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Data Engineer Entry Level Jobs in Batavia, IL (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Chicago, IL

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Messina Talent Advisors

Be Seen First

Entry Level Mechanical Engineer

Lisle, IL · On-site

$25 - $27/hr

Seeking to hire an entry-level engineer for a contract-to-hire opportunity to support our client ... Record and analyze test data, ensuring accuracy and completeness. * Support engineers with ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... This is not an entry-level position, and it is not a principal or architect-level role.. Location ...

Pwc

AI & GenAI Data Scientist - Manager

Chicago, IL · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Rosemont, IL · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Batavia, IL

Data Engineer Entry Level information

See Batavia, IL salary details

$45.4K

$132.2K

$180.9K

How much do data engineer entry level jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data engineer entry level in Batavia, IL is $132,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 per year, depending on experience, location, and employer.

Can I get a data engineer job with no experience?

Entry-level data engineering roles typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or Spark. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve your chances of securing an entry-level position.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on more strategic and complex aspects of data management and analysis.

What engineer makes $500,000 a year?

While most entry-level data engineers do not earn this level of salary, highly experienced data engineers working in finance, technology, or consulting firms can reach or exceed $500,000 annually, especially with bonuses and stock options. Such salaries typically require advanced skills in big data tools, cloud platforms, and extensive industry experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

Is data engineering an entry level job?

Data engineering can be an entry level position, especially for roles that focus on basic data pipeline development and require foundational skills in SQL, Python, or cloud platforms. However, many data engineering roles prefer candidates with some experience or knowledge of big data tools like Hadoop or Spark, making some positions more suitable for those with intermediate skills.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What job categories do people searching Data Engineer Entry Level jobs in Batavia, IL look for? The top searched job categories for Data Engineer Entry Level jobs in Batavia, IL are:
What cities near Batavia, IL are hiring for Data Engineer Entry Level jobs? Cities near Batavia, IL with the most Data Engineer Entry Level job openings:
Data Engineer Entry Level jobs near you
Entry level software developer/Data engineer

Entry level software developer/Data engineer

SynergisticIT

Chicago, IL

$118K - $141K/yr

Other

Posted 17 days ago

Job description

"From Another Industry to Tech: Convert Your Experience Into a Tech Offer."
Breaking into tech from another industry can feel intimidating-until you realize you already have advantages many entry-level candidates don't. If you're coming from business operations, finance, healthcare, education, QA, customer support, project management, logistics, or even sales, you've likely built skills that translate well into tech teams: problem solving, stakeholder communication, process thinking, and real-world accountability. What you may be missing is structured technical depth and an interview-ready portfolio. That's where SynergisticIT's JOPP comes in: it's designed to help you bridge from "capable professional" to "hire-ready engineer or data professional."
Since 2010, SynergisticIT has supported thousands of candidates into full-time roles with major employers such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, and more-often at $95k to $154k depending on role and stack. JOPP is built around one goal: close the gap between what tech employers expect and what jobseekers typically have after self-study or training-only bootcamps.
What roles can career switchers target?
SynergisticIT typically supports candidates targeting roles like entry-level software programmer, Java full stack developer, Python/Java developer, DevOps engineer, data analyst, BI analyst, data engineer, data scientist, and machine learning/AI engineer-based on client needs. The program's focus areas are clear: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI.
Why "learning" isn't enough when switching careers
Most career switchers try to piece together skills from Udemy/Coursera, free tutorials, and quick bootcamps. That can build familiarity-but employers hire for job-ready depth. You need:
  • Strong fundamentals (programming + data concepts)
  • Real projects (not tutorials)
  • A clear role narrative ("I'm targeting X with Y stack")
  • Interview preparation and repetition
  • A plan for getting interviews, not just learning skills
SynergisticIT sees many candidates arrive after trying other paths. In fact, it often notes that about 30% of JOPP candidates have already tried bootcamps, online courses, or university bootcamps and didn't secure jobs-because those options focused on learning but not the job-search execution and readiness.
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT
Wage-Based H-1B Filing
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
How JOPP helps convert your background into a tech story
If you come from business, you can present "domain + tech" as a strength. If you come from QA or project roles, you already understand how software teams operate. JOPP helps you fill technical gaps while shaping a profile that resonates with employers. This includes structured projects, tool exposure, interview readiness, and placement support.
International candidates and documentation support
For F1/OPT candidates, employment timelines matter. SynergisticIT provides guidance around STEM extension and process support related to H-1B and Green Card filing once employed (as applicable through employers).
Want ROI context?
ROI Blog: https://www.synergisticit.com/roi-of-job-placement-program/
If you want to explore the program directly, here are the key links:
  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact Us: https://www.synergisticit.com/contact-us/
You don't have to start over-you just have to start with the right roadmap.

Apply