
Data Engineer
2 weeks ago
About the Role:
Join us in building the future of data-driven gender equality
We're assembling a world-class team to create a groundbreaking AI platform that will transform how organizations understand and serve half the world's population. Think Harvey AI, but for one of the most important and overlooked domains in business intelligence.
The Mission
You'll be instrumental in building infrastructure that turns fragmented public data into actionable gender intelligence, helping Fortune 500 companies, governments, and NGOs make better decisions that impact billions of women worldwide.
What You'll Do:
- Design and implement scalable data pipelines ingesting from 100+ global sources (World Bank, UN, OECD, national statistics offices)
- Build real-time data refresh systems that keep our intelligence current across 50+ countries
- Create robust ETL/ELT workflows handling diverse formats (APIs, CSVs, PDFs, unstructured text)
- Implement enterprise-grade data isolation and multi-tenancy architecture
- Optimize vector databases for lightning-fast retrieval of gender-segmented insights
You're Perfect If You Have:
- 3+ years building production data pipelines at scale
- Experience with modern data stack (Airflow/Dagster, dbt, Snowflake/BigQuery)
- Strong Python/SQL skills and cloud expertise (AWS/GCP/Azure)
- Passion for using technology to drive social impact
- Curiosity about turning "messy" public data into gold
Why This Matters: Every day, critical decisions affecting women's economic participation, health, and opportunities are made with incomplete data. Your work will power instant, accurate insights that could redirect billions in investment, shape better products, and create more equitable policies.
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