Cloud Data Engineer – Robotics Telemetry & Real-Time Streams

Xapply; Boston (MA); On-site; USD 166,000 - 220,000; Full time

Benefits offered by this job

Equity grants

Top-tier benefits

Health & recovery support

Job summary

Anduril Industries is seeking an engineer for the Robotics Data Foundation to design and build cloud data systems handling vehicle telemetry, ingestion pipelines, and analytics tooling. You will normalize data across controllers, manage large-scale streaming, and enable real-time insights for engineers and customers.

The role emphasizes cloud-native and edge-compatible infrastructure, with collaboration across teams to meet data requirements and deliver reliable telemetry solutions at scale.

Qualifications

• Experience with modern lakehouse architectures, ETL systems, and distributed processing engines.
• Experience developing and operating high-throughput streaming data pipelines.
• Strong programming skills in Python, Java, Rust, or Go.
• Experience building and operating cloud systems with containerization (Docker, Kubernetes) and GitOps tools.

Responsibilities

• Build reliable and scalable cloud data systems for telemetry ingestion.
• Design extensible telemetry architectures to integrate diverse data sources.
• Enable real-time data access for engineers and testers across locations.
• Develop cloud-native and edge-compatible data infrastructure.
• Collaborate with customers to deliver data solutions that meet needs.

Skills

Lakehouse

ETL

Delta Lake

Iceberg

Spark

Trino

Airflow

Dagster

Flyte

Spark Streaming

Flink

Kafka

Python

Java

Rust

Go

Docker

Kubernetes

GitOps

FluxCD

ArgoCD

Job description

Anduril Industries is seeking an engineer for the Robotics Data Foundation to design and build cloud data systems handling vehicle telemetry, ingestion pipelines, and analytics tooling. You will normalize data across controllers, manage large-scale streaming, and enable real-time insights for engineers and customers.

The role emphasizes cloud-native and edge-compatible infrastructure, with collaboration across teams to meet data requirements and deliver reliable telemetry solutions at scale.