The Company

We are excited to partner with a leading freight-shipping organization decarbonizing the freight industry by re-imaging existing processes and creating maximum efficiency. The freight industry is infamous for inefficiencies, that in some cases are almost 100 years old. This is a mission-driven company seeking to reinvent North America's $2-trillion dollar freight industry by eliminating waste and inefficiency.

Do you want to make the world a better place and tackle new, exciting challenges while disrupting an industry? Do you want to solve complex problems in cloud deployments or vehicle routing on an unmatched product engineering team? Following their recent Series D funding round, the company's valuation has surpassed $1 billion, also being the first B Corp in this industry!

Your Impact

Our client is looking to hire a Senior Data Engineer to drive the Machine Learning Data Product roadmap of the Infrastructure team. You will build critical products and infrastructure to democratize access to data and empower the core optimization team composed primarily of Data Scientists and Machine Learning engineers. You will collaborate closely with the Optimization team and act as a value multiplier by facilitating production-grade data pipelines, base-feature sets, as well as operating feature stores.

• Build a unified feature store to enable rapid and reliable development by data scientists and machine learning engineers
• Write complex SQL queries and tune them for efficiency to quickly transform data into timely and actionable insights
• Design and implement production-grade data pipelines utilizing big data and distributed streaming technologies like Apache Kafka

About You

• Bachelor's degree in Computer Science or related field
• Deep understanding of data pipelines and data science workflows
• You’ve built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems
• Experience building machine learning systems in production such as enabling data analytics at scale
• Exposure to machine learning workflows - you've developed and deployed your own models - even if these are simple proof of concepts
• Systems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems

Benefits include: Unlimited PTO, Health / Dental / Vision insurance, Stock Options, 401k vesting options, Flexible Spending Account for medical expenses, Commuter benefits, Electric car reimbursement, Tech reimbursement, Parental leave, Office perks