Cloud Data Engineer, Robotics Telemetry & Streaming

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

Benefits offered by this job

Equity grants

Top‑tier benefits

Health benefits

Job summary

Anduril Industries is building a Robotics Data Foundation (RDF) team that designs cloud systems to ingest, store, and expose vehicle telemetry for analysis across fleets. You will normalize data from flight controllers and sensors, enabling downstream analysis and tool access while supporting large‑scale batch ingestion and low‑latency streaming.

A strong background in lakehouse and streaming pipelines is required, with cloud, Docker, and Kubernetes experience. U.S.

Qualifications

• Experience with modern lakehouse architectures (Iceberg, Delta Lake), ETL systems (Flyte, Dagster, Airflow, Argo Workflows), and distributed data processing engines (Spark, Trino, etc.).
• Experience developing and operating high‑throughput streaming data pipelines (leveraging systems like Spark Streaming, Flink, Kafka).
• Strong proficiency in Python, Java, Rust, and/or Go (team predominantly uses Python & Rust for core backend services and pipelines).
• Experience building and operating cloud systems, including containerization and deployability technologies (Docker, Kubernetes, GitOps systems like FluxCD / ArgoCD).
• U.S. Person status is required as this position needs to access export‑controlled data. Eligibility to obtain/maintain a US Top Secret clearance is also desirable.

Responsibilities

• Build reliable and performant cloud data systems: ingest high volumes of telemetry and ensure high availability and stability.
• Design extensible telemetry and data architectures to integrate various data sources into a standardized ingestion framework.
• Enable data‑driven engineering in real‑time by delivering live telemetry streams and recorded data to cloud destinations and analysis tools.
• Build cloud‑native systems that are edge‑compatible and field data systems to classified environments.
• Engage with customers by understanding data requirements and delivering solutions that meet constraints.

Skills

Lakehouse architectures

ETL systems

Streaming pipelines

Python & Rust

Cloud + containers

Tools

Spark

Trino

Kafka

Flink

Airflow

Dagster

Argo Workflows

Spark Streaming

Kafka

Docker

Kubernetes

FluxCD/ArgoCD

Job description

Anduril Industries is building a Robotics Data Foundation (RDF) team that designs cloud systems to ingest, store, and expose vehicle telemetry for analysis across fleets. You will normalize data from flight controllers and sensors, enabling downstream analysis and tool access while supporting large‑scale batch ingestion and low‑latency streaming.

A strong background in lakehouse and streaming pipelines is required, with cloud, Docker, and Kubernetes experience. U.S.