Data Engineer

Job Title : Data Engineer Job Location : Foster City CA - Onsite Contract : 6 to 8 Months Note : It is W2 Opening. Looking for some one from who has experience in Autonomus Vehicle Industry. As a Data Engineer, AV Safety, you'll: • Build and maintain miners to identify events of interest from fleet and simulation data. • Enhance miner performance using statistical and ML techniques to improve signal quality. • Develop scalable pipelines and dashboards to track miner accuracy, signal quality, and safety metrics. • Analyze data to uncover safety trends, failure modes, and opportunities for improved vehicle behavior. • Triage AV events for safety, legal, or regulatory concerns and document findings. • Create and maintain triage guidelines for both onshore and offshore teams. • Provide data and analysis to support regulatory reporting. Required skills: • Qualifications: Master’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems Engineering, Civil Engineering, Mechanical Engineering, or Electrical Engineering. 6-8 years of experience working with safety-critical systems in AV, Automotive, Transportation Engineering, or a closely related industry. • Strong programming skills in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks). • Strong data engineering skills, including data wrangling and expertise in building maintainable, scalable, and efficient data pipelines. • Familiarity with statistics and probability, and experience with sampling and estimation methodologies. Proven ability to design metrics, run analyses, and translate findings into actionable recommendations. • Strong understanding of behavioral safety concepts and the ability to interpret vehicle behavior in real-world contexts, along with knowledge of AV requirements, road user behavior, and traffic regulations. • Experience working with cross-functional teams and clearly communicating technical content to both engineering and non-technical audiences. Strong organizational skills with attention to detail, especially in process development and documentation related to data pipelines and safety analysis.