Mercedes-Benz Research & Development North America’s US ADAS Data & Forensics team is hiring a Data Engineer to design, build, and run telemetry data pipelines that transform raw vehicle signals into reliable KPIs, fleet dashboards, and ML-ready data assets for ADAS event scoring.
Role and Data Focus
In this onsite role in San Jose, CA, you will own the end-to-end data lifecycle for large-scale vehicle telemetry used to evaluate, monitor, and improve Advanced Driver Assistance Systems. The work includes real-time ingestion, binary protocol decoding, Bronze/Silver/Gold processing with PySpark and Delta Lake, and delivery of outputs through APIs and dashboards for engineering and management stakeholders.
You will also manage data campaigns through the full vehicle funnel from Sold to Consented to Capable to Active, supporting VIN enrollment, fleet-health tracking, and coverage-gap detection. As the architecture evolves toward applied AI, you will build infrastructure that supports vision-language models, LLM-based event classification, embedding retrieval, and model-based event scoring.
Key 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 (data freshness and pipeline health), and management (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, with support for Terraform-managed infrastructure and CI/CD.
- Write automated tests, maintain documentation alongside code, and participate in code reviews and incident response.
Required 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, plus SQL skills including window functions and aggregations.
- Experience with a columnar or transactional data-lake technology such as Delta Lake, Iceberg, Hudi, or managed Parquet.
- Experience with automated testing for data pipelines and Git-based development workflows.
- Ability to diagnose production failures, including schema conflicts, data skew, and memory issues, and communicate trade-offs to technical and non-technical stakeholders.
Preferred and Nice-to-Have
- Strongly preferred: Medallion or other layered data-processing patterns; cloud data-platform experience in Azure, AWS, or GCP; Parquet schema design and schema evolution; production data-quality practices including deduplication, idempotency, and data contracts; time-series, IoT, or vehicle-telemetry data.
- Nice to have: DuckDB or PyArrow; FastAPI or analytical API delivery; blue/green data deployments; ML data infrastructure including feature stores, embedding pipelines, vector databases, or video pipelines; fleet or campaign management for vehicle or IoT programs; automotive data privacy including CCPA; ADAS or connected-vehicle domain knowledge; Azure Data Engineer or Databricks certification; English required, German is an advantage.
Technologies
Event Hub, Delta Lake, PySpark, Delta Lake MERGE, ADLS Gen2, Synapse Spark, Container Apps, Terraform, CI/CD, Python, SQL, Iceberg, Hudi, Parquet, Git, FastAPI, DuckDB, PyArrow, vector databases.
Compensation and Employment Details
- Salary range: USD 118,200 - 147,700 per year
- Employment type: Full-time
- Start date: sofort
- Location: San Jose, CA (onsite)
- Relocation assistance: Not provided for this position (domestic or international)
- Position number: MER00048Z4
Benefits
- Medical, dental, and vision insurance for employees and their families
- 401(k) with employer match
- Up to 15 company-paid holidays
- Paid time off (flexible time off for salaried employees), sick time, and parental leave
- Tuition assistance program
- Wellness/Fitness reimbursement programs
Internships & Contractors are excluded from Full-Time Employee benefits.
Export Control Statement
This position may involve access to export-controlled technology, hardware, or software under the Export Administration Regulations (EAR), 15 C.F.R. Parts 730-774, and possibly technical data, defense articles, and defense services subject to the International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130. Mercedes-Benz Research & Development North America may be required to obtain an export license or authorization in accordance with United States law.
