Senior Data Engineer

Quantum Technologies. LLC; Irving (TX); On-site; USD 73,000 - 104,000; Full time

Job summary

Quantum Technologies. LLC in Irving, TX is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines using Snowflake.

The role focuses on data modeling with star and snowflake schemas, complex SQL, and performance-tuned transformations to support analytics and BI. You'll implement ETL/ELT pipelines with Informatica, dbt, and Azure Data Factory, integrate data from multiple sources, and ensure data quality, security, and governance while collaborating with business

Qualifications

• 5+ years of experience in data engineering.
• Strong SQL and data modeling skills.
• Experience with ETL/ELT and data warehousing concepts.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of Python is preferred.
• Experience with Git, CI/CD, and Agile methodologies.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Build and optimize ETL/ELT pipelines with Informatica, Azure Data Factory, dbt, or similar.
• Implement data integration from multiple sources into Snowflake.
• Ensure data quality, accuracy, security, and governance.
• Troubleshoot data pipeline and production issues.
• Collaborate with business analysts, architects, and data teams on requirements.

Skills

Data modeling

SQL

Azure Data Factory

ETL/ELT

Cloud platforms (AWS/Azure)

Python

Git & CI/CD

Agile methodologies

Snowflake

Tools

Informatica

dbt

Job description

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

Job Title: Senior Data Engineer
Location: Irving ,TX
Duration: 6 Months + Extension
Bill Rate: $64/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Strong experience in data modeling, including dimensional modeling, star and snowflake schemas.
• Develop complex SQL queries, stored procedures, and performance-optimized data transformations.
• Build and maintain ETL/ELT pipelines using tools such as Informatica, Azure Data Factory, dbt, or similar.
• Implement data integration from multiple source systems into Snowflake.
• Optimize Snowflake queries, warehouses, storage, and overall performance.
• Develop data models for analytics, reporting, and business intelligence.
• Ensure data quality, accuracy, security, and governance.
• Work with business analysts, architects, and data teams to understand requirements.
• Troubleshoot data pipeline and production issues.
• Participate in code reviews, documentation, and technical design discussions.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Azure and Azure Data factory.
• Strong SQL and Data Modeling skills.
• Experience with ETL/ELT and data warehousing concepts.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of Python is preferred.
• Experience with Git, CI/CD, and Agile methodologies.

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.