About Us
LeoLabs is the world’s leading commercial provider of low Earth orbit (LEO) mapping and Space Domain Awareness (SDA) services. LeoLabs was founded in 2016 as a venture-funded spinout of Silicon Valley research pioneer, SRI International, by scientists and space industry veterans committed to securing Low Earth Orbit (LEO). LeoLabs is built on 30+ years of R&D in radar systems and satellite tracking algorithms. The team is rapidly expanding its global radar network and data services platform to help satellite operators deploy their services safely and to empower governmental space agencies with detailed visibility into the LEO ecosystem. As commercial space ventures and newly-formed space agencies from every corner of the globe compete for their place in the second space race, LeoLabs is here to address a new generation of risks and opportunities to preserve LEO for future generations.
The Opportunity
Join LeoLabs as a Senior Data Engineer to facilitate access to complex astrodynamics data and contribute to our machine learning and physical modeling validation infrastructure.
Responsibilities
● Lead the continued development of a secure, scalable data lake
● Integrate various data sources, including PostgreSQL databases and S3, into one data repository
● Collaborate with data scientists, engineers, and stakeholders to meet data needs
● Establish data governance policies: data quality, metadata management, access control
● Monitor data pipelines, conduct root-cause analysis, and resolve data issues
● Ensure data lake's high performance and availability for analytics and dashboarding
Qualifications
● B.S., M.S in Computer Science or equivalent experience
● 5+ years Data Engineering experience, focus on big data
● Expertise in data lake architectures and cloud platforms like AWS
● Excellent communication skills
● Proficiency in PostgreSQL and data pipeline tools like Apache Airflow
● Experience in ETL processes
● Strong Python coding skills
● Experience with Redshift
● Curiosity about astrodynamics
Preferred qualifications
● Space industry experience
● Spark pipeline experience
● Machine learning framework knowledge
● Strong analytical skills
Within 1 month, you’ll:
● Complete our onboarding program designed to get you up to speed on our business, vision and team
● Gain an understanding about how your role fits into LeoLabs broader organization
● Ramp up on LeoLabs engineering stack
Within 3 months, you’ll:
● Build initial data pipelines for critical projects
● Foster relationships with the data analytics team
● Integrate into the Machine Learning team
Within 6 months, you’ll:
● Expand data pipelines to a broader set of metrics
● Develop tooling for easier pipeline creation
Within 12 months, you’ll:
● Build tools for dashboarding pipeline creation
● Support algorithm development, validation, and deployment
Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location. The base salary range for this position $185,000 - 200,000
ITAR REQUIREMENTS
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S. Department of State. More information regarding ITAR can be found at DDTC’s website here.