Data Engineer, SandboxAQ

• 3+ years of experience with Python, with strong knowledge of software design principles
• Understanding of database principles and best practices
• Experience with large-scale analytic databases. BigQuery preferred
• 2+ years of experience with infrastructure as code management of public cloud providers. Familiar with terraform. GCP preferred
• 2+ years of experience building data pipelines or data processing systems at scale
• Experience with orchestration tools like Airflow
• Experience with writing and optimizing database queries, graph database experience is a plus
• Strong understanding of web and network fundamentals and experience with designing, building, and testing web APIs
• Knowledge of CI/CD best practices and building CI/CD pipelines
• Excellent communication and collaboration skills, with the ability to effectively influence a cross-functional team

Desirable

• SandboxAQ is seeking a generalist software engineer to build infrastructure, development tooling, data pipelines, and data storage systems for AI and simulation in chemistry and life sciences
• In this role, you’ll be crucial in developing tools that ingest, process, and serve large amounts of data
• You’ll also contribute to improving the developer experience to increase developer velocity
• You’ll bring broad experience in data storage and processing technologies, orchestration tools, Python programming, CI/CD, and infrastructure as code
• Most importantly, you’ll bring a track record of working in a small, fast-moving software development team, exploring new technologies, and solving problems across an entire software stack
• Build and operate scalable data pipelines for data ingestions, processing, analytics, and storage. Optimize performance and cost-effectiveness of data pipelines and storage
• Maintain data warehouse and data lake solutions
• Collaborate closely with R&D teams to build and operate data tooling to meet project goals
• In collaboration with domain experts, design and implement data models for scientific data and APIs to store and manipulate data across file storage, graph databases, and relational databases
• Contribute to the design and implementation of complex, security-sensitive data processing and storage systems with complex tenancy and data isolation requirements
• Collaborate closely with the product team and internal stakeholders in all phases of software development to validate the solutions you propose and implement
• In collaboration with the rest of the engineering team, build and manage infrastructure for SandboxAQ’s simulation and data platform
• Review code and participate in design and architectural discussions