Data Insights Team Senior Engineer
TetraScience, United States

TetraScience provides the world’s first and only Ramp;D Data Cloud, with a mission to transform life sciences Ramp;D, accelerate discovery, and improve human life. Scientists at global pharma and biotech organizations rely on our innovative Tetra Data Platform for easy access to centralized, harmonized, and actionable scientific data to accelerate their digital lab transformation. With best-in-class SaaS performance, a team of industry innovators, and excellent product/market fit, Tetra is positioned to become an iconic life sciences software company.

TetraScience is.

• Vendor neutral, decoupling data sources and data targets with an ever growing network of configurable integrations. Connect lab instruments, informatics software and analytics tools, and CROs/CDMOs, avoiding vendor lock-in and future proofing for innovative additions
• Advanced data-centric capabilities, such as Data Operations, Data Management, and Data Automation, with open systems as a core value, lowering your total cost of ownership and enabling rapid initial deployment
• Scalable, with Enterprise-grade features such as SSO, Roles/Permissions
• Life Sciences focused. Our team of scientists + data/software engineers build the platform with an understanding of how it will be used. We work with pharmas, biotechs, instrument manufacturers, ELN/LIMS providers, etc., and bring this broad perspective and best practices to the platform design and our customers.

TetraScience is currently seeking a staff-level Engineer to join a highly collaborative agile team in a fast-paced, energetic environment. You will be part of a team that is passionate about building applications that have a positive impact on science and humanity.

• Prototype and iterate platform toolings and micro services to enable Data Engineers and Data Scientists developing ETL scripts and Streamlit application on the TetraScience Platform using Jupyter Notebook.
• Create microservices, and RESTful APIs for TetraScience Platform deployed on AWS
• Develop code to extract and transform scientific data from files, instrument control software and IoT sensors
• Drive the development of our data collection strategy in a way that securely transfers data from scientific labs to our hosted platform
• Build the next generation of our Data Lake: TetraScience’s central repository of scientific files, which provides a flexible, unified search and data discovery using Elasticsearch, AWS S3 and AWS Athena/Presto
• Build a powerful data pipeline infrastructure and frontend to manage and monitor sophisticated data transformation and ETL, using modern technologies such as Docker, Kubernetes, and AWS
• Optimize the performance of such a Data Engineering Platform to handle high throughput of lab data reliably.
• Work closely with DevOps to ensure your code gets deployed (CloudFormation/Kubernetes) and monitored appropriately (CloudWatch) in production
• Participate in code reviews, design discussions, write unit and integration tests, and adhere to the agile process

Requirements

Basic Requirements:

• Experience contributing to Streamlit or Jupyter Notebook ecosystem
• Experience building Streamlit or Jupyter Notebook extension and plugins
• Experience building tooling for Data Engineers and Data Scientists
• 5+ years of experience developing and launching products in a Cloud and/or Enterprise environment.
• Expert in Python
• Proficient with SQL Data stores
• Experience with ETL, data integration, data pipelines and data lakes
• Experience with Service-Oriented-Architecture (SOA) and Microservices.
• Have some DevOps experience in deployment, QA, security, and AWS.
• Fast and efficient learner and worker
• Have an entrepreneurial spirit and bring ideas to the table.
• Strong communication skills
• Experience with Docker

Nice to Have:

• Prior experience in a scientific/laboratory setting and lab instruments
• Biology, chemistry and natural sciences background
• Data Science

Benefits

• Competitive Salary and equity in a fast growing company
• Supportive, team oriented culture of continuous improvement.

• 100% employer paid benefits for all eligible employees and immediately family members.

• 401K

• Generous paid time off (PTO)

• Flexible working arrangements - Remote work + Boston office as needed

Job Rewards and Benefits