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

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 ...

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 ...

Munich Re

Actuarial Data Scientist (FCAS)

Chicago, IL · On-site +1

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required. * Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and ...

Addison Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Establish and promote engineering standards, coding best practices, and data governance. * Optimize existing data architecture for performance, scalability, and reliability. * Mentor junior team ...

Pwc

Tax Innovation - Data Engineer - Manager

Chicago, IL · On-site

$99K - $266K/yr

Industry/Sector Not Applicable Specialism Data Engineering Management Level Manager & Summary The ... junior staff. You are accountable for confirming project success and maintaining standards.

Hinshaw & Culbertson

Enterprise Data Architect

Chicago, IL · On-site +1

$140K - $180K/yr

Engineering Standards and Automation * Implement source control, peer review, automated testing ... Ensure data platforms and integrations meet firm security policies, client confidentiality ...

1872 Consulting

Principal Data Engineer

Chicago, IL · Hybrid

Work on a range of product initiatives on a rotational basis, which require special engineering and ... particular junior engineers Actively contribute to the code bases and software development ...

Munich RE

Actuarial Data Scientist (FCAS)

Chicago, IL · On-site

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required. * Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and ...

1872 Consulting

Principal Data Engineer

Chicago, IL · Hybrid

Work on a range of product initiatives on a rotational basis, which require special engineering and ... particular junior engineers Actively contribute to the code bases and software development ...

Gerber Collision & Glass

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

This is a high impact role reporting into the head of data engineering and will involve working ... Consistently delivers high quality software and provides coaching to peers and junior team members.

The Boyd Group

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

This is a high impact role reporting into the head of data engineering and will involve working ... junior team members. Can help drive the team's activities in the absence of leadership / scrum ...

The Boyd Group

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

This is a high impact role reporting into the head of data engineering and will involve working ... junior team members. Can help drive the team's activities in the absence of leadership / scrum ...

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

Junior Data Engineering information

See Chicago, IL salary details

$34.5K

$74K

$112.8K

How much do junior data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for junior data engineering in Chicago, IL is $73,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,400.00 per year, depending on experience, location, and employer.

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 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 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 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 most commonly searched types of Data Engineering jobs in Chicago, IL?

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

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

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

What job categories do people searching Junior Data Engineering jobs in Chicago, IL look for?

The top searched job categories for Junior Data Engineering jobs in Chicago, IL are:

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

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

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 17% Internship, 50% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $73,964 per year, or $35.6 per hour.

Lead Machine Learning / Data Science Engineer

CapTech Consulting

Chicago, IL • On-site

$57.50 - $76/hr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
  • Bachelor's degree or equivalent combination of education and experience.
  • Experience providing technical leadership and mentoring other engineers in data engineering space
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $90,000 - $200,000.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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