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# Senior Python Data Engineer

- **Company:** Three Pillar, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, DevOps, Python (Programming Language), SQL Databases, Tableau (Software), Jupyter Notebook, Cloud Platform System, ReactJS, Data Analytics, Streamlit Framework, Data Pipelines
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4538332f341c58b1

## About the Role

* 5+ years of building solutions as a Data Engineer or similar fields.
 * 3+ years working in Python and SQL with a focus on data.
 * Experience with data plotting dashboarding tools like Streamlit, Tableau, and Jupyter Notebook is a plus
 * Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
 * Quickly understand a highly technical product and effectively communicate with product management and engineering.

Nice to have:

 * Passionate about data problems and using AI and LLM to come up with creative ideas
 * A degree in biology or chemistry or relevant fields OR > 3 years of work experience in pharmaceutical or biotech industry in scientific data engineering, data modeling, or data analytics.
 * Exposure to DevOps practices in cloud environments.
 * Some React experience

## Description

* Develop and refine strategies for acquiring research data from scientific laboratory instruments.
 * Engineer and operationalize custom file parsers to handle diverse instrument output formats-including .xlsx, .pdf, .txt, .raw, .fid, and a variety of proprietary vendor binaries.
 * Architect and implement robust data models, along with scalable data pipelines, comprehensive unit and integration tests, and modular utility libraries.
 * Perform comparative analysis of datasets generated by similar instruments or workflows to design shared, extensible data model components.
 * Create visualizations, reports, and interactive dashboards leveraging platforms such as Streamlit, Tableau, Jupyter Notebook, and others.


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