Senior Snowflake Data Engineer - ETL/ELT & Python

Robotics Technologies LLC; Dallas (TX); On-site; USD 76,000 - 108,000; Part time

Job summary

Robotics Technologies LLC is seeking an experienced Senior Data Engineer with strong expertise in Snowflake, SQL, and Python to design, develop, and maintain scalable data pipelines and cloud-based data warehouse solutions.

The ideal candidate will have hands-on experience with ETL/ELT processes, data modeling, performance optimization, and modern data engineering technologies, and will collaborate 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 Snowflake-based data pipelines.
• 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 modeling

Performance optimization

Data security

Data governance

Job description

Robotics Technologies LLC is seeking an experienced Senior Data Engineer with strong expertise in Snowflake, SQL, and Python to design, develop, and maintain scalable data pipelines and cloud-based data warehouse solutions.

The ideal candidate will have hands-on experience with ETL/ELT processes, data modeling, performance optimization, and modern data engineering technologies, and will collaborate with data architects, analysts, and business teams.