Pivotal
Data Engineer - Flight Data (contract)
About this role
Pivotal seeks a Data Engineer to design and maintain a flight data warehouse that processes telemetry from their eVTOL aircraft fleet. You'll build end-to-end data pipelines that support critical airworthiness decisions across firmware, flight operations, and maintenance teams.
What you'll do
- Design and maintain the data model for the flight telemetry warehouse
- Build automated data pipelines that process continuous flight logs from customer and test aircraft
- Create fleet health monitoring alerts and dashboards for cross-functional teams
- Develop and deploy infrastructure as code for data pipeline services
- Implement monitoring and alerting systems for pipeline health and failures
- Support firmware, GNC, battery, and MRO teams with curated datasets for analysis
What they're looking for
- Data warehouse design and optimization
- ETL/ELT pipeline development
- Infrastructure as code (Terraform, CloudFormation, or similar)
- Monitoring and observability tools
- SQL and data modeling
- Python or similar data processing language
- Cloud platforms (AWS, GCP, or Azure)
- Airflow or comparable workflow orchestration
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Pivotal
Pivotal develops innovative electric Vertical Takeoff and Landing (eVTOL) aircraft, including models like BlackFly and Helix, with a focus on aeromechanical systems, flight control, and autonomous capabilities. The company is hiring verification engineers, quality engineers, motor controls engineers, firmware engineers, and computer vision engineers to advance aircraft performance, safety, manufacturing quality, and autonomous perception systems.
View all jobs at PivotalLikely interview questions
- Walk us through how you'd design a data model to handle continuous high-volume telemetry streams from distributed aircraft.
- Describe your experience building end-to-end data pipelines—what tools did you use and how did you ensure reliability?