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

The AES Group

Data Engineer (Snowflake) 2

Chillicothe, IL · On-site

$103K - $124K/yr

Data Engineer (Snowflake) Location: Chillicothe, IL 61523 (Onsite - 5 Days/Week) Let's create our ... Associate's degree in Computer Programming, Computer Science, Information Technology, or a related ...

Caterpillar

Associate Engineer

Mossville, IL · On-site

... Associate Engineer who validates products and processes for our Power Controls Components ... Analysis of test data and database maintenance * Document and communicate test results and ...

Epitec

Database analyst/Programmer 2

Chillicothe, IL · On-site

$40 - $43/hr

... with data needs and best practices. * Maintain technical documentation, process flows, and architecture standards. Years of Experience and Education * Associate's degree in Computer Programming ...

NLB Services

Network Engineer 3

East Peoria, IL · On-site

Responsibilities : • Network configuration validation and remediation. (Correlation of data from ... Required : • Associate's degree in computer programming or relevant field 7+ years experience • ...

Trilon

Design Engineer

East Peoria, IL

Interpret survey data, GIS data, field notes, and technical reports for use in project designs ... Associate or Bachelor's degree in Civil Engineering, Civil Engineering Technology, or related field ...

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

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for associate data engineer in Peoria, IL is $18.39, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $19.57 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 Peoria, IL?

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

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

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

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

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

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

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

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Peoria, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $38,241 per year, or $18.4 per hour.

Data Engineer (Snowflake) 2

The AES Group

Chillicothe, IL • On-site

$103K - $124K/yr

Contractor

Posted 4 days ago

Job description

Role: Data Engineer (Snowflake)
Location: Chillicothe, IL 61523 (Onsite – 5 Days/Week)
Let’s create our future together at The AES Group!
About The AES Group

The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.
 
Position Overview

Seeking a Data Engineer (Snowflake) to join the clients team supporting enterprise analytics and data initiatives. Ideal candidate will combine Snowflake administration, strong SQL, ETL/data engineering, data integration, and troubleshooting skills. The position will support the development and maintenance of foundational data solutions used by business users, analytics teams, applications, and reporting platforms.

Key Responsibilities

  • Provide Snowflake administration and development support, including database objects, access grants, permissions, and create statements.
  • Develop, maintain, troubleshoot, and optimize SQL queries, views, and data solutions.
  • Investigate and trace data, query, and system issues across multiple enterprise platforms.
  • Build and maintain ETL/data pipelines for integrating, transforming, and normalizing data from multiple sources.
  • Support data orchestration, job scheduling, and automated data processes.
  • Monitor and help maintain data freshness, availability, reliability, and quality.
  • Integrate and normalize datasets across enterprise data platforms.
  • Design and build data objects and solutions rather than relying solely on pre-existing code or procedures.
  • Review data solutions for efficiency, performance, compute usage, and storage costs, particularly within Snowflake.
  • Manage user access and role-based permissions while supporting data governance requirements.
  • Support the modernization of analytics and reporting capabilities across the organization.
  • Document database architecture, data flows, processes, and program-specific solutions.
  • Collaborate with data engineers, data specialists, scientists, enterprise technology teams, and internal business customers.
  • Support users consuming enterprise data through Power BI, applications, analytics platforms, and other solutions.
  • Respond to internal data requests and help users identify, access, and consume the appropriate datasets.
  • Help establish consistent data engineering practices and develop scalable, optimized solutions.

Required Qualifications

  • 2–4 years of relevant experience preferred. Candidates with additional experience may also be considered based on skill alignment and interest in the role.
  • Associate's degree in Computer Programming, Computer Science, Information Technology, or a related field required; Bachelor's degree preferred.
  • Strong hands-on Snowflake experience.
  • Strong SQL development and troubleshooting skills.
  • Experience with ETL/data engineering and data pipelines.
  • Experience integrating and normalizing data from multiple sources.
  • Strong troubleshooting, data analysis, and issue-resolution capabilities.
  • Understanding of database administration, access management, and permissions.
  • Experience with data orchestration and job scheduling.
  • Ability to independently build, troubleshoot, and support data solutions.
  • Strong verbal and written communication skills.
  • Ability to work independently while collaborating effectively with technical and business stakeholders.

Top 3 Technical Skills

1. Snowflake

Hands-on Snowflake administration/development, access management, database objects, troubleshooting, performance, and cost considerations.

2. SQL

Strong ability to independently develop, analyze, troubleshoot, and optimize SQL queries and views.

3. ETL / Data Engineering

Experience building or supporting data pipelines, data integration, normalization, orchestration, scheduling, and reliable data delivery.

Strongly Preferred

  • Snowflake DBA experience
  • Advanced SQL/query engineering
  • Cross-platform data integration
  • Data normalization and transformation
  • ETL/data pipeline development
  • Data orchestration and job scheduling
  • Enterprise data environment experience
  • Snowflake performance and cost optimization
  • Role-based access control and data governance
  • Experience troubleshooting data issues across multiple systems

Nice-to-Have Skills

  • Python scripting and automation
  • AWS services/accounts
  • Power BI or data visualization experience
  • SAS or other legacy analytics technologies
  • Experience with enterprise databases such as Oracle, Teradata, SQL Server, DB2
  • Snowflake Cortex
  • GitHub Copilot
  • Agentic AI development tools
  • Experience using AI-assisted development tools such as those integrated with VS Code
  • Architecture/dependency management tools such as LeanIX

Ideal Candidate Profile

The ideal candidate is a Snowflake-focused Data Engineer / Database Analyst who can operate across both database administration and development.

A strong candidate will bring: Snowflake + Strong SQL + ETL/Data Engineering + Troubleshooting + Data Integration.