Contract-to-Hire (C2H) Only: This is a non-negotiable requirement to build a stable, long-term team. Pure contractors will be considered only if the C2H pipeline is empty.
100% Remote
Required:
- 7 9+ years of data engineering or data platform experience with hands-on ownership of production systems
- Experience building and operating a data lakehouse, data lake, or modern warehouse architecture (Snowflake, Databricks, or comparable)
- Deep fluency with Apache Airflow or comparable orchestration: DAG design, task dependencies, sensors, and production operations
- Solid understanding of open table formats (Iceberg, Delta, Hudi) and columnar storage (Parquet, Avro, ORC), including how format choices affect query performance, storage efficiency, and schema evolution
- Strong Python: production-grade code, testing, packaging, and debugging
- Advanced SQL: complex transformations, performance tuning, and debugging against a cloud warehouse
- Hands-on relational schema design, ideally in a multi-tenant SaaS context
- Terraform or comparable IaC for managing cloud data resources; CI/CD for pipeline or infrastructure deployment
- Familiarity with AWS data infrastructure: S3, IAM, and relevant managed services
- Experience using AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) to accelerate engineering workflows
- Demonstrated ownership of systems you've inherited and systems you've built from scratch - you can assess an unfamiliar codebase and improve it, and you're just as effective designing something new
- Clear written communication: you can describe a system's state, a problem, or a recommendation in plain language
- Experience mentoring other engineers through code review, pairing, or technical guidance
AI Dev Tools:
Experience with tools like Cloud Code or Cursor is a major plus for rapid ramp-up.
Big Plus would love to see on a resume:
Having a software engineer background is a massive plus / background in CICD exp / working with small team / wanting someone that likes to learn (Certs etc)