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Entry Level Data Engineering Jobs in Joliet, IL (NOW HIRING)

IBM

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of generative models. ABOUT ...

IBM

Data Engineer Intern 2027

Chicago, IL

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

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Entry Level Data Engineering information

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How much do entry level data engineering jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level data engineering in Joliet, IL is $19.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.15 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What are the key skills and qualifications needed to thrive as an entry level data engineer?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

What are the most commonly searched types of Data Engineering jobs in Joliet, IL?

The most popular types of Data Engineering jobs in Joliet, IL are:

What are popular job titles related to Entry Level Data Engineering jobs in Joliet, IL?

For Entry Level Data Engineering jobs in Joliet, IL, the most frequently searched job titles are:

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What cities near Joliet, IL are hiring for Entry Level Data Engineering jobs?

Cities near Joliet, IL with the most Entry Level Data Engineering job openings:

Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Joliet, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $40,745 per year, or $19.6 per hour.

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 5 days ago

Job description

Job Title: Entry-Level Data Analyst

Location: Chicago, IL

Job Type: Only W2

Job Description:

·       Collect, clean, and analyze data from multiple sources.

·       Write SQL queries to extract and manipulate data.

·       Create reports and dashboards using tools such as Power BI or Tableau.

·       Perform data validation and identify data quality issues.

·       Analyze trends, patterns, and business performance metrics.

·       Prepare daily, weekly, and monthly reports.

·       Support senior analysts and business teams with ad-hoc data requests.

·       Maintain and update datasets, reports, and dashboards.

·       Communicate analytical findings to technical and non-technical stakeholders.

·       Document data sources, processes, and reporting procedures.

·       Assist with automating repetitive reporting tasks.

Required Skills:

·       SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations.

·       Excel — PivotTables, VLOOKUP/XLOOKUP, formulas, charts, data cleaning.

·       Basic understanding of data analysis and statistics.

·       Familiarity with Power BI or Tableau.

·       Good analytical and problem-solving skills.

·       Strong attention to detail.

·       Good written and verbal communication skills.

Preferred Skills:

·       Python, especially Pandas and NumPy.

·       Power BI/DAX or Tableau.

·       Basic knowledge of relational databases.

·       Understanding of ETL/data pipelines.

·       Basic knowledge of statistics.

·       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·       Experience working with large datasets.

Qualifications:

·       Bachelor’s degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering, or a related field.

Apply