Location: Ashburn, VA

Remote: Yes

Willing to relocate: No

Technologies: Python, SQL, DuckDB, Snowflake, dbt, Prefect, Docker, Pandera, GitHub Actions, biosignal processing (MNE/NumPy)

CV: https://drive.google.com/file/d/1ijwZUUQ1h7iYxMYUP-WVzHlhMZg...

Email: bc (at) blaiseclarke.com

Hi! I'm a computational neuroscientist pivoting fully out of the wet lab into data engineering. My background is in systems neuroscience, building MATLAB codebases to analyze and quantify preclinical biomarkers in animal models.

Recent project is a containerized biosignal pipeline to analyze human EEG data:

* Uses Prefect/Python for orchestration and ingesting

* DuckDB or Snowflake for storing cleaned raw data

* dbt for modeling sleep architecture, average band power, and other metrics

* Pandera for enforcing data contracts, rejecting corrupt signal data before warehouse loading

* CI with Pytest/GitHub Actions

I'm looking for a full-time position within data engineering. I'm particularly interested/strong in high-frequency time-series data analysis (e-phys, biosignals, energy grids, etc.). I'm a quick learner and am really eager to pick up additional stacks and technologies.