Senior Data Engineer – Snowflake

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); Vor Ort; USD 76.000 - 108.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Snowflake

SQL

Python

ETL/ELT

Data engineering

Jobbeschreibung

Job Title: Senior Data Engineer - Snowflake

Location: Dallas City, TX

Duration: 6Months + Extension

Bill Rate: $67/Hour (C2C)

Job Type: W2 / 1099 / C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, GC, OPT EAD, CPT, H1B, H4 EAD, Other

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.

Equal Opportunity Employer

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.