Data Engineer

Origami Risk is a company that delivers single-platform SaaS solutions for risk management. They are seeking a Data Engineer to enable data flow into and out of their multi-tenant SaaS platform while transitioning to a cloud-native architecture on AWS.

Responsibilities:

• Designs and implements scalable data ingestion pipelines using AWS services (e.g., S3, Lambda, API Gateway, Glue, Step Functions)
• Builds APIs and file upload mechanisms for client data ingestion
• Develops data mapping and transformation workflows for loading into SQL Server client databases
• Contributes to the design and implementation of a data lakehouse architecture leveraging Databricks
• Enables seamless data flow from the SaaS platform to the analytical platform
• Optimizes ETL/ELT processes for performance and reliability
• Collaborates with analytics teams to ensure data availability and quality for reporting and machine learning use cases
• Provides operational support for existing ingestion processes integrated into C# .NET code and UI
• Troubleshoots and resolves data pipeline issues across environments
• Works closely with Software Engineers, Architects, and Product teams to align data solutions with business needs
• Implements best practices for data governance, security, and compliance in a multi-tenant environment
• Documents architecture, workflows, and operational procedures

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field required
• 3+ years in Data Engineering or related roles
• Strong experience with AWS services for data engineering (S3, Lambda, Glue, Step Functions, API Gateway)
• Proficiency in Python and/or C# .NET for data processing and integration
• Hands-on experience with SQL Server and relational database concepts
• Familiarity with Databricks, Spark, and lakehouse architectures
• Knowledge of ETL/ELT design patterns and data modeling
• Experience building APIs and file-based ingestion solutions
• Exposure to multi-tenant SaaS environments is a plus
• Strong problem-solving and analytical skills
• Ability to work collaboratively in a cross-functional team
• Excellent communication and documentation skills
• Experience with CI/CD pipelines for data workflows
• Knowledge of data governance and security best practices in cloud environments
• Familiarity with modern data integration tools and frameworks
• Exposure to machine learning pipelines and real-time data processing