Sr. Data Engineer- First Dollar (Remote)

We are seeking a talented Data Engineer to join our growing team. This role is responsible for collaborating with an experienced team of engineers and business stakeholders to create scalable data platform solutions to support both our internal business analytics and the customer facing reporting functionality of our application. As a Senior Data Engineer, you will take ownership of key components in our data ecosystem. Additionally, we value individuals who are team players, possess a keen eye for detail, and prioritize outcomes over outputs.  

At First Dollar, we believe in empowering engineers to build a smarter health benefits platform - one where human expertise is amplified, not replaced, by AI tools. We seek engineers who have demonstrated experience using AI responsibly to accelerate their development workflow, improve code quality, and solve complex problems more efficiently. 

Our engineering teams are built on the principle of humans over code. We are a tight-knit group of lifelong learners in a constant quest to be a team that is greater than the sum of its parts. Come join us!  

Duties & Responsibilities:

• Contribute to dimensional modeling and the development of scalable data products. 
• Perform data transformations using SQL and Python based data frameworks 
• Developing and maintaining batch and streaming ETL pipelines. 
• Write and optimize SQL queries for internal analytics and reporting. 
• Create and maintain Looker explores and business reports. 
• Write and maintain infrastructure as code using Terraform. 
• Document data flows, Entity-Relationship Diagrams, and contribute to our data catalog. 
• Improve data quality, reliability, and observability in our pipelines and datasets. 
• Participate in peer-reviews of solution designs and code reviews. 
• Leverage AI as a tool, not a replacement - Candidates are expected to understand that AI is a power productivity multiplier while maintaining engineering judgment, and ensuring AI generated code meets quality standards 
• Full code ownership mandatory - Must understand, explain, and support all AI-assisted code as if written from scratch 

Qualifications

Requirements:

• Proficiency with SQL, Python, experience with TypeScript or Node.js is a plus. 
• Solid understanding of cloud data warehousing concepts (preferably in Google Cloud). 
• Experience setting up ETL pipelines, and orchestration tools. 
• Good understanding of data lakes. 
• Familiarity with data governance concepts. 
• Strong problem-solving and communication skills. 
• Eagerness to learn and grow in a fast-paced data environment. 
• Exposure to data privacy and compliance requirements is nice to have. 
• Knowledge of data products and data mesh architectures. 
• Nice to have: experience with MLOps and ML pipeline support. 
• Practical AI experience - Comfortable using tools like GitHub Copilot, ChatGPT, or Claude for prototyping, debugging, and problem-solving 

Education & Experience:

• 5-7 years of experience in data engineering roles  
• Bachelor’s degree in computer science or equivalent experience 

Other Requirements:

• Infrequent travel (10%)   
• Ability to occasionally work overtime or after hours   
• Prolonged periods of sitting at a desk and working on a computer