Logistics Data Engineer information
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$55.2K - $61.5K
7% of jobs
$61.5K - $67.7K
12% of jobs
$68.1K is the 25th percentile. Wages below this are outliers.
$67.7K - $73.9K
12% of jobs
The median wage is $77.4K / yr.
$73.9K - $80.1K
25% of jobs
$86K is the 75th percentile. Wages above this are outliers.
$80.1K - $86.4K
15% of jobs
$86.4K - $92.6K
9% of jobs
$92.6K - $98.8K
6% of jobs
$105K - $111.3K
3% of jobs
$111.3K - $117.5K
2% of jobs
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.
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.
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.
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?
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