Data Engineer

Flock Freight is a FreightTech company that uses patented technology to move freight more efficiently, reliably, and sustainably. The company’s guaranteed terminal-free truckload service, FlockDirect, finds the best options to pool freight among billions of possible combinations, optimizing routes while finding and filling trucks’ empty spaces. Shipments stay safe in a single truck, driven by a single driver, all the way to their destination allowing shippers to only pay for the space they need and enabling carriers to earn more from every linear foot of capacity — all while slashing carbon emissions by up to 40% compared to traditional shipping methods.

Flock Freight has been a Certified B Corp since 2020, meeting high social, environmental, transparency, and accountability standards to all of our stakeholders.

About the Role:

Flock Freight is looking for an exceptional engineer who is passionate about building the data infrastructure that enables the development and maintenance of complex analytical and data science processes. The data engineering team empowers the rest of the organization to access and act on data as effectively as possible to make the freight world a better place.  A successful engineer will collaborate closely with data consumers to build a data platform and tooling to help scale the business.

Responsibilities:

• Build and maintain scalable, maintainable, data transformation pipelines using Python and dbt to power the whole company's data science and analytics needs 
• Stand up new low-latency data processing infrastructure to provide clean data to machine learning models
• Apply software engineering best practices to the development, testing, and deployment of data systems and tooling
• Introduce and improve workflow orchestration and automation processes
• Identify, synthesize, and prioritize stakeholder requirements and opportunities for improvements to existing systems
• Define and demonstrate patterns for writing, documenting, and distributing data transformation code
• Participate in incident response for production data systems and monitoring automation
• Help maintain secure data governance and access policies
• Write and maintain detailed but clear technical documentation

Qualifications:

• 1 to 3 years of experience working as a data engineer or in dedicated data engineering coursework
• Experience working on complex data pipelines using SQL (preferably Snowflake) and Python
• Experience using popular data transformation frameworks like dbt or SQLMesh
• Understanding of data modeling strategies for both transactional and data warehousing workloads
• A solid conceptual grasp (and preferably hands-on experience with) orchestration frameworks like Airflow, Dagster, Prefect, or similar
• Familiarity with cloud data architecture such as asynchronous messaging (Kafka, Pub/Sub, or similar), HTTP(S), REST, S3, and data storage formats such as Avro, Parquet, and Iceberg
• Familiarity with common statistical, data visualization, and machine learning use cases, and preferably experience with popular cloud BI tools such as Mode, Sigma, or Looker
• Exceptional problem solving, analysis, decomposition, and communication skills applied within an agile development environment
• Excellent communication, collaborative demeanor and ability to work in distributed, multi-functional teams with the ability to articulate a point of view.
  
  Important Note: We require verification of an individual’s legal right and eligibility to work in the United States. Please note, this position is based in Encinitas, CA, and is not open to remote work at this time.
  

  The expected on-target earnings range for this position is $120,000.00 - $135,000 per year. This range reflects typical earning potential in this role. When determining an offer, we take into account a variety of factors that are important in making compensation decisions including, but not limited, to: skill sets; experience and tenure; education and certifications; and other business and organizational needs. The disclosed range estimate is based on market data. Salary bands may, in some circumstances, be adjusted to a different geographic area depending on the candidate's position and location.

  In addition to salary, full-time employees are also eligible for an equity package and our competitive benefits that support you and your family as part of your total rewards package at Flock Freight. Our policy is that we target candidates local to one of Flock Freight’s headquarters location (Encinitas, CA)

Life & Benefits of the Flock:

• Hybrid Work Model: As an organization we value in-office collaboration, working cross-functionally, and winning together. Through scheduled in-office and work from home days, we are able to work more efficiently and collaboratively.
• 401(k) Employer Match: We know Flock may just be a stepping stone in your epic journey, but we want to be sure you’re setting your future self up for success! For that reason, we provide a 401(k) plan that offers a 4% employer match.
• Medical, Dental & Vision: Generous coverage for employees and dependents. Both HMO and PPO options provided.

Our promise to you:

Flock Freight is committed to creating an environment that’s fair and inclusive. We fill our open positions based on qualifications, merit, and business needs. We value the skills of people from all backgrounds and are proud to hire, promote, and retain talent from a diverse candidate pool. Diverse perspectives are central to innovation at Flock Freight and make our team better. We're interested in your inherent abilities, not just the skills you bring from your last role - if you think you have what it takes to succeed in the role but don't check every box, please still get in touch. We'd love to start a conversation with you.

Flock Freight has zero tolerance for behavior that negatively impacts marginalized groups, including women, people of color, veterans, immigrants, people with disabilities, and members of the LGBTQIA+ community. We invite people of all identities to join the Flock!