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Logistics Data Engineer Jobs (NOW HIRING)

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... logistics, or sales data domains is highly preferred. • Familiarity with modern data engineering tools and technologies such as Databricks, Delta Lake, Spark, Unity Catalog, Airflow, Azure Data ...

New

Demonstrated experience using LSA data to develop either technical data, technical publications ... We are seeking a Logistics Engineer with an active U.S. Government Secret Security Clearance to ...

Data Engineer

Westerville, OH · On-site

$111K - $133K/yr

Design, build, test, and maintain data pipelines that integrate operational, logistics, customer ... Work with analysts, product managers, engineers, finance, operations, and other business partners ...

Data Engineer, CX

San Francisco, CA · On-site

$180K - $260K/yr

As our newest Data Engineer , you'll build and scale the systems that power data-driven decisions ... Lead the CX and Logistics Data Domains . Act as the data owner for our Customer Experience (CX) and ...

Data Engineer

Fort Belvoir, VA · On-site

$129K - $155K/yr

D&G is seeking a Data Engineer to support the Defense Logistics Agency's Applied Research and Testing Emerging Technologies (ARTET) program. This role focuses on building and maintaining modern data ...

The Logistics Engineer is a critical member of the Supply Chain team responsible for planning ... Strong analytical skills with the ability to interpret freight data, transit metrics, and cost ...

The Logistics Engineer is a critical member of the Supply Chain team responsible for planning ... Strong analytical skills with the ability to interpret freight data, transit metrics, and cost ...

Data Engineer

Fort Belvoir, VA · On-site

$125K - $150K/yr

G is seeking a Data Engineer to support the Defense Logistics Agency's Applied Research and Testing Emerging Technologies (ARTET) program. This role focuses on building and maintaining modern data ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

We bring 120 years of successful mission support to improve security, streamline logistics, and ... Responsibilities As a Data Engineer, you are responsible for designing data models, building data ...

Who We Are Arrive Logistics is a leading transportation and technology company in North America ... Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Who We Are Arrive Logistics is a leading transportation and technology company in North America ... Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Who We Are Arrive Logistics is a leading transportation and technology company in North America ... Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ...

Showing results 41-60

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.

Data Engineer

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted yesterday

New


Job description

Looking for candidates regarding the following:

POSITION

Data Engineer

LOCATION

Dallas, TX

DURATION

6 Months

INTERVIEW TYPE

on-site interview

VISA RESTRICTIONS

Must be able to convert without sponsorship

REQUIRED SKILLS

 Required Skills:

• Must have strong hands-on experience working with Databricks, SQL, and Python to build, support, and optimize enterprise data pipelines in production environments.

• Proven expertise in writing advanced SQL queries using joins, window functions, CTEs, and performance tuning techniques to deliver high-quality and scalable data solutions.

• Strong Python development experience using PySpark and pandas for data processing, automation, transformation, and pipeline development.

• Hands-on experience designing and supporting Medallion Architecture, including Bronze, Silver, and Gold data layers to ensure trusted and well-governed analytical datasets.

• Experience with data warehouse and database modeling, including dimensional modeling, normalized schemas, and designing structures that support reporting and analytics.

• Strong understanding of data engineering best practices including data quality validation, monitoring, automated testing, troubleshooting, documentation, and production support.

• Experience developing, maintaining, and optimizing data pipelines while performing root-cause analysis and resolving data issues in complex environments.

• Ability to work closely with Data Engineers, Analysts, and business stakeholders to translate business requirements into scalable data solutions and trusted datasets.

• Experience working with retail, wholesale distribution, supply chain, inventory, merchandising, pricing, logistics, or sales data domains is highly preferred.

• Familiarity with modern data engineering tools and technologies such as Databricks, Delta Lake, Spark, Unity Catalog, Airflow, Azure Data Factory, Snowflake, Redshift, or BigQuery is a strong plus.