1

Freight Engineer Jobs in Texas (NOW HIRING)

MINIGRIP - LOGISTICS ENGINEER

Seguin, TX ยท On-site

$90 - $120/hr

The Logistics Engineer is a critical member of the Supply Chain team responsible for planning ... This role serves as the primary liaison between overseas suppliers, freight forwarders, customs ...

New

TMO Freight Traffic Supervisor Belong, Connect, Grow, with KBR! - At KBR, we are passionate about ... We provide program management, civil engineering, morale, welfare, and recreation support, among ...

The Logistics Supply Chain Engineer collaborates with Control Tower teams, Client operational stakeholders, and the broader program team to execute structured improvement initiatives across freight ...

Rail Engineer

El Paso, TX ยท On-site

$60K - $90K/yr

Wilson & Company is seeking a Rail Engineer with experience in freight rail, rail track, terminal/intermodal, and related civil infrastructure design. This role will support rail projects from ...

Wilson & Company is seeking a Rail Engineer with experience in freight rail, rail track, terminal/intermodal, and related civil infrastructure design. This role will support rail projects from ...

Wilson & Company is seeking a Rail Engineer with experience in freight rail, rail track, terminal/intermodal, and related civil infrastructure design. This role will support rail projects from ...

Rail Engineer

Fort Worth, TX ยท On-site

$60K - $90K/yr

Wilson & Company is seeking a Rail Engineer with experience in freight rail, rail track, terminal/intermodal, and related civil infrastructure design. This role will support rail projects from ...

Showing results 21-40

Freight Engineer information

See Texas salary details

$33.1K

$89.5K

$156.5K

How much do freight engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for freight engineer in Texas is $89,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $100,600.00 per year, depending on experience, location, and employer.

What is a freight engineer?

A Freight Engineer is a professional who designs, optimizes, and manages systems for transporting goods efficiently and safely. They analyze shipping routes, develop logistics solutions, and work with various stakeholders to ensure timely deliveries while minimizing costs and environmental impact. Freight Engineers may also implement technology and automation to improve freight operations and address challenges such as capacity, regulations, and sustainability within the supply chain.

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

To thrive as a Freight Engineer, you need a solid background in logistics, transportation planning, and supply chain management, often supported by a degree in engineering or a related field. Familiarity with logistics management systems (LMS), route optimization software, and relevant certifications such as Six Sigma or APICS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help differentiate top professionals in this role. These skills are crucial for designing efficient freight systems, reducing costs, and ensuring timely and reliable delivery within complex transportation networks.

How does a freight engineer typically collaborate with logistics and operations teams to optimize transportation solutions?

Freight Engineers work closely with logistics coordinators, operations teams, and sometimes clients to design and implement efficient transportation solutions. They analyze shipment data, routes, and carrier performance, then recommend improvements to reduce costs and enhance delivery timelines. Regular meetings and data sharing are essential, as Freight Engineers rely on input from operations to identify bottlenecks and test new strategies. This collaborative environment helps ensure that proposed engineering solutions are practical and aligned with real-world logistics challenges.

What is the difference between Freight Engineer vs Rail Signal Engineer?

AspectFreight EngineerRail Signal Engineer
CredentialsRelevant engineering degree, certifications in freight or transportation systemsElectrical or electronics engineering degree, certifications in signaling systems
Work EnvironmentFreight yards, transportation hubs, railroadsRailway control centers, trackside signaling systems, maintenance facilities
Employer & IndustryFreight rail companies, logistics firmsRailway operators, transit authorities
Common Search & ComparisonYesYes

While both Freight Engineers and Rail Signal Engineers work within the rail industry, Freight Engineers focus on the operation and safety of freight trains, including train handling and logistics. Rail Signal Engineers specialize in the design, installation, and maintenance of signaling systems that control train movements. Understanding these differences helps job seekers identify the right career path based on their skills and interests in rail operations or signaling technology.

What cities in Texas are hiring for Freight Engineer jobs?

Cities in Texas with the most Freight Engineer job openings:

Infographic showing various Freight Engineer job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $89,539 per year, or $43 per hour.

Sr Data Tech Lead - Trading and Supply Freight Data Platform

Engineers and Constructors International Inc.

