Senior Data Engineer

📋 Description

• Develop scalable data pipelines and build new integrations to support continued growth in data
• Build a robust Data Lakehouse that supports Vericast's marketing solutions and clients, including
• Collaborate with AI, Analytics, and business teams to improve data models for AI and analytics
• Implement processes to monitor data quality and ensure availability and accuracy of production data.
• Perform data analysis to troubleshoot data-related issues and support resolution.
• Provide post-deployment support and quickly resolve production issues.

🎯 Requirements

• Bachelor's or Master's in CS/IT or related field; 5+ years in Data Engineering or related.
• 5+ years of experience in Data Engineering, ETL, or Data Platform Engineering.
• Experience in FI/Banking/FinTech/MarTech/Marketing environments and handling customer, campaign, or
• Strong Python and PySpark for building production-grade data pipelines.
• Experience with Data Lakehouse, Apache Airflow, Iceberg, Hive, S3, Trino.
• Cloud experience (AWS/Azure/GCP) and Agile methodologies; GitLab/CI/CD.

🎁 Benefits

• Salary range: $130,000 - $150,000 per year.
• Health, dental, vision coverage; 401K; PTO; life insurance; additional benefits.