Senior Software Engineer, Data Platform

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.

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.

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.

Qualifications

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

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. 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 $180,000-240,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. 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. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.

*Compensation for certain positions may vary based on the position’s location.