Exciting opportunity to join a $100M+ home services company building the next generation of AI-driven solutions. As the Founding Data Engineer, you will design and implement the entire data infrastructure that powers AI across the business. You’ll work with high-volume, messy data from multiple sources, clean and transform it, and make it accessible for advanced analytics and machine learning.

Key Responsibilities

• Architect and maintain scalable data infrastructure from scratch.
• Collect and integrate large datasets from APIs, relational databases, and external sources.
• Build ETL pipelines to clean, transform, and prepare data for AI models.
• Implement data storage solutions (data lakes, warehouses) for accessibility and performance.
• Ensure data quality, governance, and reliability across all pipelines.
• Collaborate with AI/ML teams to deliver production-ready datasets.

Technologies & Skills - A combination of the below is expected (not all):

• Programming: Python (Pandas, NumPy), SQL
• Databases: Relational (PostgreSQL, MySQL)
• Data Warehousing / Lakehouse: Snowflake or Databricks (Delta Lake)
• ETL & Workflow Orchestration: Apache Airflow, dbt
• API Integration: Strong experience consuming APIs for data ingestion (REST, GraphQL)
• Cloud Platforms: AWS, Azure, or GCP
• Data Quality: Great Expectations or similar
• Version Control & CI/CD: Git, GitHub Actions

Ideal Candidate

• 4+ years in data engineering or similar roles.
• Proven experience with high-volume data ingestion and cleaning.
• Strong understanding of data architecture and pipeline design.
• Comfortable in a fast-paced, startup environment.
• Passionate about building systems that power AI.