🛠 Tech Stack

💼 About This Role

You'll join the Data Engineering team to build scalable data pipelines and data products that drive business and customer impact. You'll partner with analytics, product, and engineering teams to solve loosely defined problems end-to-end. This role offers the chance to work with cutting-edge cloud platforms like Snowflake, Redshift, or BigQuery and leverage AI in data engineering.

🎯 What You'll Do

• Design and build scalable data pipelines and ETL workflows
• Ingest data from APIs, databases, SaaS apps, and event streams
• Partner with analytics, product, and engineering teams on data solutions
• Implement CI/CD, automated testing, and data observability

📋 Requirements

• 8-10+ years of industry experience in data engineering
• Strong proficiency in SQL and a programming language like Python, Scala, or Java
• Hands-on experience with dbt for reliable data transformations
• Experience with cloud platforms like Snowflake, Redshift, BigQuery, or Databricks

✨ Nice to Have

• Familiarity with AI and automation in data engineering
• Experience with monitoring, alerting, and incident response for data pipelines
• Proven ability to optimize performance and cost

🎁 Benefits & Perks

• 💰 Competitive base pay and equity (RSUs)
• 🏖️ Flexible work arrangements with hybrid office expectations
• 🏥 Health insurance and 401(k) plans
• 📈 Career growth in a supportive team environment

📨 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