Senior Python Data Engineer

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3Pillar Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

💰 Private Equity Round on 2021-10

Consulting • Healthcare • Insurance

3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.

📋 Description

• 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, 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.

🏖️ Benefits

• Flexible work environment – whether it's the office, your home, or a blend of both. • Global team, learning from top talent around the world and across cultures. • Emphasis on well-being, including fitness offerings and generous time off. • Professional services model to accelerate career growth and development opportunities. • Equal opportunity employer committed to diversity.