Entry Level Data Engineer

Circle Logistics Inc.

Fort Wayne (IN)

On-site

USD 60,000 - 90,000

Full time

5 hours ago
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Benefits offered by this job

Health benefits
Mentorship opportunities
Ownership of meaningful projects

Job summary

Circle Logistics is seeking an Entry Level Data Engineer to build and maintain data systems powering operations. You will design data pipelines, connect TransportPro TMS with other tools, and develop analytics for the team.

With guidance from experienced engineers, you will gain practical skills in data engineering, contribute to data quality, and help drive data-driven decision making across Sales, Carrier Sales, and Track & Trace teams.

Qualifications

  • Data pipelines and ETL workflows for freight and logistics data.
  • Data integration to connect TransportPro TMS with other tools and data sources.
  • Data quality checks and monitoring tools to ensure accuracy.
  • Foundational analytics and reporting to support decision-making.

Responsibilities

  • Design and develop data pipelines and ETL workflows that extract, transform, and load freight and logistics data into our systems.
  • Build data integration solutions that connect our TransportPro TMS platform with other business tools and data sources.
  • Write clean, maintainable Python code and SQL queries for data extraction and analysis.
  • Create and maintain data quality checks and monitoring tools for data reliability.
  • Collaborate with Sales, Account Management, Carrier Sales, and Track & Trace teams to translate data requirements into solutions.
  • Document data pipelines, workflows, and processes clearly for team understanding.
  • Troubleshoot data issues and apply Git-based development workflows.
  • Stay curious about emerging data technologies and best practices.

Skills

Python
SQL
REST APIs
Git/version control
Cross-functional collaboration
Documentation
Problem solving

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Tools

TransportPro TMS
Git

Job description

Circle Logistics is a leading freight brokerage and third-party logistics provider connecting shippers with high-quality carrier partners across multiple transportation modes. We deliver customer-focused, data-driven supply chain solutions with national reach, deep industry expertise, and a reputation for execution. As a private, debt-free company, Circle offers strong growth opportunities, long-term career development, and a collaborative operating environment.

Job Description

We're a growing freight brokerage looking for an Entry Level Data Engineer to help build and maintain the data systems that power our operations. You'll work with our Sales, Account Management, Carrier Sales, and Track & Trace teams to design data solutions that make information more accessible and actionable across the organization. With guidance from our experienced team, you'll develop practical skills in data engineering while making a real impact on our business.

Key Responsibilities:

  • Design and develop data pipelines and ETL workflows that extract, transform, and load freight and logistics data into our systems
  • Build data integration solutions that connect our TransportPro TMS platform with other business tools and data sources
  • Write clean, maintainable SQL queries and Python scripts to extract, analyze, and prepare data for reporting and analytics
  • Create and maintain data quality checks and monitoring tools to ensure accuracy and reliability of operational data
  • Collaborate with Sales, Account Management, Carrier Sales, and Track & Trace teams to understand their data needs and translate requirements into technical solutions
  • Support the development of foundational analytics and reporting that help teams make better decisions
  • Document data pipelines, workflows, and processes clearly so that others can understand and maintain your work
  • Troubleshoot data issues and work with the team to resolve problems that impact data reliabilityLearn and apply version control best practices using Git and collaborative development workflows
  • Stay curious about emerging data technologies and best practices in data engineering to continuously improve your skills
Qualifications

What You'll Build

  • Data pipelines and ETL workflows that extract, transform, and load freight and logistics data into our systems
  • Data integration solutions that connect our TransportPro TMS platform with other business tools and data sources
  • Data quality and monitoring tools that ensure accuracy and reliability of operational data
  • Foundational analytics and reporting that support decision-making across Sales, Account Management, and Track & Trace teams

What We're Looking For

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent professional experience)
  • Strong foundational Python skills with the ability to write clean, maintainable code
  • Solid understanding of SQL and experience querying relational databases for data extraction and analysis
  • Familiarity with REST APIs, webhooks, and basic data integration concepts
  • Experience with or strong interest in learning ETL tools and data pipeline frameworks
  • Proficiency with version control systems (Git) and collaborative development practices
  • Ability to work effectively with cross-functional teams to understand data requirements and translate them into technical solutions
  • Strong problem-solving skills and attention to detail when working with data
  • Excellent written and verbal communication skills, with the ability to document processes and explain technical concepts clearly
  • Eagerness to learn emerging data technologies and best practices in data engineering
  • Freight, logistics, or supply chain industry experience is a plus; familiarity with TMS platforms is advantageous

What We Offer

  • Health, dental, and vision benefits
  • Mentorship and professional development opportunities
  • Real impact and ownership of meaningful projects from day one
Additional Information

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