Design, develop, and maintain scalable backend systems using Python for data services, pipelines, and scheduled jobs
Design and ship data orchestration assets, jobs, and sensors using modern workflow tooling
Develop and optimize data models across staging, dimensional, fact, and mart layers
Improve data quality, observability, and reliability for downstream analytics and reporting
Deliver dealer and group-level reporting foundations with reusable, well-tested metrics
Build AI-enabled data workflows, including batch extraction pipelines, evaluation loops, and cost-aware LLM integration patterns
Partner directly with product, finance, sales, and leadership to turn ambiguous asks into production-grade data products
Contribute to broader backend engineering in Python/FastAPI when the business requires it
Lead system design and architecture discussions, ensuring technical scalability and maintainability.
Apply best practices in software development, including testing, CI/CD pipelines, and code quality.
Mentor and guide team members, fostering technical growth and collaboration.
Stay current with technology advancements relevant to our domain, including AI/ML, and evaluate their potential application.

4+ years of professional software engineering experience with strong Python fundamentals
Hands-on experience with modern data stack tools such as Dagster, dbt, and a cloud data warehouse (BigQuery, Snowflake, or similar)
Strong SQL and data modeling exposure (dimensional modeling, incremental patterns, data quality testing)
Experience operating in cloud environments (Azure, GCP, or AWS) with production-grade practices: CI/CD, observability, secrets management
Practical experience integrating AI/LLM tooling into real workflows — LLM provider APIs, prompt iteration, eval-minded development, or batch processing at scale
Ability to move between data engineering and general backend engineering with minimal friction
Strong communication and ownership; comfortable working directly with senior cross-functional stakeholders
Experience with API integrations.
Demonstrated ability to mentor and inspire team members.
Excellent problem-solving and communication skills.

Equity participation through stock options.
Fully paid health, vision & dental insurance for employees.
Flexible PTO and hybrid schedule (3 days / week in downtown Austin).
Free lunches, parking stipend provided, team events, and a casual, but get things done culture.

Software Engineer – Data Platform

Key skills