data engineering, ETL/ELT development, or cloud data platforms.

· Hands-on experience with Azure Data Factory, Databricks, Microsoft Fabric, and MSSQL.

· Strong knowledge of data lake, lakehouse, and data warehouse architectures.

· Solid understanding of ETL/ELT processes, data modeling, and metadata management.

· Proficiency in SQL and Python; familiarity with cloud platforms and big data technologies.

· Ability to diagnose data issues, optimize performance, and work with cross-functional technical and

business teams.

Preferred Certifications

· Microsoft Certified: Azure Data Engineer Associate

· Databricks Certified Data Engineer

· Certifications related to data governance, risk, or compliance

· Master’s degree in Computer Science, Information Systems, or related fields


We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit our Joint Commission Career Page 

We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.


USD $107,000.00/year
USD $143,000.00/year