Remote Data Engineer - ETL for AI Drug Discovery

Arcadia Inc.; United States; Remote; USD 90,000 - 150,000; Full time

Benefits offered by this job

Remote work option

Company laptop provided

Professional growth opportunities

USD or EUR payments (B2B)

Job summary

Arcadia Inc. is seeking a Data Engineer / ETL Developer to design and maintain scalable data pipelines supporting AI-driven drug discovery and computational research.

You will develop Python-based data processing solutions, orchestrate workflows with Apache Airflow, and use Docker to ensure consistent execution environments. Collaboration with engineering and scientific teams will enhance data workflows.

Qualifications

• Strong Python programming skills with data processing experience.
• Experience designing and maintaining ETL/ELT pipelines.
• Hands-on with Apache Airflow or similar workflow orchestration tools.
• Practical Docker experience and containerized applications.
• Experience with PostgreSQL and/or Snowflake.
• Understanding of data integration and workflow automation.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Python.
• Build and manage automated workflows with Apache Airflow.
• Maintain Docker-based environments for data tasks.
• Integrate data sources, APIs, and computational tools.
• Improve pipeline reliability, scalability, and maintainability.

Skills

Python

Data pipelines

ETL/ELT

Tools

Apache Airflow

Docker

PostgreSQL

Snowflake

Kubernetes

Job description

Arcadia Inc. is seeking a Data Engineer / ETL Developer to design and maintain scalable data pipelines supporting AI-driven drug discovery and computational research.

You will develop Python-based data processing solutions, orchestrate workflows with Apache Airflow, and use Docker to ensure consistent execution environments. Collaboration with engineering and scientific teams will enhance data workflows.