🛠 Tech Stack

💼 About This Role

You'll design and build data platforms on Databricks and Spark to power company-wide data-driven decisions. You'll own end-to-end data pipelines, modeling, and best practices, enabling analytics, reporting, and data products. This role offers technical leadership in a growing company supporting local businesses.

🎯 What You'll Do

• Design and build data pipelines on Databricks and Spark.
• Own data modeling architecture and enforce standards.
• Implement data quality checks and performance tuning.
• Collaborate with analysts, scientists, and engineering teams.

📋 Requirements

• 7+ years as a Data Engineer or similar role.
• Strong hands-on experience with Databricks.
• Advanced Apache Spark experience.
• Expert-level SQL skills.

✨ Nice to Have

• Experience in payments, fintech, or financial services.
• Streaming experience with Spark Structured Streaming, Kafka, or Kinesis.
• Familiarity with dbt or Airflow.

🎁 Benefits & Perks

• 💰 401k with company match
• 🏥 Medical, Dental, and Vision Plans
• 🏖️ Paid Time Off
• 👶 Paid Parental Leave
• 🌍 Paid Volunteer Leave

📨 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