Data Engineer, ADAS Fleet Analytics
Posted Updated
Description
Position Overview
Mercedes-Benz uses large-scale vehicle telemetry to evaluate, monitor, and improve its Advanced Driver Assistance Systems. As a Data Engineer on the US ADAS Data & Forensics team, you will build and operate the data pipelines that turn raw vehicle signals into trusted KPIs, fleet dashboards, and campaign-health monitoring for management and the engineers who calibrate ADAS functions. You will own the full data lifecycle, including real-time ingestion, binary protocol decoding, Bronze/Silver/Gold processing with PySpark and Delta Lake, and delivery through APIs and dashboards. You will also manage data campaigns end to end, including VIN enrollment, fleet-health tracking, coverage-gap detection, and the Sold to Consented to Capable to Active vehicle funnel. The architecture is evolving toward applied AI, and you will build the data infrastructure required for vision-language models, LLM-based event classification, embedding retrieval, and model-based event scoring.
Relocation assistance (domestic or international) is not provided for this position.
Job 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.