Python Data Engineer — ETL & Cloud Pipelines

Soul Ai; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Soul Ai is hiring a Python-based Data Engineer to develop ETL processes and data pipelines. You will build scalable pipelines that move and transform data across systems, ensuring reliability and performance.

Responsibilities include integrating APIs, automating workflows with Python and cloud tools, and collaborating with data science and analytics teams to derive insights.

We value hands-on experience with Airflow, Pandas, SQL, and major cloud platforms to deliver robust data solutions.

Qualifications

• 2+ years in data engineering using Python.
• Familiar with Airflow, Pandas, and SQL.
• Experience with cloud data services (AWS/GCP/Azure).

Responsibilities

• Build and optimize ETL/ELT data pipelines.
• Integrate APIs and large-scale data ingestion systems.
• Automate data workflows using Python and cloud tools.
• Collaborate with data science and analytics teams.

Skills

Python

Data engineering

ETL design

Team collaboration

Problem-solving

Tools

Airflow

Pandas

SQL

Cloud platforms (AWS/GCP/Azure)

Job description

Soul Ai is hiring a Python-based Data Engineer to develop ETL processes and data pipelines. You will build scalable pipelines that move and transform data across systems, ensuring reliability and performance.

Responsibilities include integrating APIs, automating workflows with Python and cloud tools, and collaborating with data science and analytics teams to derive insights.

We value hands-on experience with Airflow, Pandas, SQL, and major cloud platforms to deliver robust data solutions.