Data Engineer/Python Developer

Role Overview

• Collaborate with scientists, assay teams, and lab operations to capture end-to-end assay and experimental workflows, from sample onboarding and execution through data ingestion, validation, and downstream analytics
• Translate scientific and operational requirements into well-defined functional, technical, and data requirements for laboratory platforms, system integrations, and next-generation data pipelines
• Design, develop, and maintain Python-based backend services, APIs, and data pipelines on AWS
• Build backend services using FastAPI and supporting frameworks such as Flask or Django
• Develop and maintain RESTful APIs and microservices for integration with scientific systems including Benchling, LIMS, ELN, CDS, and SDMS
• Design and optimize SQL and NoSQL data models to support structured, semi-structured, and high-volume scientific data
• Build and support ETL/ELT and next-generation data pipelines for analytics and AI/ML workloads
• Support AI/ML use cases by preparing datasets, enabling feature engineering, and integrating models into pipelines and applications
• Implement and maintain CI/CD pipelines for automated build, testing and deployment
• Apply Test-Driven Development (TDD) practices and develop automated unit, integration, and data validation tests
• Ensure solutions meet performance, data integrity, security, and regulatory compliance requirements (e.g., GxP, 21 CFR Part 11)
• Perform code reviews, debugging, and performance optimization
• Coordinate across cross-functional and geographically distributed teams, managing dependencies and ensuring delivery alignment
• Create ready to deliver technical documentation and track deliverables using JIRA and Confluence

Requirements

• Collaborate with scientists, assay teams, and lab operations to capture end-to-end assay and experimental workflows, from sample onboarding and execution through data ingestion, validation, and downstream analytics
• Translate scientific and operational requirements into well-defined functional, technical, and data requirements for laboratory platforms, system integrations, and next-generation data pipelines
• Design, develop, and maintain Python-based backend services, APIs, and data pipelines on AWS
• Build backend services using FastAPI and supporting frameworks such as Flask or Django
• Develop and maintain RESTful APIs and microservices for integration with scientific systems including Benchling, LIMS, ELN, CDS, and SDMS
• Design and optimize SQL and NoSQL data models to support structured, semi-structured, and high-volume scientific data
• Build and support ETL/ELT and next-generation data pipelines for analytics and AI/ML workloads
• Support AI/ML use cases by preparing datasets, enabling feature engineering, and integrating models into pipelines and applications
• Implement and maintain CI/CD pipelines for automated build, testing and deployment
• Apply Test-Driven Development (TDD) practices and develop automated unit, integration, and data validation tests
• Ensure solutions meet performance, data integrity, security, and regulatory compliance requirements (e.g., GxP, 21 CFR Part 11)
• Perform code reviews, debugging, and performance optimization
• Coordinate across cross-functional and geographically distributed teams, managing dependencies and ensuring delivery alignment
• Create ready to deliver technical documentation and track deliverables using JIRA and Confluence

Required Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, Life Sciences with 2–5 years of hands-on experience in Python development with FastAPI (Flask or Django is a plus)
• Proficiency in SQL, including schema design, complex queries, and performance optimization > Relational databases such as PostgreSQL, MySQL, Oracle, AWS RDS/Aurora > NoSQL databases such as DynamoDB, MongoDB, or equivalent
• Solid understanding of REST APIs, microservices, and integration patterns
• AWS experience, including S3, EC2, Lambda, Step Functions, RDS / Aurora, IAM, monitoring, and logging
• Proficiency with Git-based collaborative development, including branch management, pull requests, code reviews, and integration with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline) to ensure reliable and traceable software delivery
• Hands-on experience with Test-Driven Development and Python testing frameworks such as pytest, unittest, and mocking libraries
• Working knowledge of AI/ML concepts, including data preparation, feature engineering, model integration, and inference workflows
• Exposure to the data and ML libraries such as pandas, NumPy, and scikit-learn (exposure to TensorFlow or PyTorch is a plus)
• Exposure to life sciences, biotech, pharma, or healthcare domains and scientific platforms such as LIMS, ELN, SDMS, CDS, or data lakes
• Ability to design data models aligned to scientific and assay workflows & integrating scientific or enterprise systems and working directly with scientists or lab users
• Knowledge of containerization (Docker) and modern deployment best practices
• Familiarity with Agile/Scrum & SDLC development methodologies
• Strong communication, stakeholder engagement, and cross-team coordination skills

Additional Preferences

• Willingness to travel/ relocate based on project or business needs
• Ability to work in a fast-paced, client-focused environment
• Comfortable managing cross-team coordination and dependency management, particularly across globally distributed teams and user groups

Tech Stack

• AWS
• Django
• Docker
• DynamoDB
• EC2
• ETL
• Flask
• Jenkins
• Microservices
• MongoDB
• MySQL
• NoSQL
• Numpy
• Oracle
• Pandas
• Postgres
• Python
• PyTorch
• Scikit-Learn
• SDLC
• SQL
• Tensorflow

Benefits

CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies.

We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability.

We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.

If you share these sentiments and are prepared for the atypical, then Zifo is your calling!

Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.