🛠 Tech Stack

💼 About This Role

You'll own the end-to-end data platform at America's top cosmetic surgery specialist. You will build high-scale pipelines and optimize cloud resources to ensure trusted, timely data for executives. This role offers the opportunity to drive architecture decisions in a dynamic, high-energy environment.

🎯 What You'll Do

• Design and maintain scalable data pipelines in Databricks with Spark SQL and PySpark.
• Manage Azure data services including Data Lake Storage and Key Vault.
• Translate analytic requirements into robust ETL workflows and data infrastructure.
• Implement CI/CD workflows and automated testing for code deployments.

📋 Requirements

• 4+ years in data engineering or related roles.
• Expert-level Python and advanced SQL (PostgreSQL/Spark-SQL).
• Production experience with Databricks, Spark, and Delta Lake.
• Hands-on configuring and securing Azure data services.

✨ Nice to Have

• Bachelor's or Master's in Computer Science or related field.
• Azure certifications (DP-203, AZ-305) or Databricks Data Engineer Professional.
• Experience with BI tools (Tableau / Power BI).

🎁 Benefits & Perks

• 🏥 Medical, Dental, Vision insurance coverage.
• 💰 401k with match and Life Insurance.
• 🎉 PTO and paid holidays.
• 🏖️ EAP employee assistance program.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min