Data Engineer

🕒 April 2

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You.com

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

⚡ Productivity

☁️ SaaS

Artificial Intelligence • Productivity • SaaS

You. com is a platform that enhances productivity through the use of AI-driven assistants in various fields including marketing, sales, engineering, product development, and data analysis. It offers customized solutions like a Genius Assistant for complex problems and a Research Assistant for in-depth insights. The platform allows users to create their own custom AI assistants to meet specific needs. You. com incorporates advanced technologies like GPT-4 to provide smart, customizable solutions for business and research purposes.

📋 Description

• Build and maintain scalable data pipelines (batch and streaming) using tools like Databricks, Spark, Kafka, and AWS services • Design, develop, and optimize ETL/ELT workflows using DBT, PySpark, SQL, and tools like Fivetran • 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 RAG pipelines and MCP (Model Context Protocol) integrations • 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

🎯 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 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 marketing, Product or growth teams on data use cases (segmentation, attribution, campaign analytics, etc.) • 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

🏖️ Benefits

• 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 a week shutdown in December to rest and recharge* • 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* • $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