Senior Snowflake Data Engineer: SQL + Python

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 76,000 - 108,000; Full time

Job summary

Machine Learning Technologies, LLC in Dallas, TX seeks an experienced Senior Data Engineer with strong Snowflake, SQL, and Python skills to design, develop, and maintain scalable data pipelines and cloud-based data warehouse solutions. The role emphasizes ETL/ELT processes, data modeling, performance optimization, and modern data engineering technologies.

The candidate will design and maintain Snowflake-based pipelines, implement data quality checks, and collaborate with data architects and

Qualifications

• 5+ years of experience in Data Engineering.
• Hands-on Snowflake experience required.
• Advanced SQL and data transformation skills.
• Proficiency in Python for data engineering tasks.

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 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 pipelines

Job description

Machine Learning Technologies, LLC in Dallas, TX seeks an experienced Senior Data Engineer with strong Snowflake, SQL, and Python skills to design, develop, and maintain scalable data pipelines and cloud-based data warehouse solutions. The role emphasizes ETL/ELT processes, data modeling, performance optimization, and modern data engineering technologies.

The candidate will design and maintain Snowflake-based pipelines, implement data quality checks, and collaborate with data architects and