Data Engineer III

📋 Description

• Build pipelines populating data warehouses and lakes
• Implement tenant data security and access controls
• Support data science platforms and AI data solutions
• Integrate AI data solutions and APIs with Emburse analytics
• Work within the Platform analytics team delivering BI/data science
• Leverage Snowflake, Databricks/Spark, AWS, and Looker

🎯 Requirements

• 4+ years in data engineering for data acquisition, pipelines or analytics
• Self-sufficient in a major area of the data stack and interop with sub-systems
• Develops code for ETL: Python/Java/.NET or ETL tools
• Builds analytical tools to model/visualize data
• Relational/columnar databases; understanding OWASP
• Secure SDLC practices and code reviews

🎁 Benefits

• Competitive pay
• Flexible work
• Inclusive, collaborative culture
• Impactful work shaping finance tech