Senior Software Engineer - Data

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial transportation. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, and operational excellence to empower a broader, more diverse audience of drone users - from first responders to insurance claims adjusters, utilities, and more!

About the role:

At Skydio, we are pioneering the future of autonomous flight, developing the world’s smartest drones for a wide range of applications. In this role as a software engineer on our data team, you will play a key role in shaping how we collect, process, and utilize data from our drones, driving deeper insights into drone performance and customer usage. Your work will directly influence the performance, reliability, and safety of our products, helping us push the boundaries of autonomous technology.

How you’ll make an impact:

• Design, build, and maintain scalable data pipelines to ingest, process, and analyze large volumes of flight telemetry and other drone-related data.
• Collaborate with cross-functional teams to develop tools and frameworks that provide engineers with detailed insights into fleet-wide metrics and individual drone performance.
• Create intuitive, self-serve data tools that enable teams to easily access, explore, visualize and monitor drone data, facilitating faster decision-making and debugging without the need for manual intervention.
• Develop and manage a company-wide data strategy that standardizes how data is accessed, shared, and utilized across teams, ensuring alignment on best practices, tools, and governance.
• Leverage your experience and best practices to not only uphold but improve Skydio’s engineering standards.
• Actively contribute towards the 24/7 availability of Skydio's platforms by joining our rotating on-call schedule.

What would make you a good fit:

• You have 5+ years of experience in software engineering, particularly in domains involving data systems at scale.
• You are customer focused and love shipping products quickly that solve customer problems.
• You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
• You have experience building and delivering scalable and secure cloud based systems with a high proficiency in modern cloud technologies.
• Direct experience with our stack (Python, GraphQL, PostgreSQL, AWS, Databricks, Kubernetes).
• You are comfortable navigating and delivering within a complex codebase.
• Experience with Spark, DBT, Machine Learning, Data Pipelining, Robotics, or autonomous systems are all a plus.

Work Location: This role would be Hybrid 3 days a week in office out of our San Mateo, California office. We are quite flexible on the days but all employees would be expected to be able to commute to our office 3 days a week or would be open to relocation closer to the office.  We offer candidates relocation packages to help with this move.

Compensation: At Skydio, our compensation packages for full-time employees include competitive base salaries, equity in the form of options, comprehensive benefits, and various incentives and stipends. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - 258,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all full-time employees have the opportunity to significantly benefit from the company’s success.

*Compensation for certain positions may vary based on the candidate's location.

#LI-AS1

At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.

As such, we do not make hiring or other employment-related decisions on the basis of an applicant or employee’s race, color, ethnicity, national origin, citizenship, sex/gender (including pregnancy, childbirth, breastfeeding and related medical conditions),  gender identity or expression, age, religion, disability status, sexual orientation, marital status, medical condition, genetic information or characteristics, veteran, military or family status, or other classifications protected by applicable federal, state or local anti-discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/