Senior Snowflake Data Engineer - ETL, Python & Cloud

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 76,000 - 108,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking a Senior Data Engineer focused on Snowflake to design, build, and optimize scalable data pipelines and cloud data warehouses. The role requires strong SQL, Python, ETL/ELT experience and hands-on Snowflake expertise to deliver efficient data models, secure data access, and cost-aware warehouse operations.

The contract runs for 6 months with potential extension and involves collaboration with data architects, analysts, and business teams.

Qualifications

• 5+ years of experience in Data Engineering.
• Hands-on Snowflake experience.
• Advanced SQL and query optimization skills.
• Proficiency in Python for data engineering and automation.
• Experience with ETL/ELT pipeline development.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Build and optimize ETL/ELT workflows for structured and semi-structured data.
• Develop complex SQL queries, stored procedures, and data transformations.
• Implement data integration solutions using Snowflake and cloud platforms.
• Develop and maintain data workflows using Python and orchestration tools.
• Design data models, schemas, and data warehouse architectures.
• Optimize Snowflake query performance, warehouse usage, and cost.
• Implement data quality checks, validation, and monitoring.
• Collaborate with data architects, analysts, and business teams.
• Ensure data security, governance, and access controls.

Skills

Snowflake

SQL

Python

ETL/ELT

Data engineering

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking a Senior Data Engineer focused on Snowflake to design, build, and optimize scalable data pipelines and cloud data warehouses. The role requires strong SQL, Python, ETL/ELT experience and hands-on Snowflake expertise to deliver efficient data models, secure data access, and cost-aware warehouse operations.

The contract runs for 6 months with potential extension and involves collaboration with data architects, analysts, and business teams.