Snowflake Python ETL Engineer: Scalable Data Pipelines

MACHINE LEARNING TECHNOLOGIES LLC; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Boston, MA seeks a Snowflake Python ETL engineer to design, develop, and maintain scalable data pipelines that ingest, transform, and load data into Snowflake Data Cloud.

You will collaborate with data engineers, analysts, and stakeholders to ensure reliable, performant, and secure data processing using Python-based ETL frameworks and cloud-native tech.

Qualifications

• Experience with Snowflake Data Cloud and Python-based ETL development.
• Strong SQL skills, Especially Snowflake SQL.
• Familiarity with CI/CD, Git and DevOps practices.
• Understanding of data security, governance and compliance.

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines using Python to load data into Snowflake.
• Build and manage data transformations with Snowflake SQL, Python, and Snowpark.
• Ingest data from databases, APIs, flat files, and cloud storage.
• Implement data quality checks, validation, and reconciliation.
• Orchestrate workflows with Airflow, Azure Data Factory, dbt, or Control-M.
• Develop CI/CD pipelines for data workflows and manage deployments.

Skills

Snowflake Data Cloud

Python ETL

Snowpark

SQL (Snowflake)

ETL/ELT tooling

Cloud platforms (AWS/Azure/GCP)

Data modeling

CI/CD & DevOps

Git

Tools

Airflow

Azure Data Factory

dbt

Control-M

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Boston, MA seeks a Snowflake Python ETL engineer to design, develop, and maintain scalable data pipelines that ingest, transform, and load data into Snowflake Data Cloud.

You will collaborate with data engineers, analysts, and stakeholders to ensure reliable, performant, and secure data processing using Python-based ETL frameworks and cloud-native tech.