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Junior Data Engineering Jobs in Wheaton, IL (NOW HIRING)

RB Global Inc.

Staff Data Scientist

Westchester, IL · On-site

$100 - $140/hr

Perform feature engineering, data validation, and quality assurance across large, complex datasets ... Mentor junior data scientists and analysts, and contribute to best practices across the data ...

Heidrick & Struggles

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

As a senior member of the data engineering team, you will own complex data solutions, drive best practices, and mentor junior engineers while ensuring our data platform is scalable, governed, and ...

Ritchie Bros.

Staff Data Scientist

Westchester, IL · On-site

Perform feature engineering, data validation, and quality assurance across large, complex datasets ... Mentor junior data scientists and analysts, and contribute to best practices across the data ...

Noblesoft Technologies

SAP BODS Consultant

Chicago, IL · On-site

Mentor and train junior data engineers and other team members on best practices and emerging technologies in data engineering. * Building and managing DevOps & DataOps CI/CD pipelines and automated ...

IQVIA

Senior Data Scientist,Digital

Rosemont, IL · On-site

Experience mentoring junior data scientists, data engineers, or contractors and helping teams apply consistent technical and architectural standards. * Experience creating decision-oriented ...

Deloitte

Lead AI and Data Science Engineer II

Chicago, IL · On-site

$105K - $139K/yr

Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment * Mentorship of junior and mid-level analysts, providing ...

Paul Hastings

Senior Data Engineer

Chicago, IL · On-site

$194K/yr

Mentor junior data engineers and promote best practices in CI/CD, version control, and release management. Proficiencies: * Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2 ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Collaborate with cross-functional teams, including engineering, data, and business stakeholders ... Mentor junior data scientists by providing technical guidance, reviewing work, and fostering their ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Supervise junior members of the data engineering team. Guiding, planning, and reviewing the team's work * Create and maintain optimal data pipeline architecture * Assemble large, complex data sets ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

Mentor junior team members and promote best practices in data quality engineering and testing. Position Qualifications: Required Skills and Experience * Bachelor's degree in Computer Science ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

Mentor junior team members and promote best practices in data quality engineering and testing. Position Qualifications: Required Skills and Experience * Bachelor's degree in Computer Science ...

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 ... Provide design guidance, code reviews, and technical coaching to junior engineers or database ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Wheaton, IL

Junior Data Engineering information

See Wheaton, IL salary details

$32.4K

$69.4K

$105.8K

How much do junior data engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for junior data engineering in Wheaton, IL is $69,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $77,300.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What are popular job titles related to Junior Data Engineering jobs in Wheaton, IL?

For Junior Data Engineering jobs in Wheaton, IL, the most frequently searched job titles are:

What cities near Wheaton, IL are hiring for Junior Data Engineering jobs?

Cities near Wheaton, IL with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Wheaton, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,395 per year, or $33.4 per hour.

Staff Data Scientist

RB Global Inc.

Westchester, IL • On-site

$100 - $140/hr

Other

Posted 10 days ago

Job description

Description

About the Role

The Staff Data Scientist will play a key role in advancing IAA’s Machine Learning (ML) and advanced analytics initiatives. This role involves building supervised and unsupervised ML models, as well as developing AI agentic applications, with a strong business orientation and a track record of delivering data-driven services. The Staff Data Scientist will implement scalable, machine learning-based solutions to drive growth and operational efficiency across the organization.

Working closely with cross-functional teams within the IAA ecosystem, the Staff Data Scientist will help integrate these solutions into enterprise-scale services. This role requires deep knowledge of data best practices to ensure the most appropriate data sources are leveraged to answer business questions and perform advanced analysis of customer behavior, vehicle listings, and other business data.

Responsibilities

  • Lead end-to-end data science projects, from problem framing and data exploration through model development, deployment, and monitoring
  • Design and build supervised, unsupervised, and deep learning models to solve high-impact business problems
  • Develop AI agentic applications and LLM-powered solutions to automate workflows and unlock new capabilities
  • Design and analyze experiments (A/B tests, causal inference) to measure model and product impact
  • Perform feature engineering, data validation, and quality assurance across large, complex datasets
  • Partner with data engineering and ML platform teams to productionize models and ensure scalability, reliability, and monitoring
  • Translate ambiguous business questions into well-scoped data science problems and communicate findings to technical and non-technical stakeholders
  • Mentor junior data scientists and analysts, and contribute to best practices across the data science team

Required Qualifications

  • 5–7 years of experience building and deploying production machine learning models, including supervised, unsupervised, and deep learning approaches
  • Advanced proficiency in Python and SQL, with deep experience in ML libraries such as scikit-learn, PyTorch or TensorFlow, pandas, and NumPy
  • Hands-on experience building AI agentic applications using LangChain, LangGraph, or similar frameworks, including integration with LLMs and external tools/APIs
  • Hands-on experience with the full ML lifecycle: feature engineering, model training, hyperparameter tuning, evaluation, deployment, and monitoring
  • Strong foundation in statistics, experimental design (A/B testing), and core ML algorithms (gradient boosting, neural networks, clustering, dimensionality reduction)
  • Experience working with large-scale datasets using distributed computing frameworks (Spark, Dask) and cloud platforms (AWS, Azure, or GCP)
  • Proven ability to translate ambiguous business problems into technical solutions and communicate results to both technical and non-technical stakeholders
  • Experience mentoring junior data scientists in an Agile environment

Preferred Qualifications

  • Hands-on experience with Natural Language Processing (NLP) and/or computer vision applications
  • Familiarity with Large Language Models (LLMs), prompt engineering, and Generative AI techniques
  • Experience with MLOps practices and CI/CD pipelines for machine learning workflows
  • Contributions to open-source projects
EEO Information

Ritchie Bros. is an equal opportunity employer and ensures nondiscrimination in all activities in accordance with all applicable laws. This position is open to all qualified applicants who are legally entitled to work in the country in which this job is located. Candidate selection is made by Talent Acquisition. Only electronic applications can be accepted.

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