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Data Engineer 1

Peoria, IL, US • Posted 2 days ago • Updated 57 minutes ago

Full Time

On-site

USD 46.42 per hour

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Job Details

Skills

Project Management
Performance Management
Preventive Maintenance
Data Modeling
Visualization
Business Analytics
Decision-making
Dashboard
Algorithms
Collaboration
Data Integrity
Root Cause Analysis
Process Optimization
Advanced Analytics
Data Science
Computer Science
Mathematics
Information Systems
Data Engineering
Analytics
Business Intelligence
Python
R
SQL
Java
Requirements Elicitation
Documentation
Critical Thinking
Communication
Microsoft Power BI
Tableau
Cloud Computing
Data Governance
Master Data Management
Predictive Analytics
Artificial Intelligence
Statistical Models
Statistics
Analytical Skill
Machine Learning (ML)
Programming Languages
Requirements Analysis
Data Visualization
Data Quality
Problem Solving
Conflict Resolution
Continuous Improvement
Health Insurance

Project Management
Performance Management
Preventive Maintenance
Data Modeling
Visualization
Business Analytics
Decision-making
Dashboard
Algorithms
Collaboration
Data Integrity
Root Cause Analysis
Process Optimization
Advanced Analytics
Data Science
Computer Science
Mathematics
Information Systems
Data Engineering
Analytics
Business Intelligence
Python
R
SQL
Java
Requirements Elicitation
Documentation
Critical Thinking
Communication
Microsoft Power BI
Tableau
Cloud Computing
Data Governance
Master Data Management
Predictive Analytics
Artificial Intelligence
Statistical Models
Statistics
Analytical Skill
Machine Learning (ML)
Programming Languages
Requirements Analysis
Data Visualization
Data Quality
Problem Solving
Conflict Resolution
Continuous Improvement
Health Insurance

Summary

Location: Peoria, Illinois
Type: Contract
Job #105409

Job Title: Data Engineer 1

Location: Peoria, IL

Job Type: 12 month, On Going Contract, W2

Expected hours per week: 40 hours per week

Schedule: On-site, 8am-5pm, Monday-Friday

Pay Range: $46.42 per hour

Job Description:

Position Summary

We are seeking a Data Engineer to support advanced analytics initiatives by leveraging deep knowledge of enterprise datasets to identify, investigate, and resolve data quality issues. This role is responsible for transforming complex data into meaningful insights through data modeling, visualization, statistical analysis, and machine learning techniques. The ideal candidate will partner with business stakeholders to deliver data-driven solutions that improve decision-making and operational performance.

Key Responsibilities

Analyze large and complex datasets to identify data quality gaps, inconsistencies, and opportunities for improvement.

Design, develop, and maintain scalable data pipelines, data models, and analytics solutions.

Apply statistical methods and business analytics techniques to measure performance, identify trends, and support strategic decision-making.

Develop dashboards, reports, and visualizations that communicate insights clearly to technical and non-technical audiences.

Utilize machine learning algorithms and predictive analytics models to solve business problems and uncover actionable insights.

Gather, analyze, and document business and technical requirements to support data and analytics projects.

Collaborate with cross-functional teams to define data governance standards and improve overall data integrity.

Perform root cause analysis on data-related issues and implement sustainable corrective actions.

Support continuous improvement efforts through automation, process optimization, and advanced analytics methodologies.

Required Qualifications

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.

Experience working with large-scale datasets, data engineering, analytics, or business intelligence solutions.

Strong understanding of statistical analysis, business metrics, and data interpretation.

Experience developing and implementing machine learning models and analytical solutions.

Proficiency in one or more programming languages such as Python, R, SQL, Java, or similar.

Demonstrated ability to perform requirements gathering, analysis, and documentation.

Strong analytical, problem-solving, and critical-thinking skills.

Excellent communication skills with the ability to present technical findings to business stakeholders.

Preferred Qualifications

Experience with data visualization tools such as Power BI, Tableau, or similar platforms.

Knowledge of cloud-based data technologies and modern data architectures.

Experience with data quality management, data governance, and master data practices.

Familiarity with predictive analytics, AI, and advanced statistical modeling techniques.

Core Competencies

Business Statistics

Analytical Thinking

Machine Learning

Programming Languages

Requirements Analysis

Data Visualization & Storytelling

Data Quality Management

Problem Solving & Continuous Improvement

Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan

#LI-CP1
#INDOEM

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111081
Position Id: 3645797a67b3ef258b14e13083e55554
Posted 2 days ago

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