AirOps is building a platform to empower marketers to become modern leaders as AI reshapes how brands reach their audiences. We're looking for a Lead Data Engineer to own and scale our data platform.
Requirements
- 5+ years in data engineering with 2+ years leading projects
- Expert SQL and Python with deep experience building production pipelines at scale
- Hands-on with dbt and a workflow manager such as Airflow or Prefect
- Strong background in dimensional and event-driven modeling and a company-wide metrics layer
- Experience with Snowflake or BigQuery, plus Postgres for transactional use cases
- Track record building data products for analytics and customer reporting
- Cloud experience on AWS or GCP and infrastructure as code such as Terraform
- Domain experience in SEO, content analytics, or growth experimentation is a plus
Benefits
- Equity in a fast-growing startup
- Competitive benefits package tailored to your location
- Flexible time off policy
- Generous parental leave