Senior Python Data Engineer

Key Responsibilities

• 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.

Minimum Qualifications

• 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