Lead Data Engineer

Hadrian - Manufacturing the Future
Hadrian builds autonomous, software-defined precision component factories that help our customers make rockets, satellites, jets & eVTOLs 2x faster and cheaper.
Getting precision components on time, quickly is the #1 problem for customers in the space, medical devices, fusion, semiconductor, defense & carbon removal industries - in total, a $60B market in the US alone. 
Join our growing team to build the factory of the future and lay the groundwork for a Spacefaring, post-scarcity, carbon neutral world. Our tech already makes us >50% more efficient than legacy competitors and we need you to help us build, automate and launch Factory v1.
We've raised >$100m to achieve this vision, with multiple rounds from Lux Capital, A16Z, Founders Fund, Construct Capital, Caffeinated Capital and more.
At Hadrian, manufacturing automation and efficiency optimization will be driven by data. Data is at the epicenter of what we do. We are looking for passionate, skilled, enthusiastic data engineers to help us build, automate and launch the factory of the future. As a key member of the Data Engineering organization, you will spearhead data-driven architectures and solutions to a number of manufacturing processes across the factory. You will work with a number of cross-disciplinaries including (but not limited to) Robotics/Mechatronics Engineers, CNC Machinists, CAD/CAM programmers and Manufacturing Quality Assurance experts, with the intention of creating mechanisms to capture the data from the processes managed by these specialists and leveraging information to automate optimize precision component factories.

What you will do

• Conceptualize and own the data architecture for multiple large-scale projects at Hadrian, while evaluating design and operational cost-benefit tradeoffs within systems.
• Create and contribute to data frameworks that span on-premises and cloud infrastructure improve the efficacy of logging machine data, while working with data infrastructure to triage issues and resolve.
• Collaborate with machine engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
• Solve our most challenging machine data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
• Assist in owning existing machine data integration processes running in production, optimizing code through advanced algorithmic concepts.
• Influence product and cross functional teams using best of breed technical solution design and create a culture of feedback driven improvement

You will be successful if you are

• 5+ years of experience in data engineering, software engineering, applied data science or similar field
• Bachelors in CS, EE, Stats, Math, Physics or other related field
• Must have a deep understanding and experience with engineering best practices
• Expert in Python
• Very strong experience with databases, NoSQL and SQL
• Ability to iterate quickly and adaptable
• Solution driven mindset
• Driven to find answers to questions that possibly may not have been asked ever before

This puts you over the top

• Master’s degree
• Exposure to Machine Integration API style data integration
• Experience with data product vendor landscape for tool evaluation and selection
• Experience in creating visualization for data analytical needs
• Expertise in managing data around regulatory conformances

ITAR REQUIREMENTS:
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.