🛠 Tech Stack

💼 About This Role

You'll design and build scalable data architectures and pipelines for a professional services firm. Your core impact will be assembling complex datasets and enabling analysts with clean, accessible data. You'll work with modern cloud platforms like AWS and tools like Spark and Airflow.

🎯 What You'll Do

• Design and create overall data architecture including databases and processing systems
• Develop and maintain scalable ETL pipelines using Python and cloud services
• Implement data governance, quality, and security best practices
• Optimize data retrieval and build dashboards and reports

📋 Requirements

• 4-7 years of experience as a Data Engineer
• Strong proficiency in Python, Java, or Scala
• In-depth knowledge of database systems (relational and NoSQL) and data modeling
• Experience with cloud-based data platforms like AWS, Azure, or Google Cloud

✨ Nice to Have

• AWS certifications (e.g., AWS Certified Solutions Architect)
• Snowflake or Databricks certifications
• Terraform Associate certification

🎁 Benefits & Perks

• 🏥 Medical, dental, and vision insurance
• 💰 401k with Company match
• 🏖️ Paid time off (120 hours PTO accruing over one year)
• 🎉 14 paid holidays per year
• 🛡️ Short and long term disability and life insurance

📨 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