Salary
💰 $200,000 - $325,000 per year
Tech Stack
ApacheAWSAzureBigQueryCloudDockerGoogle Cloud PlatformPythonRustSQLTypeScript
About the role
- Design and build scalable ingestion pipelines to bring data from SaaS APIs, enterprise systems, and custom client sources.
- Own major projects within the Raw Data roadmap, from building CLI tooling to scaffolding GenAI-assisted taps, and lead technical design reviews.
- Partner closely with the TPM to translate connector roadmaps and product requirements into production-ready systems.
- Improve developer experience by creating tools, automation, and documentation that reduce connector/tap build time.
- Deliver observability and reliability into data ingestion systems, ensuring trust in coverage and completeness.
- Set technical direction for parts of the Raw Data platform, mentor other engineers, and grow into a lead.
- Lead development of Connector Factory tooling, ship new connectors and taps, and contribute to API documentation and developer playbooks.
- Partner with TPM and Ontology engineers to deliver required raw data for Ontology and Client Delivery (People, Projects, Goals).
Requirements
- Experience (6+ years) building large-scale data pipelines, distributed ingestion systems, or API-based integrations.
- Proficiency in Python, Rust, TypeScript, and SQL, or comparable experience in similar ecosystems.
- Hands-on experience with GCP (Cloud Run, Pub/Sub, Cloud Storage, BigQuery, Cloud SQL, Memorystore), Docker, and Pulumi — or equivalent technologies on AWS/Azure.
- Strong grounding in data lake/warehouse design (Apache Iceberg or similar) and stream/batch processing.
- Demonstrated ability to own end-to-end projects: from reviewing API docs and designing integration strategies to deploying production-ready services.
- Solid grasp of security and reliability practices for sensitive enterprise data.
- Excellent communication skills and the ability to mentor peers while driving technical decisions.
- Interest in growing toward Staff Engineer scope — technical leadership without direct management.