3Pillar Global

Senior Python Data Engineer

3Pillar Global

full-time

Posted on:

Location Type: Remote

Location: Guatemala

Visit company website

Explore more

AI Apply
Apply

Job Level

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Medical Insurance benefits as per company policy.
  • Life Insurance as per company policy
  • 15 days of paid vacation, sick leave and paid holidays as per local law
  • Paternity and maternity leave as per as per local law
  • Marriage, bereavement and graduation leaves as per company policy
  • Sick leave and paid holidays as per local law
  • Christmas and Middle year bonuses as per local law
  • Monthly productivity bonus as per local law
  • Discounts in local shops
  • Direct deposit of payroll.
  • Paid professional certifications
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringPythonSQLdata modelingdata pipelinesfile parsingunit testingintegration testingdata analysisdata visualization
Soft Skills
communication skillsattention to detailproject deliverytechnical understanding