Senior Data Engineer - Dallas, TX, Mesa, AZ, New York City, NY, Richmond, VA, Charlotte, NC.

Job Title: Senior Data Engineer
Location: Dallas, TX / Mesa, AZ / New York City, NY / Richmond, VA / Charlotte, NC.
Long erm Contract
Can do Only W2, No C2C

Job Summary:

We are seeking an experienced Senior Data Engineer with 10+ years of experience for an onsite opportunity in Dallas, TX. The ideal candidate should possess strong hands-on expertise in modern cloud data engineering technologies with mandatory experience in Fivetran, dbt, and Snowflake. This role requires building scalable data pipelines, managing enterprise data transformations, and delivering reliable analytics solutions in production environments.

Key Responsibilities:

• Design, develop, and maintain scalable enterprise data pipelines.
• Implement and optimize ELT/ETL processes using modern data engineering tools.
• Utilize Fivetran for data ingestion and integration workflows.
• Build and manage transformation frameworks using dbt in production environments.
• Develop and maintain cloud data warehouse solutions using Snowflake.
• Ensure data quality, consistency, and integrity across multiple data sources.
• Optimize data models and improve overall platform performance.
• Collaborate with analytics, reporting, and business teams to support data-driven initiatives.
• Troubleshoot and resolve data pipeline and performance issues.
• Implement best practices for data governance and engineering standards.
• Participate in architecture discussions and provide technical recommendations.
• Support production deployments and ongoing enhancements.

Required Skills:

• 10+ years of Data Engineering experience.
• Strong hands-on experience with Fivetran (Mandatory).
• Production experience with dbt (Mandatory).
• Strong hands-on experience with Snowflake (Mandatory).
• Experience designing and maintaining ETL/ELT pipelines.
• Experience with data modeling and data warehousing concepts.
• Strong SQL and data transformation skills.
• Experience handling large-scale datasets and enterprise data platforms.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work effectively in a fast-paced environment.

Preferred Qualifications:

• Experience with cloud-based data platforms and modern analytics architectures.
• Familiarity with data orchestration and workflow automation tools.
• Experience with reporting and business intelligence ecosystems.
• Knowledge of data governance and performance optimization techniques.
• Experience supporting enterprise-scale data initiatives.