What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3-7 years of experience in data engineering or software engineering with customer-facing exposure
- Strong SQL proficiency and hands-on Python experience
- Background in ETL/ELT data pipelines and modern data stack tools including Snowflake BigQuery Databricks Airflow or dbt
- Experience working with large messy real-world datasets
- Understanding of media data types including audio video and speech
- Experience in a high-growth startup environment Series A-D
- Clear communicator able to translate technical delivery requirements to external stakeholders
- Technical degree in Computer Science Information Systems or related field
Day to day
- Own end-to-end curation and delivery of media datasets from raw ingest through QA and final customer handoff
- Translate customer AI data requirements into actionable curation workflows for audio video and speech data
- Build scripts lightweight tooling and repeatable QA processes to improve delivery speed consistency and quality
- Act as the internal catalog expert by tracking metadata quality content coverage and dataset gaps
- Partner cross-functionally with Sales Product and Engineering to influence roadmap and reduce bespoke delivery work