Senior Data Engineer

Valiant Technologies LLC; Irving (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Valiant Technologies LLC in Irving, TX seeks an experienced Data Engineer to design, build, and optimize scalable Snowflake-based data pipelines. You will model data for analytics and BI, implement ETL/ELT processes, and ensure data quality, governance, and security across multi-source integrations.

The role emphasizes collaboration with analysts, architects, and data teams, leveraging Python, Git, CI/CD, and Agile practices to deliver reliable data platforms in a cloud-first environment.

Qualifications

• 7+ 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.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake.
• 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.

Skills

Data Engineering

SQL

Data Modeling

Python

CI/CD

Agile

Git

Cloud Platforms (AWS/Azure)

Tools

Azure Data Factory

Informatica

dbt

Snowflake

Job description

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

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:

7+ 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.