Scientific Data Engineer
TLDR
Develop and maintain data ingestion and ETL pipelines for R&D datasets to enable scientists to structure and analyze experiments on a scalable platform.
Thank you for your interest in Uncountable Engineering!
Uncountable is seeking recent graduates interested in a career in data engineering to help manage customers datasets. Our goal is to revolutionize industrial research and development. We’re looking for motivated software engineers who can help to build out tools that will accelerate the development of new chemicals and materials.
Your primary responsibility will be to structure and ingest customer data for the Uncountable Web Platform where scientists enter and analyze their experiments. In this role you will (1) manipulate, transform and upload R&D data by writing Python scripts (2) setup ETL pipelines between Uncountable and other data warehouses used by our customers (3) provide new solutions for users to bring in and export their data. This position demands a creative and analytical thinker with cross-functional communication skills, and the ability to analyze large datasets and identify the steps needed to clean, process and upload the data into our platform.
Requirements
Computer science, data analysis and/or data engineering coursework
Interest in a software engineering career and technology startups
Affinity and familiarity working with data in Excel
Scripting or coding experience in Python to efficiently manipulate large volumes of data
Preferred Qualifications
Knowledge of SQL, experience writing queries and working with databases
Benefits
Competitive Salary and Equity (ISO Grant)
Health and Dental Insurance
401K with Employer Contribution
17 days PTO annually
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Benefits
Equity Compensation
Equity (ISO Grant)
Health Insurance
Health and Dental Insurance
401k with employer contribution
Paid Time Off
17 days PTO annually
Uncountable builds a powerful cloud-based R&D platform that transforms how scientists in chemistry, biology, and material science gather and analyze data. Our software integrates disparate information into a cohesive knowledge base, enabling researchers to accelerate product development and innovation. By leveraging AI-driven insights and visualization tools, we empower leading enterprises to make faster, data-informed decisions in their research processes.
- Founded
- Founded 2016
- Employees
- 11-50 employees
- Industry
- Biotechnology