🛠 Tech Stack

💼 About This Role

You'll build large, scalable analytics pipelines using modern Big Data technologies like Spark and Databricks. You'll own data architecture for multiple large-scale projects, collaborating with engineers and data scientists. This role offers the chance to build from the ground up with minimal technical debt.

🎯 What You'll Do

• Define data models and develop Spark/SparkSQL jobs to populate them
• Design data integrations, quality frameworks, and evaluate lineage tools
• Own data architecture for large-scale projects, balancing cost-benefit tradeoffs
• Build data models and visualizations supporting multiple products or domains

📋 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 schema design and medallion architectures (7+ years)
• Experience with Airflow or similar orchestration frameworks
• Experience with MonteCarlo or similar data quality monitoring tools

🎁 Benefits & Perks

• 🏖️ Remote work flexibility within select US locations
• 💰 Competitive salary with zone-based pay ranges
• 📈 Equity as part of compensation
• 🏥 Health insurance and wellness benefits
• 🎓 Professional development opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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

🚩 Heads Up

• On-call rotation requirement may impact work-life balance