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Associate Data Engineer Jobs in Springfield, IL (NOW HIRING)

TRIMEDX Holdings

CE IT Technician

Springfield, IL · On-site

Verifies proper data flow conditions on the CDI network. Responds to CDI trouble calls pertaining ... Ensures the Clinical Engineering program and associates are capable of and maintain the connected ...

Hansoninc

Deputy CAD Administrator

Springfield, IL · On-site +1

$50/hr

Associate degree or higher in CAD, Engineering Technology, Drafting, or related field (or ... Experience supporting a common data environment (CDE). * Familiarity with scripting, automation ...

Sysco

Environmental Health and Safety Leader

Lincoln, IL · On-site

$81K - $122K/yr

Associate Safety Professional (ASP) designation or ability to acquire designation within 1 year is ... data and research-driven methods. * Ability to analyze and independently resolve a variety of ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Springfield, IL

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for associate data engineer in Springfield, IL is $18.57, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.76 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

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

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Springfield, IL?

The most popular types of Data Engineer jobs in Springfield, IL are:

What are popular job titles related to Associate Data Engineer jobs in Springfield, IL?

For Associate Data Engineer jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Springfield, IL look for?

The top searched job categories for Associate Data Engineer jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Associate Data Engineer jobs?

Cities near Springfield, IL with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Springfield, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $38,627 per year, or $18.6 per hour.

Data Engineer (Principal Consultant #1086, 1858)

Illinois State Board of Education

Springfield, IL • On-site

$64.32 - $81.28/hr

Other

Posted 4 days ago

Job description

Data Engineer (Principal Consultant #1086, 1858)

Location: Springfield or Chicago

Union: IFSOE

Department: Software Solutions

Anticipated Starting Salary Range: $64,322 - $81,284

Full Salary Range: $64,322 - $109,467

Office Hours: Monday – Friday 8:00 a.m. – 5:00 p.m.

Posted Date: July 1, 2026

Software solutions department is seeking a skilled and experienced Data Engineer to provide support for Agency initiatives revolving around the ISBE data warehouse. The ideal candidate will have a strong background in data architecture, data modeling, and Extract, Transform, Load (ETL) processes. This position functions under general supervision and reports to a supervisor.

Duties and Responsibilities
  • Develops, optimizes, and troubleshoots ETL/ELT processes to extract, transform, and load data from multiple sources.
  • Supports ongoing data warehouse operations such as data migration, reporting, analysis, troubleshooting, and performance tuning.
  • Collaborates with data engineers, analysts, and business stakeholders to deliver scalable data solutions.
  • Interprets data and analyzes results using statistical techniques and provides ongoing reports.
  • Creates and maintains documentation on large scale data warehouse models and processes.
  • Identifies, analyzes, and interprets trends or patterns in complex data sets.
  • Supports reporting and bi tools by preparing datasets, building queries, and optimizing data access.
  • Participates in data governance, quality initiatives, and best practice development.
  • Performs other duties as assigned.
Required Qualifications
  • Bachelor's degree in Computer Science or other IT related field with 5-8 years of experience, or, an Associate's degree in one of these fields with 5-8 years of experience performing development and application analysis work. (COPY OF TRANSCRIPTS REQUIRED AT TIME OF APPLICATION)
  • Minimum of five years of experience in data warehousing and relational databases.
  • Hands‑on experience with data warehousing concepts (Star Schema, Snowflake, fact/dimension tables).
  • Proficiency with ETL/ELT tools and data integration technologies.
  • Proficiency in Microsoft SQL server, data modeling tools, ETL tools and data warehousing technologies.
  • Strong understanding of database concepts and data modeling.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent verbal and written communication skills, with the ability to effectively communicate complex technical concepts to non-technical understanding of ISBE application framework to troubleshoot and support user interfaces (e.g., Data Quality Dashboard, Illinois Report Card, My Data Dashboard, data verse.)
  • GIT version control ability to translate business needs into technical requirements.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Experience with BI tools (Power BI, Tableau, Looker).
  • Knowledge of cloud-based data migration and implementation.
  • Knowledge of scripting languages (Python, Shell).
  • Background in education data and reporting background in data governance, data quality, or master data management.
  • Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud).
  • Familiarity with AI technology and tools.
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