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Core Logistics Jobs in New York (NOW HIRING)

Red Clover HR

Lead Data Engineer

East Rutherford, NJ · On-site

Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins.

Red Clover HR

Lead Data Engineer

East Rutherford, NJ · On-site

$125K - $150K/yr

Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins.

Wurth Group

Logistics Coordinator

Wayne, NJ · On-site

$26.44 - $33.65/hr

The Würth Group has firmly established itself in the market in its core business, the manufacture ... Maintain shipment records and logistics documentation in accordance with company procedures and ...

Red Clover HR

Logistics Manager

New York, NY

$60K - $70K/yr

The Logistics Manager plays a critical role in ensuring the safe, efficient and professional ... Familiarity with FedEx interface and liaison with customer service Core Competencies * Customer ...

Formosa Plastics

Logistics Analyst I

Livingston, NJ · On-site

$62K - $85K/yr

Our core business, producing plastic resins and petrochemicals, takes place at three wholly-owned ... LOGISTICS ANALYST I POSITION OBJECTIVE The Logistics Specialist is responsible for supporting the ...

Flexible IT

Logistics Administrator

Hauppauge, NY · On-site

$50K - $60K/yr

Position Summary Flexible IT is seeking a highly organized, detail-oriented Logistics Administrator ... Core Competencies * Order accuracy and transaction management * Return and warranty processing ...

Formosa Plastics

LOGISTICS ANALYST

Livingston, NJ · On-site

$82K - $107K/yr

Our core business, producing plastic resins and petrochemicals, takes place at three wholly-owned ... LOGISTICS ANALYST Position Objective * Inquire about contract freight rates, review, and process ...

Roadtex Logistics

Account Manager - Core

Somerset, NJ · On-site

In 2022, Roadtex was acquired by Echo Global Logistics. The acquisition brings a truckload ... CORE ACCOUNT MANAGER RESPONSIBILITIES: * Serve as a strategic resource on our SMB client partners ...

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All JobsCore Logistics JobsCore Logistics Jobs in New York

Core Logistics information

See New York salary details

$37.7K

$83.5K

$143.9K

How much do core logistics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for core logistics in New York is $83,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $99,000.00 per year, depending on experience, location, and employer.

What is core logistics?

Core logistics refers to the essential processes and activities involved in the management of the flow of goods, information, and resources from the point of origin to the point of consumption. This includes transportation, warehousing, inventory management, order fulfillment, and distribution. Core logistics functions ensure that products are delivered efficiently, cost-effectively, and on time, which is vital for businesses to meet customer demands and remain competitive. These processes are fundamental to supply chain management and play a critical role in supporting overall business operations.

What are the key skills and qualifications needed to thrive as a core logistics professional?

To thrive as a Core Logistics professional, you need a solid understanding of supply chain management, inventory control, and logistics operations, often supported by a relevant degree or experience in logistics or business administration. Familiarity with logistics management software, ERP systems, and possibly certifications like APICS CPIM or CLTD is highly beneficial. Strong organizational, problem-solving, and communication skills help professionals manage complex workflows and coordinate across teams. These competencies are crucial for ensuring efficient movement of goods, minimizing costs, and maintaining customer satisfaction in a dynamic environment.

How does a core logistics professional typically collaborate with other departments to ensure timely deliveries?

Core Logistics professionals work closely with departments such as procurement, inventory management, sales, and customer service to coordinate the flow of goods and information. They often attend cross-functional meetings to address potential bottlenecks, align on delivery schedules, and troubleshoot issues in real-time. Effective communication and a proactive approach are essential, as logistics teams must often balance shifting priorities from multiple stakeholders while ensuring that deliveries are made on time and within budget.

What is the difference between Core Logistics vs Logistics Coordinator?

AspectCore LogisticsLogistics Coordinator
CertificationsSupply Chain Certifications, Logistics CertificationsSupply Chain Certifications, Logistics Certifications
Work EnvironmentWarehouses, Distribution Centers, Supply Chain OperationsOffice settings, Transportation hubs, Warehouses
Employer & Industry UsageManufacturing, Retail, Distribution companiesRetail, Manufacturing, Third-party logistics providers

Core Logistics involves managing the overall supply chain process, including planning, procurement, and distribution. Logistics Coordinators focus on coordinating shipments, tracking deliveries, and ensuring smooth transportation operations. While both roles require similar certifications and work in related environments, Core Logistics has a broader scope, overseeing entire supply chain functions, whereas Logistics Coordinators handle specific logistical tasks within that framework.

What are popular job titles related to Core Logistics jobs in New York?

For Core Logistics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Core Logistics jobs in New York look for?

The top searched job categories for Core Logistics jobs in New York are:

Core Logistics jobs near you
Infographic showing various Core Logistics job openings in New York as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $83,476 per year, or $40.1 per hour.

Lead Data Engineer

Red Clover HR

East Rutherford, NJ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description

Who We Are:
APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions.

About the Role:
Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business.
You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments.

About the Candidate:
You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible.

You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline.



Key Responsibilities
Data Platform & Warehouse Leadership
  • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform.
  • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins.
  • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance.
  • Lead data platform migrations, upgrades, and modernization initiatives as needed.
  • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required.
  • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery.
  • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems.
  • Partner with application and platform engineers on event design, instrumentation, and data contracts.
Analytics Engineering & Business Enablement
  •  Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting.
  • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics.
  • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.
Applied Data Science & Advanced Analytics

  • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis.
  • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows.
  • Serve as technical owner for data architecture, tooling selection, and platform standards.
  • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost.

Key Responsibilities:
Data Platform & Warehouse Leadership
  • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform.
  • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins.
  • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance.
  • Lead data platform migrations, upgrades, and modernization initiatives as needed.
  • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required.
  • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery.
  •  Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems.
  • Partner with application and platform engineers on event design, instrumentation, and data contracts.
  • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting.
  • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics.
  • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.
  • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis.
  • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows.
  • Serve as technical owner for data architecture, tooling selection, and platform standards.
  • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost.


Skills, Knowledge and Expertise

  • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems.
  • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment.
  • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions.
  •  Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks.
  •  Proficiency in Python or a similar language for data processing, modeling, and automation.
  • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions.
  • Strong systems thinking and the ability to design for reliability, performance, and cost control.
  • Demonstrated ability to translate business problems into effective technical solutions.
  • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred.


Core Competencies

Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Manages Complexity: Making sense of complex, high quantity, and sometimes contradictory information
Business Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goals
Financial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions