Data Engineer

2 semanas atrás

Curitiba, Paraná, Brasil beBeeScientific Tempo inteiro R$80.000 - R$120.000

**Job Title:** Scientific Data Engineer

Overview

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

We are seeking a highly skilled Scientific Data Engineer to join our global team.

Key Responsibilities:
  • Research data acquisition strategy for scientific lab instrumentation
  • Design and build data models and the corresponding data pipelines, unit tests, integration tests, and reusable utility functions
  • Cross-analyze instrument data with the same instrument type or scientific workflow to design common data model components
  • Build visualization, reports, and dashboards using Streamlit, Tableau, Jupyter Notebook, etc.

Requirements:
  • Must have >3 years of experience in Python and SQL
  • Must have 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
  • Experience with data plotting/dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a plus
  • Passionate about data problems and using AI and LLM to come up with creative ideas
  • 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
  • Proactive problem-solving skills
  • High-bandwidth: thrives when managing multiple simultaneous projects
  • Intellectually curious: unwavering drive to learn and know more every day
  • Ability to think creatively about how to solve project risks without reducing quality
  • Team player and ability to "roll up your sleeves" and do what it takes to make the team successful

About Solvd:
  • Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
  • Be part of a global team with equal opportunities for collaboration across continents and cultures
  • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards

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