Senior Cloud Data Engineer - Telemetry & Edge

Anduril Industries; Seattle (WA); On-site; USD 152,000 - 253,000; Full time

Benefits offered by this job

Equity grants

Comprehensive benefits

Job summary

Anduril Industries is seeking an engineer for the Robotics Data Foundation to design and build cloud systems that host ingestion, storage, and tooling for vehicle telemetry from onboard systems to the cloud. The role makes data discoverable, searchable, and analyzable across the fleet.

You will normalize data across flight controllers and vehicle systems, exposing it to downstream analysis tools, and support large-scale batch ingestion as well as low-latency streaming for real-time insights.

Qualifications

• Experience with lakehouse architectures (Iceberg, Delta Lake) and ETL systems.
• Experience developing high-throughput streaming data pipelines.
• Strong programming experience in Python, Java, Rust, or Go.
• Experience with cloud systems and containerization tooling (Docker, Kubernetes, GitOps).
• U.S. Person status and ability to obtain a US Top Secret clearance desirable.

Responsibilities

• Build reliable cloud data systems handling high volumes of telemetry.
• Design extensible telemetry and data architectures for diverse sources.
• Enable real-time data-driven engineering with live streams and batch data.
• Develop cloud-native, edge-compatible data platforms for offline use.
• Collaborate with customer teams to meet specific data requirements.

Skills

Lakehouse arch

ETL systems

Distributed processing

Python

Rust

Go

Java

Cloud systems

Docker

Kubernetes

GitOps

Security clearance

Tools

Spark

Trino

Airflow

Dagster

Flyte

Argo Workflows

Job description

Anduril Industries is seeking an engineer for the Robotics Data Foundation to design and build cloud systems that host ingestion, storage, and tooling for vehicle telemetry from onboard systems to the cloud. The role makes data discoverable, searchable, and analyzable across the fleet.

You will normalize data across flight controllers and vehicle systems, exposing it to downstream analysis tools, and support large-scale batch ingestion as well as low-latency streaming for real-time insights.