{"id":775450,"url":"https://alion.io/job/autofleet-senior-data-engineer","title":"Senior Data Engineer","company":{"id":669551,"name":"Auto Fleet","domain":"autofleet.io","url":"https://alion.io/company/autofleet","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":91,"open_postings":6,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":76000,"max_usd":199000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-04-26T00:00:00Z","employer_posted_date":"2026-04-26","last_verified_at":"2026-11-12T05:08:52Z","board_verified":true,"closed_at":null,"days_open":200,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":200},"description":"We are making the future of Mobility come to life starting today.\nAt Autofleet we support the world’s largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.\nAt the heart of our platform lies the data infrastructure, driving advanced machine learning models and optimization algorithms. As the owner of data pipelines, you'll tackle diverse challenges spanning optimization, prediction, modeling, inference, transportation, and mapping.\nAs a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platform-supporting real-time optimization, advanced analytics, and machine learning applications.\nWhat You'll Do\n Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.\n Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.\n Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.\n Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.\n Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.\n Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.\n Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.\n Requirements\n4+ years in backend data engineering or infrastructure-focused software development.\nProficient in Python, with experience building production-grade data services.\nSolid understanding of SQL \nProven track record designing and operating scalable, low-latency data pipelines (batch and streaming).\nExperience building and maintaining data platforms, including lakes, pipelines, and developer tooling.\nFamiliar with orchestration tools like Airflow, and modern CI/CD practices.\nComfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes).\nBonus: Experience working with GCP\nBonus: Experience with data quality monitoring and alertingֿ\nBonus: Experience with Snowflake, DBT, Flink, Kafka\nBonus: Strong hands-on experience with Spark for distributed data processing at scale.\nDegree in Computer Science, Engineering, or related field.","description_format":"text","description_chars":2703,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Transportation & Logistics","Fleet Management"],"lifecycle":[{"event":"open","at":"2026-09-11T22:51:40Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long 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