
Ocean Trade Logistics Engineer
Clark, NJFull-time$67K/yrSeen 1 day agoSeen in employer's feed 1 day ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Ocean Trade Logistics Engineer designs and analyzes ocean trade operational solutions for transportation and shipment optimization, cost containment, and capacity enhancement. The role oversees end-to-end ocean export operations and collaborates with account owners on budget-conscious customer solutions. It analyzes shipment and logistics data, develops ETL automation and dashboards, applies predictive analytics, and works with IT teams to improve logistics software data flow.
Skills & qualifications
Skills
Qualifications
Full job description
Experience Required
3 months’ experience
Minimum Education Required
Bachelor’s degree
Compensation
$67,020.00 - $67,020.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Shift
First Shift (Day)
Job Description
Ocean Trade Logistics Engineer
Design and analyze ocean trade operational solutions for transportation optimization, methods analysis, cost containment, capacity enhancement, routing and shipment optimization. Responsible for oversight of end-to-end ocean export operations, including dispatching, booking, documentation, and partner coordination. Ensure on-budget execution and high service standards in collaboration with account owners, proposing logistics solutions for customers that are within budget. Identify cost-reduction or process-improvement logistic opportunities. Conduct logistics analyses, such as time studies, rate analyses, and supply chain analyses, utilizing Power BI, Python, and SQL to analyze worldwide ocean shipment data, create dynamic dashboards, and deliver insights. Review global oceanic transportation logistics reports for ways to improve efficiency and minimize the environmental impact of logistics activities and design comprehensive supply chains that minimize environmental impacts and costs. Develop Python scripts to automate ETL processes, enhancing efficiency and data accuracy. Apply predictive analytics to optimize supply chain strategies and mitigate risks. Analyze or interpret logistics data involving customer service, forecasting, ocean transportation, and warehousing. Work with IT teams to enhance data flow within logistics software. Adhere to company policies and SOPs to ensure operational efficiency and risk mitigation.
Requirements: Bachelor’s degree in Analytics plus 3 months’ experience as a data engineer or related occupation that combined provided a background that included business intelligence projects, data engineering and risk management. Must have an in-depth knowledge of predictive analytics, data warehousing and management and data mining applications.
Offered salary: $67,020 per year
Respond to: Simon Rego, Lavinstar America Inc, 100 Walnut Avenue, Suite 503, Clark, NJ 07066.
Place of Work
On-site
Requisition ID
Job Type
Full Time
Application Instructions
Respond to: Simon Rego, Lavinstar America Inc, 100 Walnut Avenue, Suite 503, Clark, NJ 07066.
How this job compares
Set against the 6,268 open Data Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$67K/yr
- New Jersey median$125–195K/yr137 salary ranges
- US median$122–208K/yr4,899 salary ranges
This rate, $67K, is 60% below the New Jersey median midpoint ($166K) — in the lowest quarter of Data Engineer salary ranges in New Jersey.
- Openings
- Olive Jobs lists 161 open Data Engineer jobs in New Jersey and 6,268 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in New Jersey
- Deloitte36 open
- JPMorgan Chase15 open
- Accenture9 open
- Experience
- This posting asks for no prior experience — less than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,485 postings).
- Education
- This posting asks for a bachelor's degree; 2,402 of the 6,268 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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