Job description

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. 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. 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. Additionally, you will help power next-generation AI-driven applications , including agent-based systems and AI driven tools using OSS tech, by building robust data foundations and pipelines. 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 Monitor pipeline performance, troubleshoot issues, and ensure high data reliability and quality Implement data quality checks, validations, and alerting mechanisms across both ingestion and activation layers Collaborate with cross-functional teams to define data contracts and ensure consistency across systems Qualifications 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 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 is a strong plus 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) 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 Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations. Salary Band $180,000 — $220,000 USD Company Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions 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* 401k program, 3% match - vested immediately!* $500 work-from-home stipend to be used up to a year of your start date* $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses* $1,200 per year Health & Wellness Allowance to support your personal goals* The chance to collaborate with a team at the forefront of AI research *Benefits eligibility varies by employment type and tenure. You.com participates in E-Verify. 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 / Right to Work ) We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process. Beware of Recruiting Scams: You.com will only contact you through official @ You.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Use of AI Tools During Our Hiring Process: At You.com, we're thoughtful about how we use AI throughout our business — including our hiring process. During certain stages of the interview process, we may use AI-powered tools to assist with administrative tasks such as scheduling, note-taking, transcription, or summarizing interview discussions. These tools are intended to support our interviewers by improving accuracy and efficiency — they do not make hiring decisions or replace human judgment. All employment decisions are made by our recruiting team and hiring managers based on a holistic review of each candidate and applicable evaluation criteria. If AI-assisted note-taking or transcription may be used during your interview, we will notify you in advance. If you prefer not to participate in an interview that uses these tools, you may opt out by informing your recruiter before your scheduled interview. We will work with you to provide an alternative interview experience where reasonably practicable. Information collected during the hiring process is handled in accordance with our Privacy Policy and applicable law. By continuing with the application process, you acknowledge that you have read this notice. If AI-assisted tools are used during your interview and you have not opted out after receiving notice, you consent to their use as described above, where permitted by applicable law.

Requirements

Must-haves

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
Monitor pipeline performance, troubleshoot issues, and ensure high data reliability and quality
Implement data quality checks, validations, and alerting mechanisms across both ingestion and activation layers
Collaborate with cross-functional teams to define data contracts and ensure consistency across systems
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
Familiarity with agent-based systems, MCP integrations, or LLM-powered applications is a strong plus
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)
Experience creating dashboards and supporting reporting workflows (BI tools) for both internal and external audiences

Nice-to-haves

Experience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

401k

Pto

Parental Leave

Wellness