ADAS Fleet Analytics Data Engineer - Pipelines & 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) with employer match

Up to 15 holidays

Paid time off

Tuition assistance

Wellness reimbursement

Job summary

Mercedes-Benz Research and Development North America, Inc. is seeking a Data Engineer to build and operate data pipelines turning raw vehicle telemetry into trusted KPIs and dashboards.

You will manage full data lifecycles from real-time ingestion to model-ready data, with a focus on Bronze/Silver/Gold processing using PySpark and Delta Lake on Azure. The role includes VIN enrollment, fleet-health tracking, coverage-gap detection, and data campaigns end-to-end in a modern, AI-enabled data

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field; equivalent experience may be considered.
• 3+ years of professional experience.
• 2-5 years of experience in data engineering or big-data analytics with production pipeline ownership.
• Strong Python, PySpark DataFrame API and performance-tuning skills, and SQL skills including window functions and aggregations.
• Experience with Delta Lake, Iceberg, Hudi, or Parquet in data lake environments.
• Experience with automated testing for data pipelines and Git-based development workflows.
• Ability to diagnose production failures and communicate trade-offs to technical and non-technical stakeholders.

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

Azure/AWS/GCP

Data governance

Education

Bachelor's or Master's in CS/Data Engineering

Tools

Delta Lake

Iceberg

Hudi

Parquet

Job description

Mercedes-Benz Research and Development North America, Inc. is seeking a Data Engineer to build and operate data pipelines turning raw vehicle telemetry into trusted KPIs and dashboards.

You will manage full data lifecycles from real-time ingestion to model-ready data, with a focus on Bronze/Silver/Gold processing using PySpark and Delta Lake on Azure. The role includes VIN enrollment, fleet-health tracking, coverage-gap detection, and data campaigns end-to-end in a modern, AI-enabled data