Senior Software Engineer, Data Platform

Skydio • San Mateo, CA

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About The Position

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: We are looking for a foundational member of the Data Team to enable Skydio to make data-driven decisions and build data-centric products. You’ll build the systems that collect, transform, and store data from tens of thousands of autonomous drones, powering insights that make our vehicles smarter, safer, and more capable. You’ll have the opportunity to define our data architecture, champion modern tooling in Databricks and Palantir Foundry, and bring AI-assisted analytics to every corner of the company. This is not a back-office data role — you’ll be working on problems at the intersection of autonomy, AI, and massive-scale telemetry, helping Skydio turn raw flight data into intelligence that drives real-world impact! Examples of what you’ll help build: Predictive models that forecast hardware issues — like propeller or battery failures — before they happen, and automatically trigger the right mitigation steps. 3D maps of cellular and radio connectivity across the operational airspace, helping customers understand where their drones can safely and reliably fly. The company-wide data lakehouse that powers analytics, dashboards, and machine learning — built to be secure, scalable, and lightning-fast. AI-driven data tools that let anyone at Skydio explore data, uncover insights, and build pipelines for their use cases — all in a truly self-serve way.

Requirements

• 5+ years of professional experience, including 2+ years in software engineering and 2+ years in data engineering with a bias towards getting your hands dirty.
• Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications.
• Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness.
• Proficiency in SQL and at least one modern programming language (we use Python), and comfort working across the full data stack — from ingestion and transformation to orchestration and visualization.
• Strong communication skills, with the ability to collaborate effectively across all levels and functions — from engineers and analysts to senior leadership — and to translate data into clear narratives and decisions.
• Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization.

Nice To Haves

• Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics.
• Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real-world hardware.

Responsibilities

• Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones — reliably, efficiently, and with the scale to support the next generation of flight intelligence.
• Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards — turning raw telemetry into accessible, actionable insights.
• Develop data systems that make our products truly data-driven — from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis that sharpens drone performance.
• Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation — lowering the technical barrier and democratizing how teams access and build with data.
• Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance, keeping Skydio’s data lakehouse secure, performant, and cost-effective at scale.
• Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company — enabling faster, smarter decision-making and unlocking AI-driven insights end-to-end.
• Lead and mentor data engineers, analysts, and stakeholders across Skydio — guiding teams toward better architecture, more reliable data models, and a shared culture of excellence.
• Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems.

Benefits

• At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages.
• Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans.
• Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees