Data Engineer
Brighton, Colorado
Applications have closed
Outrider
Autonomous yard operations have set a new standard. Yard automation transforms yard operations into an efficient, safe, and sustainable solution.
The companyOutrider, the pioneer in autonomous yard operations for logistics hubs, helps large enterprises improve safety and increase efficiency. The only company exclusively focused on automating all aspects of yard operations, Outrider eliminates manual tasks that are hazardous and repetitive. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation by deploying zero-emission systems. Outrider is a private company backed by NEA, 8VC, Koch Disruptive Technologies, and other top-tier investors. For more information, visit www.outrider.ai
The RoleThe Autonomous Vehicle (AV) Data Engineer will be responsible for the design, implementation and continuous improvement of the data pipeline that brings product performance data to the Engineering teams quickly and accurately, both from trucks testing at Outrider's test site and customer sites available to the Engineering teams.
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.
The RoleThe Autonomous Vehicle (AV) Data Engineer will be responsible for the design, implementation and continuous improvement of the data pipeline that brings product performance data to the Engineering teams quickly and accurately, both from trucks testing at Outrider's test site and customer sites available to the Engineering teams.
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 metrics and analysis of the Outrider system to 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.
- Drive and 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
Required qualifications
- 3 or more years' in Data Engineering in a related industry such as robotics, autonomous vehicles, or other automotive/aerospace products
- 1 or more years' experience working with and integrating AWS tools such as Lambda, Athena, API Gateway, Batch, Glue, and RDS
- Proficient with at least one general-purpose programming language, such as Python or Scala
- 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
- BS or MS in Engineering or Computer Science or a similar discipline
- Excellent written and verbal communication skills
- Strong analytical, curious mindset
- Sterling references
Ideal qualifications
- Experience with Spark/PySpark, Apache Arrow, and other big data tools
- Experience with Docker
- Experience creating cloud-based ETL workflows
- Experience with infrastructure-as-code platforms
- Experience with autonomous trucks or other automated distribution yard products
- Experience in ROS and ROS bag format
- Experience with C++ and Python
Compensation & benefits
- Salary range of $80,000 - 100,000. For benefits, check this out!
Tags: APIs Arrow Athena AWS Big Data Computer Science Docker Engineering ETL Industrial Lambda PySpark Python Robotics Scala Spark Testing
Region:
North America
Country:
United States
Job stats:
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Category:
Engineering Jobs
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