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

Harnham; Richardson (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Harnham is seeking a Senior Data Engineer to help modernize an enterprise data platform in a cloud-first environment. You will design, build, and optimize ETL/ELT pipelines and collaborate with architects, engineers, and stakeholders to deliver scalable data solutions.

You will work with Snowflake, dbt, Fivetran, and Terraform to create robust data models and secure, cost-efficient architectures. Strong SQL/Python and PySpark skills are essential.

Qualifications

• 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.
• Strong understanding of modern data architecture, data modeling, and analytics engineering.
• Excellent communication skills with the ability to collaborate across technical and business teams.

Responsibilities

• 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

Skills

Data Engineering

Snowflake

dbt

Fivetran

AWS

SQL

Python

PySpark

Terraform

Tools

Snowflake

dbt

Fivetran

Terraform

PySpark

AWS

Job description

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
• 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