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Logistics Data Engineer Jobs (NOW HIRING)

Lead Data Engineer

Aurora, CO · On-site

$135K - $155K/yr

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of ... As Lead Data Engineer working within Shared Services (one of our entities), you will be responsible ...

Use EAGLE to perform Logistics Support Analysis and develop Logistics Product Data Summaries. * Support logistics engineering activities and assist as a technical resource on a development program ...

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental ... Any experience in automation (Python), CI/CD, or logistics industry is a plus. Personality-wise we ...

Data Engineer - PySpark, Databricks & AWS Redshift Location: Chicago, IL (locals Only) Employment ... Prior experience within e-commerce, airlines, transportation, or logistics environments is highly ...

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental ... Any experience in automation (Python), CI/CD, or logistics industry is a plus. Personality-wise we ...

$135K - $155K/yr

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of ... As Lead Data Engineer working within Shared Services (one of our entities),you will be responsible ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

A Top 100 Trucking company by Inbound Logistics and a Top Tier Service Carrier by Mastio ... Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

A Top 100 Trucking company by Inbound Logistics and a Top Tier Service Carrier by Mastio ... Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark ... Prior experience within e-commerce, airlines, transportation, or logistics environments is highly ...

Data Engineer

New York, NY · Hybrid

$140K - $155K/yr

Link Logistics Real Estate ("Link") is a leading operator of warehouses and business parks ... Own prompt engineering, eval frameworks, and production reliability. * Data Pipelines - Build ETL ...

Data Engineer

New York, NY · On-site

$140K - $155K/yr

Link Logistics Real Estate ("Link") is a leading operator of warehouses and business parks ... Own prompt engineering, eval frameworks, and production reliability. * Data Pipelines - Build ETL ...

Additionally, the incumbent will act as the technical lead for logistics data integration, engineering software interfaces and exporting critical system data to ensure interoperability across ...

Showing results 21-40

Logistics Data Engineer information

See salary details

$49K

$80.4K

$117.5K

How much do logistics data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for logistics data engineer in the United States is $80,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $89,000.00 per year, depending on experience, location, and employer.

What is a logistics data engineer?

Logistics data engineers are professionals who design, build, and maintain data systems specifically for logistics and supply chain operations. They work with large datasets from transportation, warehousing, inventory, and distribution systems to ensure that data is accurate, accessible, and usable for analysis. Their role often involves data integration, data pipeline development, and supporting analytics teams with reliable data infrastructure. Logistics data engineers play a crucial part in helping organizations optimize their supply chain operations and make data-driven decisions.

What are the key skills and qualifications needed to thrive as a logistics data engineer?

To thrive as a Logistics Data Engineer, you need a strong background in data analysis, programming (often Python or SQL), and knowledge of supply chain or logistics processes, typically supported by a degree in computer science, engineering, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), database management systems, and sometimes certifications in data engineering or logistics software are common requirements. Attention to detail, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure accurate analysis and optimization of logistics operations, leading to improved efficiency and decision-making within the supply chain.

How does a logistics data engineer typically collaborate with operations and supply chain teams?

Logistics Data Engineers work closely with operations and supply chain teams by developing data pipelines and analytical tools that help optimize inventory management, route planning, and shipment tracking. They regularly meet with these teams to understand real-time data needs, troubleshoot data integration issues, and translate operational requirements into actionable data solutions. Effective communication and a strong grasp of logistics workflows are essential for ensuring that data-driven insights directly support process improvements and decision-making. This collaborative environment often leads to opportunities for cross-functional projects and professional growth.

What cities are hiring for Logistics Data Engineer jobs?

Cities with the most Logistics Data Engineer job openings:

What states have the most Logistics Data Engineer jobs?

States with the most job openings for Logistics Data Engineer jobs include:

What are popular job titles related to Logistics Data Engineer jobs?

For Logistics Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Logistics Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,369 per year, or $38.6 per hour.

