🛠 Tech Stack

💼 About This Role

You'll build large, scalable analytics pipelines using modern Big Data technologies, owning data architecture for multiple large-scale projects. Your work will define company-wide data assets and enable data-driven insights across products and domains. This role offers the chance to build from the ground up without being constrained by technical debt.

🎯 What You'll Do

• Help define company data assets and build Spark/SparkSQL pipelines
• Design data integrations, quality frameworks, and evaluate open source tools
• Own data architecture for multiple large-scale projects
• Collaborate with engineers, PMs, and data scientists on data needs

📋 Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with Databricks platform and data lake architectures

✨ Nice to Have

• 7+ years of SQL experience
• Experience with Airflow or similar orchestration frameworks
• Experience building data quality monitoring using Monte Carlo or similar tools

🎁 Benefits & Perks

• 💰 Competitive salary
• 🏖️ Unlimited PTO
• 🏥 Health insurance
• 📈 Equity
• 💻 Remote work

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager· 45 min