Data Engineer ADAS Fleet Analytics

Aufgaben Position OverviewMercedes-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 BronzeSilverGold 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 ResponsibilitiesDesign and maintain scalable telemetry pipelines using Event Hub Medallion architecture Delta Lake MERGE schema evolution and bluegreen 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 CICD.Write automated tests maintain documentation alongside code and participate in code reviews and incident response. Qualifikationen Minimum QualificationsBachelors or Masters degree in Computer Science Data Engineering or a related field. Equivalent experience may be considered.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 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.Strongly PreferredMedallion 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 HaveDuckDB or PyArrow FastAPI or analytical API delivery bluegreen 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.The successful candidates starting pay will be determined based on a wide range of factors including but not limited to job-related education skills and experience geographic location and market conditions. The current salary range for this position is as follows and may be modified in the future 118200 - 147700.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. As such Mercedes-Benz Research & Development North America may be required to obtain an export license or authorization in accordance with United States law.Why should you applyHere at MBRDNA you create digital ecosystems around cars you design a language between humans and machines you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the Best Places to Work by BuiltIn in January 2024 a testament to our commitment to creating an exceptional work environment. At each of our offices we foster a culture of collaboration and continuous learning ensuring every team member can thrive and innovate.Benefits for Full-TimeEmployees Include• Medical dental and vision insurance for employees and their families• 401k 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• WellnessFitness reimbursement programs Internships & Contractors excluded from Full-Time Employee benefitsMBRDNA is an equal opportunity employer EOE and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system MBRDNA employees or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.Mercedes-Benz Research and Development North America Inc.PRIVACY NOTICE FOR CALIFORNIA RESIDENTShttpsmbrdna.comcalifornia-employee-privacy-notice