{"id":4198815,"url":"https://alion.io/job/mobileye-data-engineering-team-leader","title":"Data Engineering Team Leader","company":{"id":174,"name":"Mobileye","domain":"mobileye.com","url":"https://alion.io/company/mobileye","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":90,"open_postings":61,"ghost_share":0,"stale_share":0.41,"repost_share":0.016,"time_to_fill_p50_days":57,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jerusalem, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Flink","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-04T09:13:06Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-12T21:24:25Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"You will join Mobileye's Data Engineering group, responsible for building and scaling the data infrastructure that powers critical business and product development processes across the organization.\nOur team develops large-scale data platforms and pipelines that transform, manage, and deliver massive volumes of data to support product development, validation, analytics, and operational excellence. We work with cutting-edge cloud and big data technologies, solving complex engineering challenges while maintaining high standards of scalability, reliability, and performance.\nWe are looking for a highly experienced Data Engineering leader who combines deep technical expertise with strong leadership capabilities and thrives in a hands-on environment.\nThis is a unique opportunity to lead a highly impactful Data Engineering team while remaining deeply involved in technical decision-making and hands-on development. You will help shape the future of Mobileye's data platform and drive the architecture of systems operating at significant scale, while building and mentoring a growing team of talented engineers.\nWhat Will Your Job Look Like?\nLead, mentor, and grow a team of Data Engineers, fostering technical excellence and professional development.\nServe as a Hands-On Team Leader, actively contributing to architecture, design, development, and code reviews.\nOwn the end-to-end delivery of complex Data Engineering projects, from requirements and design through production deployment and operational support.\nDesign, build, and optimize large-scale data pipelines and distributed data processing systems.\nDrive the evolution of our cloud-based data platform, ensuring scalability, reliability, and maintainability.\nCollaborate closely with Engineering, Product, Data Science, and Analytics teams to deliver robust data solutions.\nWork with modern big data technologies including distributed processing frameworks, data lakes, metadata management systems, and cloud-native services.\nEstablish engineering best practices, operational excellence, and high-quality development standards across the team.\nLead technical decision-making and serve as a key subject matter expert within the Data organization.\nAll You Need Is\nBachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field.\n5+ years of hands-on Data Engineering experience building and operating large-scale data platforms and infrastructure.\nProven experience designing and implementing complex data pipelines in production environments.\nStrong expertise in Python, including data processing frameworks and libraries such as Pandas.\nDeep understanding of Data Engineering, Data Infrastructure, Data Architecture, and Analytics ecosystems.\nExperience working with cloud-based data platforms and distributed data processing systems.\nHands-on experience with modern big data technologies such as Apache Flink, Data Lakes, Metadata Management solutions, and large-scale processing frameworks.\nProven experience leading technical projects from concept to production deployment.\nPrior experience leading or mentoring engineers, either as a Team Lead, Tech Lead, or Engineering Manager.\nStrong ownership mentality with the ability to drive execution in a fast-paced, highly technical environment.\nExcellent problem-solving and analytical skills.\nStrong communication and interpersonal skills.\nFluent in English, both written and verbal.\nNice to Have\nExperience with AWS cloud services.\nExperience with containerized environments and Kubernetes-based architectures.\nExperience working with streaming and real-time data processing systems.\nExperience building highly scalable data platforms serving multiple engineering and business stakeholders.\nPrevious experience growing and scaling engineering 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