Houston, TX โ€ข On-site

$130/hr

Contractor

Re-posted 5 days ago


Job description

Join the ECI Group's Professional Technical Services Network as a contract Sr Data Tech Lead - Trading and Supply Freight Data Platform.  This is a Houston based contract role with an anticipated 6-month duration with an estimated start date of July 1st.  Note: You must be a US Citizen or Permanent US Resident to qualify for this position. 
About the Role

As a Data Tech Lead, you will provide end-to-end leadership across architecture, engineering, governance, and capability development.
You will:
  • Deliver sustainable and innovative solutions to unlock value from data.
  • Lead the architecture, Design and implementation of on-premises/cloud-based application development and Data solutions.
  • Engage cross-functional teams to support project stakeholders in delivering data scope and operational excellence.
  • Drive governance, metadata management, Data Modelling, cost optimization, high-volume performance tuning and agility in delivery.
  • Engage effectively with senior leadership, resolve conflicts proactively, and represent the data organization with confidence and clarity.
Key Responsibilities
Leadership & Strategy
  • Drive the architecture, design, and delivery of Data ecosystems for futuristic data platform.
  • Define data product roadmaps and drive development of data solution using approved tech stack and related technologies.
  • Align data engineering initiatives with long-term business and technology strategies.
  • Provide technical leadership to ensure adherence to best practices, standards, and quality expectations.
Technical Oversight
  • Lead data modelling and architecture using tools such as SAP PowerDesigner and WizDesign.
  • Develop and optimize intelligent, AI‑augmented data pipelines across ADF, ADLS, Databricks, DLT, and Structured Streaming to enable high‑performance data delivery.
  • OLTP schema design, normalization, indexing strategy, Performance tuning for transactional systems
  • Transaction management, concurrency, deadlocks
  • PostgreSQL, MySQL, SQL Server expertise (depending on Shell standards)
  • Optimize Databricks workloads with a strong focus on performance and cost efficiency.
  • Implement robust security, governance, lineage, and metadata controls using Unity Catalog.
  • Troubleshoot pipeline issues, ensure high data quality, and enforce SLA compliance.
Governance & Quality Assurance
  • Establish data governance frameworks covering security, privacy, quality, and lifecycle management.
  • Monitor pipeline performance and lead root cause analysis for data and process issues.
  • Drive CI/CD and touchless change management frameworks to enable seamless deployments.
Stakeholder Management
  • Collaborate closely with PMs, BAs, Data Scientists, Architects, and business stakeholders.
  • Translate complex technical concepts into business terms for executive audiences.
  • Resolve conflicts and ensure alignment across strategic priorities.
  • Stakeholder management & executive communication
Required Skills & Experience
Technical Expertise
  • 12–17 years of experience in data engineering, data architecture, or analytics platforms.
  • Deep expertise in:
    • Azure Data Engineering (ADF, ADLS, Databricks, , DLT), AZURE Function, SQL, REST/FAST API, LogicApps
    • Databricks Delta Live Tables & Structured Streaming
    • Unity Catalog governance and lineage
  • Strong hands-on skills in SQL, Python, Spark/Scala.
  • Strong experience in data modeling, data architecture, and metadata management.
  • CI/CD for application delivery (Azure DevOps/GitHub Actions)
  • Containerization (Docker), Kubernetes basics
  • API gateway, reverse proxies, load balancing
  • Solution Data Architecture,  Data Modeling tools like SAP PowerDesigner, BiZ Design
AI & Future-Ready Skills
  • Working knowledge of AI/ML, GenAI, Agentic AI, and applying AI for data engineering automation.
  • Ability to envision and build future-ready, scalable data ecosystems.
Soft Skills / Leadership Competencies
  • Proven ability to lead mid-sized to large technical teams.
  • Strong decision-making capabilities backed by data.
  • Exceptional communication and executive presentation skills.
  • Conflict management and stakeholder alignment experience.
  • High accountability, ownership, and ability to drive independent outcomes.
  • Adaptability and continuous learning mindset.
Nice to Have
  • Experience with Kafka, Hadoop, Spark Streaming.
  • Experience with workflow tools like Airflow, Azkaban, Luigi.
  • Knowledge of PowerBI/QlikSense visualizations.
  • Certifications in Azure Data Engineer, Databricks, AI/ML, or Data Science.
  • Experience with GitHub/Azure DevOps, CI/CD, Agile/Kanban methodologies.
  • Understanding of Freight Domain like Voyage Management, Chartering, Freight Pricing, Demurrage, Laytime, Port calls, Vessel scheduling
  • Integration with RightAngle, Endur, Veson IMOS or internal Shell Freight systems
  • Knowledge of T&S business processes
Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice.

Powered by JazzHR

UFZBZDO0pk