Company Introduction:
Airspace is a tech-enabled freight forwarder that’s redefining how the world’s most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands.
As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors.
Airspace has been rated one of America’s best Startup Employers , listed as one of CNBC’s Disruptor 50 companies, and featured as an Innovation and Disruption leader by CBS News. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m.
The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics.
As Senior Data Engineer, you will be the owner of all data infrastructure and ETL processes at Airspace. You will be responsible for ensuring our data pipelines are performant, scalable, and robust — and that they support our business needs today and as we grow.
This role is not just about building great infrastructure — it’s about being a great teammate. We’re looking for someone who brings technical excellence and positive energy to the team, who can lead without ego, teach without condescension, and collaborate with humility and clarity.
You’ll be the technical thought leader for data engineering: advising on architectural decisions, executing high-impact refactors, and setting the roadmap for how data flows through our systems. This is a high-impact, high-autonomy role reporting directly to the Director of Data Science and AI, with the opportunity to shape the future of our data platform.
Core Values:
From life-saving organs to essential machinery components, Airspace is trusted by the world’s largest companies and most critical healthcare organizations to move their most time-sensitive shipments on time, every time. Our proprietary AI-powered platform is the most advanced of its kind- awarded and protected by multiple patents, it provides speed, reliability, and transparency unrivaled in time-critical logistics. We are thinkers, builders, and doers; from building and deploying AI in the world to assembling a world-class operations team, Airspace is on a hypergrowth trajectory while remaining hyper-focused on the needs of our customers and team members.
With offices in the United States in Carlsbad, CA and in Europe in Amsterdam, Frankfurt, Stockholm, and London, we are rapidly scaling into new markets and industries while continuing to innovate and maximize value for our customers. Backed by leading investors including Telstra, HarbourVest, Prologis, Qualcomm, Defy, and others, Airspace has raised $140M to date.
Join our team of 300+ technologists, futurists, and industry veterans as we work as One Team to revolutionize time-critical logistics.
Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations.
For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.
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