Senior Data Engineer: Snowflake & Python Pipelines

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

Job summary

Valiant Technologies LLC in Dallas, TX seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and a cloud-based data warehouse using Snowflake, SQL, and Python. You will focus on ETL/ELT processes, data modeling, performance optimization, and modern data engineering technologies.

Duration: 6 Months + Extension. The role emphasizes data quality checks, governance, and collaboration with data architects, analysts, and business teams to deliver reliable analytics-ready

Qualifications

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake.
• 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

Job description

Valiant Technologies LLC in Dallas, TX seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and a cloud-based data warehouse using Snowflake, SQL, and Python. You will focus on ETL/ELT processes, data modeling, performance optimization, and modern data engineering technologies.

Duration: 6 Months + Extension. The role emphasizes data quality checks, governance, and collaboration with data architects, analysts, and business teams to deliver reliable analytics-ready