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 business and financial
• Collaborate with AI, Analytics, and business teams to improve data models that feed AI and
• Implement processes and systems to monitor data quality and ensure the availability and accuracy of
• Perform data analysis to troubleshoot data-related issues and support their resolution.
• Provide post-deployment support, responding quickly to resolve unexpected production issues.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field, with 5+ years of
• 5+ years of experience in Data Engineering, ETL development, or Data Platform Engineering.
• Experience working within a Financial Institution (FI), Banking, FinTech, MarTech, AdTech
• Experience supporting customer, campaign, audience, marketing performance, attribution
• Strong experience with Python and PySpark for building production-grade data pipelines.
• Experience designing, building, and supporting Data Lakehouse environments.

🎁 Benefits

• Medical, dental and vision coverage
• 401K
• Generous PTO allowance
• Life insurance
• Employee assistance program
• Pet insurance