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Scientific Data Engineer

Uncountable Inc. · San Francisco, NY, United States, US · 11 days ago

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 https://www.uncountable.com/interviewing-at-uncountable
  • Learn more about our engineering team: Check out our blog https://medium.com/uncountable-engineering

Headquarters

San Francisco, NY, United States

Work Location

on-site

Job Category

Data Science / AI / Machine Learning

Application Deadline

Not specified

Job Type

full-time

Experience Level

Not specified

Application Method

Apply via Website

Salary

Not specified

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