Data Engineer

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.

Leveraging a comprehensive range of services, data-centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid-market segment within the freight tech industry.

Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

As a Data Engineer working within Shared Services (one of our entities),?you will be responsible for designing, developing, and maintaining scalable data pipelines, a data vault, and various data warehouses and marts. You will work with stakeholders across all departments to deliver key metrics across a variety of functional areas.

• Design, develop, and maintain robust data pipelines from various TMS and other data sources.

• Design and implement new data structures or extend existing structures to support evolving business requirements

• Develop and maintain our Data Vault, Data Warehouse, and Data Marts to deliver key metrics to operational and business stakeholders.

• Collaborate with a wide variety of users, including internal stakeholders, executives, clients, engineers, and external vendors.

• Bi-lingual in English/Spanish; proficient level for verbal and written communication

• Bachelor's Degree required (or equivalent experience); preference in Business Administration, Mathematics, Computer Science, or related field

• Creative thinker who is intellectually curious, with a passion for solving puzzles and continuous learning

• 5+ years technology experience with one or more of the following:

• Amazon Relational Database Service (Aurora, MySQL)

• Microsoft SQL Server

• Snowflake

• Exceptional SQL development and performance tuning skills

• Experience with the following is a strong plus:

• TMS, WMS, or other enterprise logistics platforms

• Data Vault 2.0

• Fivetran

• Azure Data Factory

• REST API

• Proficiency in clouds platforms such as AWS, Azure, or Google Cloud

• Self-starter, entrepreneurial, highly adaptable who can take initiative in a fast-moving environment.

• Strong communication skills