Data Engineer

At Daydream, we’re building the future of growth marketing. Our mission: companies pay for outcomes, not just tools. To make that real, we’ve built a vertically integrated software-and-services stack that delivers fast, repeatable, and reliable growth. Today, we run AI-powered SEO for companies like Replit, Clay, and Hims. Tomorrow, we’ll expand across every major growth channel.

Growth marketing is hard to get right — great talent is scarce, agencies are slow, and results are inconsistent. We’re changing that by combining world-class AI systems with expert operators to automate the hardest parts of growth and deliver compounding advantages. Backed by $20M+ from top VCs and growth leaders from Notion, Webflow, and Dropbox — plus operators like Lenny Rachitsky and Eli Schwartz (Product-Led SEO) — we’re building with people who know growth inside and out. And we’re just getting started.

As a Data Engineer, you'll be the backbone of our data-driven approach. You’ll design the pipelines that power every stage of our growth playbooks — from scraping large volumes of web data to analyzing what actually drives traffic and conversions.

Please note: This is an in-person role at our Hayes Valley office in San Francisco. For candidates outside the Bay Area, we offer paid relocation.

What You’ll Do

• Design and scale web scraping pipelines to collect and structure content at large volumes across different verticals.
• Build systems to track and analyze the effectiveness of thousands of SEO assets, turning raw data into insights and dashboards.
• Build internal tools that allow our growth leads to ideate, launch, and test strategies at scale—backed by data, not gut feel.
• Work closely with engineering, design, and growth to embed data workflows into our product stack.
• Stay on top of the latest in data engineering, SEO, and AI—share learnings internally and contribute to a culture of technical excellence.
  
  

Our stack

• Python
• Web Automation (Selenium/Playwright)
• Postgres
• LLMs (GPT, Claude, Gemini) — used for data pipelines, analytical workflows, and automations
  
  

You’ll be an excellent fit if you

• Have strong Python skills and experience with large-scale web automation
• Plus if you have experience with Pandas for scalable data manipulation and cleaning
• Are comfortable designing reliable, scalable data pipelines
• Have experience with data visualization and communicating insights clearly
• Enjoy fast-paced environments and can quickly iterate on ideas
• Can collaborate across technical and non-technical teams
• Are curious and driven to solve messy, unstructured problems with clean systems
  
  

What we offer

• Competitive salary and equity
• Two company offsites per year (our most recent offsite was in Hawaii 🏝️)
• Unlimited time off (PTO)
• Health, dental, and vision insurance
• Monthly team dinners
• Paid lunches, snacks and drinks
• Monthly transportation stipends
• Yearly health and education stipends
  
  

Compensation Range: $160K - $200K