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New Grad Data Engineer Jobs in Illinois (NOW HIRING)

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

Chicago, IL · On-site

$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

Romeoville, IL · On-site

$96 - $134/hr

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, 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 ... learn new concepts and technologies Preferred Qualifications * Experience working directly with ...

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 · On-site

$100K - $115K/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

$100K - $115K/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 ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Data Engineer

Campus, IL · On-site

$111K - $134K/yr

Data Engineer Division: Information Technology Evaluation Group: Staff FLSA Status: Exempt Reports ... Create new data validation methods and data analysis tools * Monitors system and integration ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer EPTech's Enterprise Consumer Products team transforms customer experiences, and ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Data Engineer III

Chicago, IL · On-site

$138 - $173/hr

Support onboarding of new data sources, attributes, customer events, and downstream activation integrations. Audience Engineering & Activation Build and maintain data pipelines that power audience ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Showing results 21-40

New Grad Data Engineer information

See Illinois salary details

$43.1K

$125.7K

$172K

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

As of Sep 7, 2026, the average yearly pay for new grad data engineer in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 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 job categories do people searching New Grad Data Engineer jobs in Illinois look for?

The top searched job categories for New Grad Data Engineer jobs in Illinois are:

What cities in Illinois are hiring for New Grad Data Engineer jobs?

Cities in Illinois with the most New Grad Data Engineer job openings:

Infographic showing various New Grad Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,698 per year, or $60.4 per hour.

Data Engineer

Reply

Chicago, IL • On-site

$130K - $150K/yr

Full-time

Re-posted 15 days ago


Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills - someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
• Work directly with clients to understand business goals, data challenges, and technical requirements
• Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
• Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
• Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
• Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
• Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
• Bachelor's degree in computer science or related field
• 6+ years of experience in data engineering, data platform development, or cloud data solutions
• 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
• Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
• Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
• DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
• Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
• Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
• Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
• Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements
• Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
The base compensation range for this full-time position is between $130,000 - $150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.