Senior Python Data Engineer REQ_23, REQ_118
- Compensation
- Not disclosed
- Location
- Mexico Remote, Mexico Remote, Mexico
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Full description
3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI.
Senior Python Data Engineer
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, 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.