Search the 29 jobs at DAT Freight & Analytics

The Data Analyst will perform analysis on transportation data, develop insights and reports for clients, lead problem-solving efforts, and enhance analytical tools. They will communicate with stakeholders for data integration and collaborate on projects.

The Corp IT Help Desk Lead is responsible for managing a team of Help Desk Analysts and IT Engineers, providing technical support for Windows and macOS systems, managing workloads, resolving user issues, and enhancing IT strategies. The role involves overseeing ticketing systems, coordinating with IT teams, and ensuring proper documentation and support for users.

The Platform Partnerships Manager will lead, grow, and manage the platform partnerships program by identifying and managing partners, executing go-to-market strategies, and analyzing performance metrics. Responsibilities include developing relationships with partners, ensuring their engagement, and optimizing partnership agreements to drive revenue growth.

As a Frontend Software Engineer at DAT, you will design and develop features, participate in code reviews, write tests, and leverage AWS for cloud-native solutions. You'll work closely with senior engineers to enhance software and operational effectiveness.

As the VP of HR, you will be responsible for shaping DAT's people strategy, fostering a culture of inclusion and engagement, and driving HR initiatives that align with the company's growth plans. You will collaborate with the executive team and serve as a strategic advisor on talent management.

The Analytics Consultant will work with the Data and Analytics team to enhance DAT's software solutions for the transportation logistics industry. Responsibilities include developing custom data solutions, collaborating with internal stakeholders, conducting market analysis, and improving data feed quality. The role requires engagement with customers to understand their needs and provide insightful recommendations based on data findings.

The Software Engineer will design and develop microservices for DAT's cloud-based SaaS platform, create APIs in REST and GraphQL, mentor junior developers, and establish best practices for software development. Responsibilities also include working with product managers to refine requirements and using AWS for deploying microservices.

As a Software Engineer at DAT, you will develop customer-facing software within a full stack TypeScript ecosystem, focusing on building microservices and creating user experiences. You will be involved in the entire development process from designing to deploying solutions in a collaborative, cross-functional team environment.

The Technical Engineering Manager will oversee the architecture and technical direction of software engineering teams, collaborating with product management and other stakeholders to create roadmaps, manage projects, and foster a high-performance culture. The role emphasizes Agile methodologies and involves mentoring developers to deliver high-quality SaaS products.

As a Software Engineer in Test, you will develop and maintain test automation frameworks, contributing to automated test scripts for microservices supporting DAT’s SaaS platform. Responsibilities include designing test cases, executing SQL test cases, conducting UI testing, analyzing results, and collaborating with development teams to resolve issues.

As a Junior Software Engineer, you will design and develop reliable, scalable, and maintainable software solutions using a full-stack TypeScript ecosystem. Your role involves creating microservices, user experiences, and participating in code reviews, all within a collaborative team focused on delivering value to customers.

As a Senior SDET, you will ensure the quality of the data platform by designing and implementing automated testing for data pipelines and ETL processes. You will collaborate with teams to develop test plans, manage CI/CD pipelines, and foster testing best practices while mentoring junior members.

The Full-Stack Software Engineer will design, develop, deploy, and maintain software features, implement best coding practices, and conduct code reviews. They will work closely with senior engineers and team members to enhance the development process and ensure high-quality backend and frontend software solutions, particularly leveraging AWS for cloud-native applications.

As a Staff Software Engineer at DAT, you will lead technical initiatives, mentor fellow engineers, and develop full-stack features. Your role involves building APIs, integrating with third-party partners, migrating legacy systems to a microservice architecture, and promoting best practices in software development. You will work in an AWS environment and assist with the architectural design and implementation of scalable solutions.

As a Senior Data Engineer at DAT, you will design and maintain scalable data infrastructure in AWS, support evolving data architecture, and implement data engineering patterns. Responsibilities include providing solutions for complex business problems, fostering a culture of learning, and mentoring team members.

As the Site Reliability Engineering Lead at DAT, you'll mentor SRE engineers, lead technical initiatives, respond to critical incidents, and provide guidance on cloud infrastructure, focusing on reliability goals and migrating legacy systems to modern solutions.

The Staff Engineer on the Platform Engineering team will oversee the design and implementation of DevSecOps practices for container and serverless platforms in AWS. This role involves technical leadership, collaborating with Principal Engineers, and delivering cohesive solutions across departments.

As a Staff Data Engineer - Lead at DAT, you will develop and maintain data infrastructure, focusing on reusability and scalability in AWS, implement known patterns in data architecture, and provide solutions to complex business problems to enhance decision-making.

As a Software Development Engineer, you will be responsible for the complete lifecycle of your code, from development and testing to deployment and maintenance. You will collaborate with team members, perform code reviews, and contribute to the design and implementation of cloud-native solutions on AWS, while ensuring code quality and documentation.

The Data Science Manager at DAT will oversee both data science research and machine learning engineering teams, ensuring alignment with business goals and managing the implementation of production-ready ML models. Responsibilities include strategic leadership, model management, infrastructure maintenance, cross-team collaboration, and project management.