Data Engineer
San Jose, Santa Clara County, California, 95199, USA
Listed on 2026-07-17
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Software Development
Data Engineering
Fully remote, global. Any time zone. Fluent English required.
Conquer AI deploys production‑ready AI systems for FTSE 100, FTSE 250 and Fortune 500 clients. We’re scaling fast. Every model we ship is only as good as the data underneath it, and right now that’s the part nobody owns.
The reality of this roleNobody notices good data infrastructure. Everybody notices bad data infrastructure, usually when a model gives a client the wrong answer with total confidence. You’ll build and maintain the pipelines that feed our AI systems, structured and unstructured, batch and real time. You’ll keep feature stores and vector databases consistent with what’s actually true, so the engineers building on top of you aren’t debugging your problem three layers up.
Whatyou’ll own
- Data pipelines supporting the full AI lifecycle, from ingestion to model training to serving
- Feature stores and vector database consistency for retrieval and agentic systems
- Data quality, reliability and lineage across every pipeline you build
- Cloud data infrastructure and cost management on the platforms we run on
- Documentation that makes the data trustworthy to everyone downstream, including governance
- Strong in SQL and Python, with real pipeline experience, not just querying
- Comfortable with Spark or PySpark, dbt and Airflow for orchestration
- Experience with at least one major cloud platform (AWS, GCP or Azure)
- You’ve worked with vector databases or feature stores, or you pick them up fast
- You treat data reliability as an engineering discipline, contracts, observability, lineage, not an afterthought
- Fluent English, comfortable working async across a globally distributed team
Data Engineer or Senior Data Engineer at a tech company, scale‑up or AI‑focused team. You’ve built pipelines other people relied on without ever saying thank you. Now you want to build them somewhere that notices.
What we’re offering- Real ownership of the data layer underneath every AI system we ship
- Fully remote, work from anywhere, any time zone
- Direct exposure to the infrastructure behind FTSE 100, FTSE 250 and Fortune 500 deployments
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