You.com

You.com

Data Engineer

San Francisco (Hybrid) · Senior · Full-time

Sponsorship not specified$180k-$220kDetected 28 days ago
PythonSQLDatabricksVector DatabasesAWSRESTKafkaMachine LearningSparkAirflowdbtData EngineeringLLMsRAGAgentic AIAccessibilityHubSpotSalesforceAccountingForecastingEHR/EMRResearchCommunicationProblem Solving

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odds of building a lasting career here

56Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You'll contribute to both batch and real-time data processing using technologies like Databricks, AWS, kafka and several 3rd party data, while helping ensure data quality, accessibility, and usability across the organization.
  • You'll play a key role in enabling data activation, ensuring that high-quality data flows not only into the warehouse but also outward to business tools such as Salesforce etc.
  • This is a great opportunity for someone who enjoys solving data challenges end-to-end from ingestion to insights.

Responsibilities

  • Build and maintain scalable data pipelines (batch and streaming) using tools such as Databricks, Spark, Kafka, and AWS services
  • Build and maintain pipelines from source systems (Salesforce, billing, product events, API logs) into clean analytics layers
  • Design, develop, and optimize ETL/ELT workflows using DBT, PySpark, SQL, and tools like Fivetran
  • Work closely with finance in developing Finance data solutions, Finance metrics and forecasting models
  • Partner with Finance on revenue accounting, COGS, and margin reporting
  • Partner closely with marketing and growth teams to enable data use cases such as segmentation, campaign targeting, and lifecycle analytics
  • Develop and maintain reverse ETL pipelines to sync data from the warehouse to tools like Salesforce, HubSpot, Braze, and other downstream systems
  • Create and manage curated datasets to support analytics, reporting, and go-to-market initiatives
  • Build and maintain dashboards and reporting layers to support marketing and business performance tracking
  • Support AI/ML and agent-based applications by preparing and serving high-quality datasets for MCP (Model Context Protocol) integrations and AI driven applications

Requirements

  • 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 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
  • Exposure to or experience with AI/ML data pipelines, including RAG architectures, vector databases, or embeddings workflows
  • Experience creating dashboards and supporting reporting workflows (BI tools) for both internal and external audiences
  • Strong problem-solving skills and ability to debug production data issues
  • Strong communication skills and ability to work collaboratively across teams
  • Experience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred)
  • Experience working with Finance and building finance specific metrics and pipelines is a strong plus
  • Understanding of data modeling and working with large-scale datasets (batch and streaming)

Nice to have

  • Familiarity with agent-based systems, MCP integrations, or LLM-powered applications is a strong plus

Compensation

  • $1,200 per year Health & Wellness Allowance to support your personal goals*

Benefits

  • Flexible PTO with U.S. holidays observed and an end of year shutdown in December to rest and recharge*
  • A competitive health insurance plan covers 100% of the policyholder and 75% for dependents*
  • Function Health membership
  • 12 weeks of paid parental leave in the US*
  • $500 work-from-home stipend to be used up to a year of your start date*
  • $1,200 per year Health & Wellness Allowance to support your personal goals*
  • Benefits eligibility varies by employment type and tenure.
  • $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*

Company info

  • 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.
  • 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.

Visa & Work Authorization

  • We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation

This listing is sourced directly from You.com's careers page and normalized into a canonical job model.