The Role
The Senior Data Engineer will be responsible for the design, implementation and continuous improvement data pipelines that brings product performance data to the Engineering, Test Engineering, and Business teams quickly and accurately. Data flows from trucks testing at Outrider's test site and customer sites.
This position plays an essential role in helping deliver a safety-critical system for industrial automation. The opportunity offers a very talented, self-starting engineer the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a software-as-a-service (SaaS) business model.
The ideal candidate will embrace our goal to drive zero-emission, self-driving vehicle adoption, and help us realize our potential to define, build, and lead a new category of robotic automation for the enterprise.

Duties and Responsibilities
● Design, implement, and improve all aspects of the data pipeline, from ingestion through analysis to visualization, to bring the right data to the right internal customers.
● Work cross-functionally with other teams at Outrider to ensure the data pipeline
(including on the cloud) serves the various internal and external customers of Outrider
data.
● Help to advise the Engineering teams on how to approach data engineering and
analytics, and be an advocate for data-driven decision making at all levels of Outrider by
providing data tools that are clean and reliable.
● Work with the team to understand and prioritize development and sustainment projects and drive toward a product that meets all customer, business, and technical
expectations.

● Collaborate and mentor other junior data engineering team members and participate in
peer design and code reviews.

Required Qualifications
● Demonstrated experience creating automated, reproducible data pipelines and working with complex, large data sets
● 4+ years working in Data Engineering
● 1 or more years experience working with and integrating AWS tools such as Lambda,
Athena, API Gateway, Batch, Glue, and RDS
● Experience with Big Data technologies such as Data Warehouses or Data Lakes.
● Experience with relational databases
● Experience creating cloud-based ETL workflows
● Proficient in Python
● Comfortable working with APIs to access data from a variety of sources
● Experience with the software development life cycle, modern software/hardware/system testing methods, and continuous integration
● Self-motivated and able to identify and fix issues before they become blockers
● Excellent written and verbal communication skills
● Strong analytical, curious mindset

Ideal Qualifications
● Experience working with server-less systems
● Experience with Docker
● Experience with robotics, autonomous trucks or other automated distribution yard
products
● Experience in ROS and ROS bag format (or timeseries data)
● Experience with Python