Senior Data Engineer - DBT

Job Description: Senior Data Engineer We’re looking for a Senior Data Engineer to help us build and maintain a modern, reliable data platform. This role will focus on developing automated DBT models, managing Snowflake data infrastructure, and supporting our engineering teams with high-quality, scalable data pipelines. You should be comfortable working across tools like DBT, Snowflake, and AWS, and bring a solid understanding of data modeling and DevOps/DataOps best practices. This is a hands-on role where you’ll collaborate closely with other engineers to deliver clean, well-tested, production-grade data workflows. Job at a Glance: 22-month contract (Possibility of extension) $75/hr + optional benefits (Medical, Dental, Vision, and 401k) Hybrid (Orlando, FL) What You’ll Do: Design, build, and maintain DBT models to support analytics and production use cases Develop and manage data pipelines using AWS and other cloud-based tools Collaborate with software engineers and data teams to integrate data into applications and workflows Implement infrastructure as code using CDK, Terraform and GitHub workflows Contribute to improving performance, reliability, and maintainability of our data stack Support versioning, testing, and deployment processes for data assets Help shape best practices around data modeling, pipeline architecture, and DevOps/DataOps in a modern cloud environment What We’re Looking For: 5+ years of experience in data engineering, software engineering, or related roles Strong hands-on experience with DBT and Snowflake Solid SQL skills and understanding of data modeling concepts Working knowledge of AWS (e.g. S3, Lambda, IAM) Experience with infrastructure-as-code (CDK preferred, Terraform or CloudFormation also acceptable) Familiarity with GitHub, CI/CD pipelines, and software development best practices Comfortable writing clean, maintainable, and well-documented code Bonus: Experience with Python, data orchestration tools, or monitoring systems #INDGEN