Scientific Data Engineer
AI in this role
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
What's next? Learn more about Interviewing at Uncountable
Learn more about our engineering team: Check out our blog
How we score this
Scientific Data Engineer at Uncountable scores 20 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
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Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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