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Data Engineer

You.com · San Francisco (Hybrid) · Hybrid

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About You.com

Skip the groundwork with our AI-ready Web Search APIs, delivering advanced search capabilities to power your next product. Backed by Norwest.

About the role

We are looking for a hands-on Data Engineer to help build and scale our modern data platform. In this role, you will work closely with Finance, Engineering, Product, and Analytics teams to develop reliable, high-performance data pipelines and systems.

What they're looking for

  • 6+ years of experience in data engineering or a related field
  • Strong hands-on experience with Databricks, AWS (S3, Glue, Athena, EMR, etc.), and Kafka
  • Proficiency in Python (PySpark) and SQL for large-scale data processing
  • Experience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred)
  • Experience with data ingestion tools such as Fivetran (or similar)
  • Familiarity with reverse ETL / data activation workflows and syncing data to tools like Salesforce, HubSpot, Braze
More about this role

About Us

At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information.

Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful.

Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.

We are looking for a hands-on Data Engineer to help build and scale our modern data platform. In this role, you will work closely with Finance, Engineering, Product, and Analytics teams to develop reliable, high-performance data pipelines and systems.

You’ll contribute to both batch and...

Read the full posting on You.com's site ↗

Finance & Business Operations

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