Cloud Data Engineer, Robotics Telemetry & Foundation

Anduril Industries, Inc.; Boston (MA); On-site; USD 191,000 - 253,000; Full time

Job summary

Anduril Industries, Inc. seeks an engineer for the Robotics Data Foundation to design and build cloud data systems.

You will ingest, store, and expose vehicle telemetry data across fleets, enabling searchable and analyzable data for downstream tools and real-time insight. You will work on high-throughput pipelines and extensible data architectures, with edge-compatible cloud-native solutions for offline environments.

Qualifications

• Experience with lakehouse architectures (Iceberg, Delta Lake), ETL systems (Flyte, Dagster, Airflow, Argo Workflows), and distributed data processing engines (Spark, Trino).
• Experience developing and operating high-throughput streaming data pipelines (Spark Streaming, Flink, Kafka).
• Strong proficiency in Python, Java, Rust, and/or Go.
• Experience building and operating cloud systems, including Docker, Kubernetes, GitOps (FluxCD/ArgoCD).
• U.S. Person status is required; eligibility to obtain/maintain a US Top Secret clearance is desirable.

Responsibilities

• Build reliable and performant cloud data systems to handle high-volume telemetry ingestion and storage.
• Design extensible telemetry architectures enabling easy integration of diverse data sources.
• Deliver live telemetry streams and recorded data to cloud destinations and analysis tools in real time.
• Develop cloud-native, edge-compatible systems with secure, offline capabilities for classified environments.
• Collaborate with customers and engineering teams to tailor data solutions to specific needs.

Skills

Lakehouse architectures

Streaming pipelines

Python

Java

Rust

Go

Cloud & containers

US Top Secret eligible

Tools

Docker

Kubernetes

FluxCD

ArgoCD

Airflow

Spark

Dagster

Job description

Anduril Industries, Inc. seeks an engineer for the Robotics Data Foundation to design and build cloud data systems.

You will ingest, store, and expose vehicle telemetry data across fleets, enabling searchable and analyzable data for downstream tools and real-time insight. You will work on high-throughput pipelines and extensible data architectures, with edge-compatible cloud-native solutions for offline environments.