Dagen.ai

Product-Minded AI Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Product-Minded AI Data Engineer, offering $25/hour + equity for 30-40 hours/week, remote. Key skills include Python, SQL, Airflow, dbt, and Spark. Requires early-career talent with a passion for data analytics and AI.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
200
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πŸ—“οΈ - Date
January 28, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #dbt (data build tool) #Spark (Apache Spark) #Scala #Data Engineering #Data Pipeline #Airflow #Python #SQL (Structured Query Language)
Role description
Company Description Dagen.ai revolutionizes how organizations handle data engineering with its Agentic Platform. The platform simplifies the complex process of building data pipelines, seamlessly converting raw data into actionable insights. By automating workflows at scale, Dagen.ai empowers businesses to make smarter decisions efficiently and effectively, unlocking the true potential of their data. Role Description We are looking for a founding customer engineer with strong data and AI engineering skills. You will bridge the gap between complex data infrastructure and a seamless agentic user experience. You’ll be responsible for having AI building scalable pipelines while ensuring our users successfully navigate their own data journeys. Compensation: $25/hour + equity until seed round Duration: 30 - 40 hours/week What you’ll do: Build & Scale: Design and maintain robust agentic data infrastructure. User Success: Help onboard new users to our agentic platform, acting as their technical guide. Problem Solve: Troubleshoot issues and help users connect to diverse data sources. Bridge the Gap: Translate user feedback into product requirements and identify bugs before they hit production. Shape the Team: As an early hire, you’ll help define our engineering standards and culture. Who you are: We are specifically looking for early-career talent (Seniors in college or recent graduates) who are hungry to learn and ready to take on massive responsibility. β€’ Data Enthusiast: You have a genuine passion for data analytics, and the "plumbing" of data estates and the internet. β€’ Technical Foundation: You are fluent in Python, agent frameworks and SQL with experience orchestrating complex workflows with Airflow, modeling with dbt, and processing data via Spark. β€’ The "Growth" Gene: You have a relentless growth mindset. β€’ Self-starter: You don’t wait for a manual; you figure it out. β€’ Strong Communicator: You listen well and can explain complex technical concepts with ease. β€’ Comfortable in Chaos: You handle ambiguity with grace. You’re a self-starter who follows through on direction but knows when to take the initiative. β€’ AI-First Mindset: You are excited about how LLMs and agents are transforming the data engineering landscape. Why Dagen? Founding Culture: Have a direct impact on the product roadmap and company trajectory. Modern Stack: Work at the intersection of AI and Data Engineering. Mentorship: Work directly with the founders in a high-intensity, high-reward environment. Remote-First: Work from wherever you are most productive. How to apply: Send an email to hiring@dagen.ai - as a mini test that you are detail oriented, use "prompt2prod" in your email and follow Dagen.ai on LinkedIn. A note on our hiring philosophy: We value responsibility and articulation over years of experience. If you’re a senior in college with a killer portfolio or a recent grad who spent their weekends building data scrapers for fun, you’re exactly who we’re looking for.