We are growing and expanding our team!
We’re looking for a curious, hands-on Data Engineer to join our growing team. You’ll get the chance to build your own data products from the ground up, working across data warehousing, web scraping, and ETL pipelines — and gain real-world experience in data and AI engineering along the way.
This is a startup environment — you’ll have freedom to experiment, learn, and make an impact from day one.
What You’ll Do
• Build and maintain automated data pipelines for scraping, transforming, and integrating data from multiple sources.
• Design and manage data warehouses and scalable data marts for analytics and product insights.
• Develop ETL workflows to turn raw data into clean, usable datasets.
• Automate, monitor, and optimize pipelines using modern tools (Airflow, Prefect, etc.).
• Collaborate with product operations and engineering teams to power data-driven features and decisions.
What You’ll Bring
• 1-3 years of hands-on experience as a Data Engineer (or a strong data-focused developer).
• Strong Python and SQL skills — you love clean, efficient data code.
• Experience with web scraping (Scrapy, Playwright, Selenium, etc.).
• Solid grasp of ETL and data warehousing concepts.
• Familiarity with cloud environments (AWS, GCP, or Azure).
Bonus points if you have:
• Worked with APIs, streaming data, or orchestration tools (Airflow, Prefect).
• Exposure to Docker, Git, or data visualization tools (Metabase, Power BI, Tableau).
• Curiosity about AI pipelines, LLM data prep, or MLOps — we love that mindset!
Why You’ll Love It Here
• Build your own data products from the ground up.
• A safe space to learn, experiment, and grow in data & AI engineering.
• Work in a fast-paced, impact-driven startup environment.
• Collaborate with a passionate team that values autonomy and creativity.
