Data Engineer: Build Scalable Pipelines for Analytics & ML

Soum; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Soum is seeking a data engineer to design and build scalable data pipelines for analytics and ML, enabling data-driven decisions across a fast-growing startup. You will build ETL/ELT workflows and integrate diverse data sources, ensuring data quality, reliability, and accessibility.

Collaborate with data scientists and product teams to empower product decisions. Proficiency in Python, SQL and cloud platforms (AWS/GCP/Azure) is required; Airflow, Airbyte and Dataform are a plus.

Qualifications

• Build ETL/ELT workflows and integrate diverse data sources.
• Ensure data quality, reliability, and accessibility.
• Partner with data scientists and product teams.

Responsibilities

• Build ETL/ELT workflows and integrate diverse data sources.
• Ensure data quality, reliability, and accessibility.
• Partner with data scientists and product teams.

Skills

Python

SQL

Cloud platforms (AWS/GCP/Azure)

Tools

Airflow

Airbyte

Dataform

Job description

Soum is seeking a data engineer to design and build scalable data pipelines for analytics and ML, enabling data-driven decisions across a fast-growing startup. You will build ETL/ELT workflows and integrate diverse data sources, ensuring data quality, reliability, and accessibility.

Collaborate with data scientists and product teams to empower product decisions. Proficiency in Python, SQL and cloud platforms (AWS/GCP/Azure) is required; Airflow, Airbyte and Dataform are a plus.