Lead Data Engineer

Aurora, CO • On-site

Redwood Logistics, LLC
Transportation and Warehousing • 1 - 5K employees

$135K - $155K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Key responsibilities

  • Lead and mentor a team of data engineers, providing guidance, support, and technical expertise

  • Design, develop, and maintain scalable data pipelines, data vault, data warehouses, and data marts

  • Collaborate with stakeholders to deliver key metrics and establish data strategy


Job description

Careers at Redwood LogisticsBack to Job Openings Lead Data Engineer

Lead Data Engineer

Reports To: Principal Data Engineer

Location: Remote (within the U.S.)

Environment: Remote

Status: Exempt, Salaried

Who We Are:

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.

Leveraging a comprehensive range of services, data-centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid-market segment within the freight tech industry.

Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

Purpose of Your Work:

As Lead Data Engineer working within Shared Services (one of our entities), you will be responsible for leading a team of data engineers working on designing, developing, and maintaining scalable data pipelines, a data vault, and various data warehouses and marts. You will work with stakeholders across all departments to deliver key metrics across a variety of functional areas, as well as participate in establishing data strategy.

How You Make a Difference Everyday:

  • Lead and mentor a team of data engineers, providing guidance, support, and technical expertise
  • Manage backlog grooming, sprint planning, and prioritization activities for data engineering projects
  • Collaborate with business and technical leaders to set and execute both strategic and tactical initiatives
  • Stay current with emerging trends and technologies in data engineering. Identify and evaluate new platforms and tools to enhance the tech stack and improve data infrastructure and processes
  • Design, develop, and maintain robust data pipelines from various TMS and other data sources.
  • Design and implement new data structures or extend existing structures to support evolving business requirements
  • Ensure the accuracy, reliability, and completeness of data through effective data validation and monitoring processes
  • Develop and maintain our Data Vault, Data Warehouse, and Data Marts to deliver key metrics to operational and business stakeholders
  • Collaborate with a wide variety of users, including internal stakeholders, executives, clients, engineers, and external vendors
  • Improve and harden processes like code deployments, data validation, error handling/alerting, data democratization, and modernizing tech debt

You’ve Got This?

  • Bachelor’s Degree required (or equivalent experience); preference in Business Administration, Mathematics, Computer Science, or related field
  • Creative thinker who is intellectually curious, with a passion for solving puzzles and continuous learning
  • 8+ years technology experience with one or more of the following:
    • Amazon Relational Database Service (Aurora, MySQL)
    • Microsoft SQL Server
    • Snowflake
  • Exceptional SQL development and performance tuning skills
  • Strong experience with Python language, libraries, applications, and concepts:
    • Pandas
    • Streamlit
    • NumPy
    • Understanding of JSON and CSV
    • Requests
  • Experience with the following is a strong plus:
    • TMS, WMS, or other enterprise logistics platforms
    • Data Vault 2.0
    • Fivetran
    • Azure Data Factory
    • REST API
    • Proficiency in clouds platforms such as AWS, Azure, or Google Cloud
    • Coalesce.io
    • YAML
  • Experience with git, DevOps, and CI/CD is a strong plus
  • Self-starter, entrepreneurial, highly adaptable who can take initiative in a fast-moving environment.
  • Strong communication and leadership skills

What We Offer:

  • Access to experts and resources for your Learning & Development journey
  • Opportunity for internal mobility
  • Employee referral bonus program
  • Employee Resource Groups (ERGs)
  • Annual fundraising and volunteer events to give back to communities
  • Paid time off, floating holidays, time off to volunteer and rollover
  • Paid parental leave
  • Medical, dental, vision and 401k plans (with match)
  • Flexible spending account, mass transit and dependent care plans available
  • Health savings account, with a annual company contribution for plan participants
  • Short-term and long-term disability; life insurance policies subsidized by company
  • Additional benefits including pet insurance, accident care, access to legal advice and more

Work Schedule:

This position is full-time and remote Monday through Friday from 8:00 AM to 5:00 PM with an hour break, but flexibility is available based on coverage.

Compensation Range:

Salary Range:

$135,000 - $155,000

This position is eligible to earn annual incentives based on individual and company performance.

The estimated pay range reflects an anticipated range for this position. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job.

Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company’s needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual’s actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.

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