Senior Data Engineer (AWS, FiveTran, dbt, Snowflake)

Senior Data Engineer

Location: Richardson, TX (Hybrid)

Compensation: $150,000–$185,000 Base + Annual Bonus + Comprehensive Benefits

About the Opportunity

A leading financial services organization is investing heavily in the modernization of its enterprise data platform and is looking for a Senior Data Engineer to join its growing Data Engineering team.

As a Senior Data Engineer, you'll help shape the future of a cloud-first data ecosystem supporting enterprise analytics, reporting, and data-driven decision making across a large, complex organization. You'll partner with architects, engineers, and business stakeholders to build scalable, production-grade data solutions while helping establish engineering standards and best practices across the platform.

What You'll Do

• Design, build, and optimize enterprise-scale ETL/ELT pipelines
• Develop modern cloud data solutions using AWS, Snowflake, dbt, and Fivetran
• Create scalable, reusable data models that power analytics and reporting
• Design high-performance Snowflake architectures with a focus on scalability, security, and cost optimization
• Build robust data transformations using SQL, Python, and PySpark
• Implement Infrastructure as Code using Terraform
• Develop CI/CD pipelines for automated deployment and testing of data assets
• Improve data quality, observability, governance, and operational monitoring
• Partner with engineering, architecture, security, and analytics teams to deliver enterprise data solutions
• Mentor other engineers and help establish engineering standards across the organization

What We're Looking For

• 7+ years of Data Engineering experience
• Strong experience designing and building enterprise-scale data pipelines
• Hands-on expertise with Snowflake, dbt, and Fivetran
• Experience building cloud-native data platforms in AWS
• Advanced SQL and Python skills (PySpark preferred)
• Experience with Terraform and Infrastructure as Code
• Experience implementing CI/CD for data engineering workflows
• Strong understanding of modern data architecture, data modeling, and analytics engineering
• Excellent communication skills with the ability to collaborate across technical and business teams

Why Join?

• Highly visible role driving enterprise data transformation
• Modern cloud-native technology stack
• Opportunity to influence engineering standards and architecture
• Collaborative, innovation-focused engineering culture
• Competitive compensation, annual bonus, comprehensive benefits, and long-term career growth