ADAS Fleet Data Engineer: Real-Time Telemetry & KPIs

Mercedes-Benz Research & Development North America, Inc.; San Jose (CA); On-site; USD 118,000 - 148,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Paid holidays

Tuition assistance

Job summary

Mercedes-Benz Research & Development North America, Inc. is seeking a Data Engineer for the US ADAS Data & Forensics team to build and operate data pipelines that convert raw vehicle signals into KPIs, fleet dashboards, and campaign-health monitoring.

You will manage data lifecycles from real-time ingestion to API delivery, with a path toward AI-enabled data infrastructure. You will work with PySpark, Delta Lake, and cloud services across Azure, focusing on telemetry data, fleet health, and

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

Responsibilities

• Design and maintain scalable telemetry pipelines using Event Hub, Medallion architecture, Delta Lake MERGE, schema evolution, and blue/green data deployments.
• Own campaign and fleet management, including enrollment rosters, ingestion-completeness monitoring, VIN reconciliation, and automated coverage alerts.
• Develop fleet KPIs for engineering, including safety events and takeover analysis; operations, including data freshness and pipeline health; and management, including trends and cohort comparisons.
• Build ML-ready data infrastructure, including video and signal pipelines for SSR recordings, embedding stores, feature-engineering layers, and model-output integration into Gold.
• Operate the Azure data platform, including ADLS Gen2, Synapse Spark, Event Hub, and Container Apps, and support Terraform-managed infrastructure and CI/CD.
• Write automated tests, maintain documentation alongside code, and participate in code reviews and incident response.

Skills

Python

PySpark

SQL

Delta Lake

Data pipelines

Git workflows

Education

Bachelor's or Master's in Computer Science/Data Engineering

Tools

Azure

Synapse Spark

Event Hub

Terraform

Job description

Mercedes-Benz Research & Development North America, Inc. is seeking a Data Engineer for the US ADAS Data & Forensics team to build and operate data pipelines that convert raw vehicle signals into KPIs, fleet dashboards, and campaign-health monitoring.

You will manage data lifecycles from real-time ingestion to API delivery, with a path toward AI-enabled data infrastructure. You will work with PySpark, Delta Lake, and cloud services across Azure, focusing on telemetry data, fleet health, and