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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.
Job Responsibility:
Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones
Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards
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
Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation
Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance
Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company
Lead and mentor data engineers, analysts, and stakeholders across Skydio
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
2+ years in software engineering
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)
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
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
Nice to have:
Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real-world hardware
What we offer:
Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
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