Autonomy Data Platform Engineer

Bedrock Robotics; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Bedrock Robotics is seeking a Data Platform Engineer to own the systems that move, store, and serve data from edge devices on Bedrock's autonomous machines to cloud-based services. This infrastructure role emphasizes scalability, reliability, and cost efficiency to enable fleet-scale data processing.

You will design architectures for edge-to-cloud data flow, build high-throughput services, establish SLOs and observability, and empower other teams with self-serve data tooling.

Qualifications

• 5+ years building data infrastructure in production.
• Experience with data lakes or lakehouses and distributed engines like Spark.
• Strong software engineering background in production code (Python/Go/Rust/Scala).

Responsibilities

• Architect the data platform end-to-end from edge ingestion to lakehouse storage and serving.
• Ingest high-volume sensor/log data from field devices with intermittent connectivity.
• Build low-latency, high-throughput data services used by multiple teams.
• Set platform standards for reliability, SLOs, observability, and incident response.
• Keep cost and compute usage in check as data grows.
• Develop self-serve tooling and abstractions for other engineers to ship data workflows.
• Own data governance, access control, and lineage at the platform level.

Skills

Data infrastructure

Distributed systems

Production coding

Cloud tooling

SLOs & reliability

Tools

Kubernetes

IaC

CI/CD

Databricks

Kafka

Kinesis

Flink

Airflow

Prefect

Spark

Job description

Bedrock Robotics is seeking a Data Platform Engineer to own the systems that move, store, and serve data from edge devices on Bedrock's autonomous machines to cloud-based services. This infrastructure role emphasizes scalability, reliability, and cost efficiency to enable fleet-scale data processing.

You will design architectures for edge-to-cloud data flow, build high-throughput services, establish SLOs and observability, and empower other teams with self-serve data tooling.