Senior Python Data Engineer

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.

Accomplished Tech Visionary:

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.

Exposure to DevOps practices in cloud environments.

Some React experience

What is it like working for 3Pillar Global?

What is it like working for 3Pillar Global?

At 3Pillar, we offer a world of opportunity:

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.

You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams.

We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.

Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.

Join us and be a part of a global tech community! \uD83C\uDF0D\uD83D\uDCBC Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam!

#LiRemote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.