Data Acquisition Engineer developing cloud-native data ingestion systems for autonomous driving at Woven by Toyota. Collaborating with cross-functional teams to optimize high-impact projects and mentor junior engineers.
Responsibilities
Design, build, maintain, optimize and support large scale, cloud-native data ingestion, data storage, data processing and data serving systems
Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs
Work closely with other Data Infrastructure engineers, Site Reliability engineers, ML Platform engineers, Computer Vision and ML engineers on high-impact projects to create innovative solutions to problems in the self-drive space
Mentor junior engineers in their day to day work and drive best practices across the organization
Contribute to the long term strategy for several of our systems and products
Requirements
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
5+ years of experience with data structures/algorithms and professional software engineering in one or more programming languages (e.g., Python, Go, Java)
3+ years designing and building data-intensive, concurrent, scalable applications
3+ years of experience with data platforms, data pipelines, workflow orchestration, batch processing, and/or distributed databases
Insider Risk Rules & Reporting Developer responsible for designing and maintaining insider risk detection rules. Collaborating with various departments to ensure security and compliance in risk management at TD.
Duales Studium in Elektrotechnik at OMEXOM in Berlin, focusing on future energy solutions through education and practical work. Engage in innovative projects within the energy sector with hands - on experience.
Vice President of Engineering leading a multidisciplinary engineering organization at MyFunded Futures. Establishing engineering excellence and driving strategic project delivery with a focus on platform reliability.
SQL Developer responsible for data integration tasks and managing customer data transfer processes. Working in a hybrid environment with a focus on collaboration and international teams.
Product Assurance Engineering Intern providing support for HDD, SSD, and Systems testing and analytics at Seagate. Learning problem solving and process improvement in a collaborative environment.
Dual study program in Digital Engineering in Mechanical Engineering at Roding. Involves technical system development and analysis of machines and systems.
Data Engineer designing and implementing scalable data solutions for multi - asset indices at S&P Global. Collaborating with cross - functional teams to enhance data products and analytics capabilities.
Product Manager for Commercial Forward Impact Engineering at Pfizer, leading AI and data - driven digital product development and collaboration with cross - functional teams.
VP of Engineering leading the engineering organisation for scalable SaaS solutions at Elsevier. Driving engineering strategies and governance for advanced data and AI capabilities in academic and healthcare domains.