Data Engineer / ETL Developer (Cheminformatics)

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

• Python
• Docker

We have 30 years of expertise in designing and building custom software systems. We provide software development services focusing on complex high-load applications, AI and BI solutions, and mobile apps.
Automating the design of chemical compounds has the potential to significantly accelerate the discovery and development of new medicines. This emerging field brings together artificial intelligence, machine learning, and established computational technologies to transform how drug discovery is approached.

We are looking for a Data Engineer / ETL Developer to build and maintain reliable, scalable data pipelines supporting AI-driven drug discovery and computational research.

In this role, you will develop Python-based data processing solutions, orchestrate workflows using Apache Airflow, and use Docker to ensure consistent and reproducible execution environments. You will collaborate with engineering and scientific teams to improve data processing workflows and integrate computational tools and data sources.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines using Python to process and transform data efficiently and reliably.

Build and manage automated workflows using Apache Airflow, including scheduling, dependency management, monitoring, and error handling.

Develop and maintain Docker-based environments to ensure consistent execution of data processing tasks.

Integrate data sources, APIs, and computational tools into automated workflows.

Improve pipeline reliability, scalability, and maintainability through testing, logging, and performance optimization.

Collaborate with engineering and scientific teams to support data-driven research and AI-powered applications.

Requirements

Strong Python programming skills and experience developing data processing or automation solutions.

Hands-on experience with Apache Airflow or similar workflow orchestration tools.

Practical experience with Docker and containerized applications.

Hands-on experience with PostgreSQL and/or Snowflake.

Understanding of ETL/ELT processes, data integration, and workflow automation.

Ability to troubleshoot pipeline failures and build reliable, maintainable solutions.

Nice to Have

Experience with other workflow orchestration or workflow management tools.

Familiarity with AWS cloud services.

Experience with API design and integration.

Knowledge of Kubernetes and GitOps practices.

Background in life sciences, computational chemistry, bioinformatics, or drug discovery.

Our offer as your future employer

• Collaboration via a B2B contract with payments in USD or EUR, depending on your preference, or through a labor contract
• Possibility to work remotely
• Opportunities for professional growth.
• A company laptop to ensure a comfortable and efficient work setup.