Staff Data Engineer

Remote, Seattle, WA, United States, Chicago, IL, United States, San Diego, CA, United States

Flock Freight


Role Locations

  • Remote
  • Seattle, WA, United States
  • Chicago, IL, United States
  • San Diego, CA, United States

Employees

251 - 500 people

Address

240 S Cedros Ave Ste 200
Solana Beach, CA, 92075, US

Tech Stack

  • Java
  • TypeScript
  • React
  • Kubernetes
  • Python
  • Google Cloud Platform

Role Description

The Staff Data Engineer will be primarily responsible for driving the Data Platform roadmap of the Infrastructure team. The primary mission of this platform is to continue to democratize data access at Flock Freight in a unified way via Big Data technologies. The primary stakeholder of these products will be the Technology and Analytics teams consisting of analysts, data scientists and engineers. A successful engineer will collaborate closely with these teams to build a scalable and performant data platform and tooling to help scale the business.

Responsibilities:

Define Data platform roadmap in collaboration with Technology leadership and business stakeholders Define data needs from data science, analytics and product management into information to design relevant data platforms and tools to service these needs Design, develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity Design and implement production-grade data pipelines utilizing big data and distributed streaming technologies like Apache Kafka Improve data models that feed business intelligence tools, increasing data accessibility and fostering educated decision making across the organization Take ownership end-to-end, from defining the data architecture to implementing data models, pipelines, monitoring and quality assurance frameworks Write complex SQL queries and tune them for efficiency to quickly transform data into timely and actionable insights Qualifications:

5+ years of experience in data engineering and a proven track record of solving data problems at scale leveraging distributed data systems A good understanding of designing and building highly scalable Data warehouses, Data pipelines, Data Modelling, designing Data Lakes and Big Data Analytics using Nosql, and programming languages (like Python, Java, Scala) Expert in SQL and optimizing complex queries Proficient in programming in Python Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Experience working with dbt Excellent communication, collaborative demeanor and ability to work in distributed, multi-functional teams with the ability to articulate a point of view.

About Flock Freight

Our mission is to reimagine and reinvent the freight industry by relentlessly eliminating waste and inefficiency through algorithmic pooling. Pooled shipments do not pick up and deliver along inefficient LTL routes, reducing greenhouse gas emissions up to 40%.

Our proprietary product, FlockDirect, seamlessly pools multiple freight shipments on a single truck to create efficiencies for carriers, savings for customers, and a smooth experience for all. Our innovative algorithm would be nothing without our brilliant people, who obsess over growing our customer base, developing our carrier network, and improving our technology platform.

Flock Freight aims to fundamentally change the freight industry across North America with FlockDirect—one pooled shipment at a time.

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