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

PROLIM Global Corporation

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

Collaborate with Data Scientists, Business Analysts, and Software Engineers. * Implement CI/CD ... pipelines and DevOps best practices for data engineering. * Troubleshoot production issues and ...

Caterpillar

Senior Data Engineer

Peoria, IL · On-site

$112K - $183K/yr

As a Senior Data Engineer on the Helios Data Engineering team, you will be responsible for ... analyze situations and reach productive decisions based on informed judgment. * Effective ...

Caterpillar

Data Scientist

Morton, IL · On-site

As a Data Scientist, you will be responsible for analyzing and mining large datasets to uncover ... Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use ...

Pursuit Aerospace

Lead Data Scientist

Morton, IL · On-site

$144K - $198K/yr

Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology * Engineer trustworthy data: turn large, messy operational data into ...

Pursuit Aerospace

Lead Data Scientist

Morton, IL · On-site

Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology * Engineer trustworthy data: turn large, messy operational data into ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Peoria, IL

Data Engineer Data Analyst information

See Peoria, IL salary details

$33.4K

$81.1K

$133.4K

How much do data engineer data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer data analyst in Peoria, IL is $81,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $95,200.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

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

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

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

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

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

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

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Peoria, IL as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 81% In-person, 7% Hybrid, and 12% Remote job distribution, with an average salary of $81,085 per year, or $39 per hour.

Data Engineer

PROLIM Global Corporation

Peoria, IL • On-site

$112K - $135K/yr

Full-time

Re-posted 11 days ago

Job description

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, Spark, ETL processes, and cloud technologies to support data-driven decision-making and advanced analytics.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
  • Build and optimize data processing solutions using Python, SQL, and Apache Spark (PySpark).
  • Develop batch and real-time data ingestion pipelines.
  • Work with structured and unstructured datasets from multiple data sources.
  • Design and implement cloud-based data solutions using Azure, AWS, or GCP.
  • Develop and maintain data models, data lakes, and enterprise data warehouses.
  • Integrate data from APIs, databases, and streaming platforms.
  • Optimize data pipeline performance and ensure data quality.
  • Collaborate with Data Scientists, Business Analysts, and Software Engineers.
  • Implement CI/CD pipelines and DevOps best practices for data engineering.
  • Troubleshoot production issues and provide ongoing support.
  • Ensure compliance with data governance, security, and privacy standards.
Required Skills
  • 5+ years of experience as a Data Engineer.
  • Strong programming skills in Python.
  • Excellent SQL skills.
  • Hands-on experience with Apache Spark / PySpark.
  • Experience with ETL/ELT development.
  • Strong knowledge of Data Warehousing concepts.
  • Experience with Hadoop ecosystem (Hive, HDFS).
  • Experience with Databricks.
  • Experience with Apache Kafka.
  • Hands-on experience with Apache Airflow or similar workflow orchestration tools.
  • Experience working on Linux/Unix environments.
  • Knowledge of Git and CI/CD pipelines.
Cloud Skills
Experience with one or more of the following:
  • Microsoft Azure (ADF, ADLS, Synapse)
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
Preferred Skills
  • Snowflake
  • Delta Lake
  • Docker
  • Kubernetes
  • Terraform
  • Scala or Java
  • Power BI or Tableau
  • REST APIs
  • Agile/Scrum methodology
  • Experience working with large-scale enterprise data platforms

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