Data Engineer, Chemistry Simulation Platform
Data Engineer, Chemistry Simulation Platform
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Job Description
About SandboxAQ
SandboxAQ is a high-growth company delivering AI solutions that address some of the worlds greatest challenges. The companys Large Quantitative Models (LQMs) power advances in life sciences financial services navigation cybersecurity and other sectors.
We are a global team that is tech-focused and includes experts in AI chemistry cybersecurity physics mathematics medicine engineering and other specialties. The company emerged from Alphabet Inc. as an independent growth capital-backed company in 2022 funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ weve cultivated an environment that encourages creativity collaboration and impact. By investing deeply in our people were building a thriving global workforce poised to tackle the worlds epic challenges. Join us to advance your career in pursuit of an inspiring mission in a community of like-minded people who value entrepreneurialism ownership and transformative impact.
About the Role
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 youll be crucial in developing tools that ingest process and serve large amounts of data. Youll also contribute to improving the developer experience to increase developer velocity.
Youll bring broad experience in data storage and processing technologies orchestration tools Python programming CI/CD and infrastructure as code. Most importantly youll 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.
What Youll Do
- 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 SandboxAQs simulation and data platform.
- Review code and participate in design and architectural discussions.
About You
- 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.
Nice to have
- Experience with GraphQL and familiarity with Strawberry or similar.
- Experience with FastAPI.
- Experience with CircleCI.
The US base salary range for this full-time position is expected to be $125k - $175k per year. Our salary ranges are determined by role and level. Within the range individual pay is determined by factors including job-related skills experience and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
SandboxAQ welcomes all.
Employment Type
Full-Time
