Senior Data Engineer – Snowflake

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

Job summary

Quantum Technologies. LLC is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data warehouses using Snowflake, SQL and Python.

You will optimize ETL/ELT workflows, model data, and ensure data quality, security, and governance while collaborating with data architects, analysts and business teams.

This contract role runs 6 months with potential extension, offering a bill rate of $67 per hour (C2C) and flexible engagement options (W2/1099/C2C).

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

Data Modeling

Tools

Orchestration Tools

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Duration:6Months + Extension

Bill Rate: $67/Hour (C2C)

Job Type: W2 / 1099 / C2C

Client: To Be Discussed Later

Job Summary

We are 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 should have hands-on experience with ETL/ELT processes, data modeling, performance optimization, and modern data engineering technologies.

Key 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.

Required Skills

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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.