HHiring Reality
← You.com

Data Engineer

You.com
Location
San Francisco (Hybrid)
Posted
2 days ago
Department
Finance & Business Operations
What they actually want (must-haves)
  • 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)
  • Understanding of data modeling and working with large-scale datasets (batch and streaming)
Nice to have
  • Familiarity with reverse ETL / data activation workflows and syncing data to tools like Salesforce, HubSpot, Braze
  • Exposure to or experience with AI/ML data pipelines, including RAG architectures, vector databases, or embeddings workflows
  • Familiarity with agent-based systems, MCP integrations, or LLM-powered applications
  • Experience working with Finance and building finance specific metrics and pipelines
  • Experience creating dashboards and supporting reporting workflows (BI tools)
What the job really is

As a Data Engineer at You.com, you will be responsible for building and scaling the data platform by developing reliable data pipelines and systems. You will work closely with various teams, including Finance and Product, to ensure data quality and accessibility, while also supporting AI-driven applications by preparing high-quality datasets. This role involves both batch and real-time data processing using tools like Databricks and AWS, and requires a hands-on approach to solving data challenges from ingestion to insights.

Benefits
  • Salary band $180,000 — $220,000 USD
  • Flexible PTO with U.S. holidays observed and a week shutdown in December
  • A competitive health insurance plan covers 100% of the policyholder and 75% for dependents
  • 12 weeks of paid parental leave in the US
  • 401k program, 3% match - vested immediately
  • $500 work-from-home stipend to be used up to a year of your start date
Things to weigh
  • No specific mention of the technologies used beyond Databricks, AWS, and Kafka; may indicate a focus on specific tools rather than a broader tech stack
  • Salary range provided, but compensation is determined by multiple factors assessed during the interview process
  • Certain perks and benefits are limited to full-time employees only
Job score3.8/5
Benefits5/5
Freshness5/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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