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Entry Level Data Engineering Jobs in Springfield, IL

Python/R Developer

Springfield, IL · On-site

$52 - $67.25/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

... data. * Acts as a trusted subject-matter contributor rather than an entry-level support role. Privacy by Design & Product Advisory * Support product, engineering, and business teams by advising on ...

We are seeking a hard-working and self-driven individual for an entry-level production position at ... Engineering and Production project participation during scheduled maintenance/cleanup days.

... AV, and Engineering. Our customer centric approach has ensured long term relationships with ... Basic level understanding and utilization of electronic data, systems, applications on Ipads ...

Entry Level Data Engineering information

See Springfield, IL salary details

$11

$20

$31

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

As of Jun 28, 2026, the average hourly pay for entry level data engineering in Springfield, IL is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in cloud platforms, big data tools, and extensive industry experience. These roles are rare and usually involve leadership responsibilities or niche expertise.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is an Entry Level Data Engineering job?

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.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for entry-level positions. Building a solid foundation in data concepts and gaining hands-on experience can improve chances of securing such roles.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

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.

Is data engineering an entry level job?

Data engineering can be an entry level role, especially for those with foundational skills in programming, databases, and cloud platforms. However, many positions require some experience with data pipelines, scripting, and tools like SQL, Python, or Spark, so entry-level candidates should focus on developing these skills and relevant certifications.
What are popular job titles related to Entry Level Data Engineering jobs in Springfield, IL? For Entry Level Data Engineering jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Springfield, IL look for? The top searched job categories for Entry Level Data Engineering jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Entry Level Data Engineering jobs? Cities near Springfield, IL with the most Entry Level Data Engineering job openings:
Infographic showing various Entry Level Data Engineering job openings in Springfield, IL as of June 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,724 per year, or $20.1 per hour.
Python/R Developer

Python/R Developer

SynergisticIT

Springfield, IL • On-site

$52 - $67.25/hr

Other

Posted 2 days ago


Job description

Career Opportunities At Synergisticit

For more than 12 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers.

In this market also our candidates get multiple job offers and $100k+ salaries.

All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates.

Required skills for data science/machine learning positions: Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle knowledge of statistics, SAS, Python, computer vision, data visualization tools excellent written and verbal communication skills.

Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow.

Required skills for Java/full stack/software positions: Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle project work on the skills knowledge of core Java, javascript, C++ or software programming Spring boot, microservices, Docker, Jenkins and REST API's experience excellent written and verbal communication skills.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.