Hybrid Platform Data Engineer for Genomics AI

PathGen; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Paid leave

Hybrid-friendly work pattern

Job summary

PathGen seeks a pragmatic Data Engineer to handle diverse data types — from natural language to geospatial and biological data — and build robust data pipelines for health applications. You will join a mission-driven team collaborating with leading institutions in APAC and beyond.

Ideal candidates combine strong Python/data skills with experience deploying pipelines, containers, and cloud workflows, enabling scalable ML infrastructure and reliable data products.

Qualifications

• 2+ years of experience deploying and maintaining data pipelines in Python.
• Strong Python and data skills.
• Experience with Docker, container orchestration, and cloud deployments (AWS preferred).
• Experience with data engineering workflows (Airflow, Prefect, Kafka, K8s).
• Strong experience with data engineering best practices.

Responsibilities

• Build and monitor scalable data ingestion pipelines for structured datasets (e.g., genomic repositories, scientific literature, climactic datasets, socio-economics).
• Automate ETL processes, pre-processing workflows, and model lifecycle operations (kafka, airflow).
• Collaborate with bioinformatics experts to ensure data quality and traceability.
• Assist with deployment and maintenance of machine learning models using FastAPI and containerized microservices.
• Manage model inference endpoints and batch inference workflows (e.g., AWS Batch or K8s).
• Implement CI/CD pipelines for ML workflows using tools like GitHub Actions, Docker, Terraform.

Skills

Python data pipelines

Docker

Cloud AWS

Airflow / Kafka / K8s

Data engineering best practices

Tools

Docker

Kubernetes

AWS

Terraform

GitHub Actions

Job description

PathGen seeks a pragmatic Data Engineer to handle diverse data types — from natural language to geospatial and biological data — and build robust data pipelines for health applications. You will join a mission-driven team collaborating with leading institutions in APAC and beyond.

Ideal candidates combine strong Python/data skills with experience deploying pipelines, containers, and cloud workflows, enabling scalable ML infrastructure and reliable data products.