Scientific Data Engineer
Builds ETL pipelines and Python scripts to ingest, transform, and manage customer R&D datasets for a scientific web platform. Targets recent graduates with Python scripting, data manipulation experience, and CS coursework.
About the job
Responsibilities
- Structure and ingest customer data for the Uncountable Web Platform.
- Manipulate, transform, and upload R&D data by writing Python scripts.
- Setup ETL pipelines between Uncountable and other data warehouses.
- Provide new solutions for users to bring in and export their data.
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.
Skills
Python, SQL, ETL, Data Warehousing, Excel, Data Processing, Data Ingestion
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