3pillar Global

Senior Python Data Engineer

Job Description

At 3Pillar Global, we specialize in building impactful software products that power digital businesses. We are looking for a talented Senior Data Python + AWS Engineer  who will not only write code but also deliver exceptional product capabilities for our clients. Your contributions will play a pivotal role in achieving our passion for client success, solidifying our position as a leading product development services company.


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, 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.

    • Benefits:
  • Medical Insurance benefits as per company policy. 
  • Life Insurance as per company policy
  • 15 days of paid vacation plus additional days based on tenure
  • Vacation bonus as per local law
  • Sick leave and paid holidays as per local law
  • Profit sharing as per local law
  • Paternity and maternity leave as per as per local law
  • Marriage, bereavement and graduation leaves as per company policy
  • Christmas bonuses as per local law
  • Work from home allowance as per company policy
  • Punctuality and attendance bonuses as per company policy
  • Food tickets as per company policy
  • Direct deposit of payroll.
  • Paid professional certifications

    • #LI-Remote

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