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DAT Freight & Analytics

On-demand freight marketplace with analytics

Staff Data Engineer

Data EngineeringPosted on Nov 8
Full-timeDenver, CO, USA

About the Job

Requirements

  • At least 7 years of relevant professional engineering experience, including a proven track record of building and operating large-scale distributed systems.
  • A bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
  • Strong data engineering background with dbt, Snowflake, Kafka, and cloud-based services including AWS S3, EMR, and Glue.
  • Hands-on experience with Terraform, Airflow, Tableau, MySQL, and Oracle.
  • Deep knowledge of professional software engineering practices across the full technology management life cycle.
  • Excellent verbal and written communication skills, with an interest in continuous learning and improvement.

Responsibilities

  • Lead the design and evolution of the modern data platform architecture to keep it scalable, available, and performant.
  • Apply advanced architectural patterns, including event-driven architecture, CQRS, event sourcing, and Saga patterns, to solve complex data challenges.
  • Develop, document, and communicate standard methods and processes for the technology stack, including dbt, Airflow, Snowflake, Kafka, and traditional ETL.
  • Partner with senior leadership on strategic data projects and build working relationships with IT leaders by providing technical insight and thought leadership.
  • Architect and manage enterprise-scale data platforms, setting development best practices for security, privacy, monitoring and alerting, and CI/CD.
  • Implement advanced data modeling strategies, including Kimball, Inmon, or Data Vault, and drive transition toward Data Mesh.
  • Provide solutions to complex business problems that enable better organizational decision-making.
  • Set and enforce best practices throughout the software development and technology management life cycle, including coding standards, code reviews, source control management, and testing.
  • Foster a culture of learning and excellence within the engineering organization.
  • Use data to prioritize work and influence others across the organization.
  • Implement changes and improvements to optimize the platform or processes.

Desired Qualifications

  • Experience with Agile.

About the Company

DAT Freight & Analytics

On-demand freight marketplace with analytics

DAT Freight & Analytics runs the DAT Network, North America’s largest on-demand freight marketplace, linking shippers who need to move goods with carriers who transport them and brokers who facilitate transactions. Its core offering is a subscription-based platform that includes a robust load board and analytics tools, with DAT iQ providing market intelligence to help plan and optimize freight operations. The company differentiates itself by the size of its network, its long history dating back to 1978, and its focus on data-driven optimization and automation. Its goal is to make freight matching more reliable and efficient by improving visibility, reducing uncertainty, and speeding up the transportation process for brokers, carriers, and shippers.

Company size
501-1,000
Company stage
Acquired
Total funding
Not listed
Headquarters
Beaverton, OR
Founded
1978

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