Data-Focused Fullstack Engineer

March 4

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Logo of Onfleet

Onfleet

Onfleet is a leading platform for last mile delivery solutions, trusted by thousands of companies across various industries such as courier, food and beverage, retail, e-commerce, furniture, and pharmacy. The company's software offers features such as route optimization, driver app integration, visibility and tracking, proof of delivery, and advanced analytics. Onfleet helps businesses enhance efficiency, improve customer satisfaction with real-time updates, and automate dispatch operations. With compliance in areas like HIPAA and SOC2, Onfleet provides a secure and reliable service essential for modern delivery operations. It serves well-known clients like Kroger and Total Wine & More, expanding their delivery capabilities with powerful routing and fleet management tools.

Logistics • Mobile • Fleet Management • Delivery • Software

51 - 200 employees

Founded 2014

🚗 Transport

☁️ SaaS

🛍️ eCommerce

💰 $23M Series B on 2022-06

📋 Description

• Onfleet’s mission is to power the future of commerce by enabling businesses of all sizes to move goods more efficiently and delightfully. • We are seeking a Data-Focused Fullstack Engineer in the LATAM region to join our engineering team. • This is an exciting opportunity for an experienced engineer with strong data and visualization skills. • You will work closely with our Analytics group and Chief Scientist to shape the technical direction of our analytics platform. • You will be central in the building of a brand-new analytics engine that empowers businesses with data-driven insights through advanced visualization and reporting. • This requires greenfield development and shaping the technical direction of our analytics platform in close collaboration with the Analytics group. • This role requires a broad scope of ownership across multiple technologies and subject areas, ensuring successful deployment and ongoing maintenance of analytics capabilities.

🎯 Requirements

• Bachelor’s degree in Computer Science or related field. • 3 - 8 years of software engineering experience. • Proficiency in Python, Node.js, TypeScript, and React, with at least 1 year of production experience in each. • Strong SQL skills with experience in Snowflake and DBT, including query optimization and data transformation best practices. • Experience with data visualization tools and frameworks. • Strong collaboration, problem-solving, and critical-thinking skills. • Excellent English communication skills (C2 level proficiency). • A proactive and independent approach to work. • Passion for delivering high-quality software and user-focused solutions. • Nice To Have: Experience with Geospatial data. • Experience with Test-Driven Development (TDD) and a willingness to share that knowledge with your peers. • Experience with MongoDB, PostgreSQL, and AWS ecosystem. • Experience with GraphQL. • Experience working with large datasets and analytics-driven development. • Prior experience in a startup or fast-paced environment. • Familiarity with cloud-based architectures and data pipelines.

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