Job Opportunities API

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures. Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines. Position Overview: As a member of our Software Engineering team, the Software Engineer II, Data Engineering will play a key role in designing and maintaining the data infrastructure that powers the BrainOS platform. This role requires a solid foundation in data engineering concepts and technologies; with experience in building scalable data pipelines and ensuring the integrity and performance of data systems. The Software Engineer II, Data Engineering will work independently on mid-sized projects and collaborate with senior engineers to tackle larger initiatives. Essential Job Functions: Design and Develop Data Pipelines: Implement robust, scalable pipelines for processing structured and unstructured data Data Architecture & Modeling: Contribute to the design of complex data models and optimize storage solutions in support of engineering and business objectives Optimize Performance and Scalability: Enhance the efficiency and scalability of data pipelines and storage systems by identifying bottlenecks, and configuring cluster resources Collaborate and Support: Collaborate with data analysts, data scientists, and other business teams to support data-related technical issues and support their data infrastructure needs Data Security & Compliance: Implement security best practices, including encryption and access control policies, while maintaining data integrity and compliance with quality standards Incident Management: Monitor and troubleshoot data pipeline failures and reliability issues Education and/or Work Experience Requirements: BS or MS in Computer Science or applicable engineering discipline 2-5 years of proven software development experience, with at least 2 of those years focused on data engineering Required Knowledge, Skills, Abilities, and Other Characteristics: Proficiency in SQL as well as one or more programming languages (Python, Go, or TypeScript) Experience with data warehousing (BigQuery, Snowflake, Firestore, MySQL, PostgreSQL) Familiarity with stream processing frameworks (Apache Beam, Pub/Sub, Spark Streaming) Understanding of data governance, security, and compliance best practices Strong problem-solving skills and ability to work independently on projects Familiarity using Generative AI tools to enhance development workflows, such as code generation, data exploration, and documentation support Effective communication skills demonstrated by effective written and verbal communication; with an ability to articulate technical concepts to both technical and non-technical stakeholders Things that make a difference: Experience with machine learning models and data science methodologies Experience with Google Cloud and their data ecosystem Familiarity with BI tools (e.g., Tableau, Power BI) and data frameworks (e.g., Hadoop, Sp