Senior Data Engineer

Origami Risk delivers single-platform SaaS solutions for risk, insurance, compliance, and safety management. The Senior Data Engineer will help modernize and scale the company’s data platform by designing AWS- and Databricks-based data pipelines, distributed systems, APIs, and analytical data workflows. The role also supports existing ingestion processes, ensures data quality and governance, and collaborates with engineering, architecture, analytics, and product teams.

Responsibilities:

• Designs and implements scalable data-ingestion pipelines using AWS services (e.g., S3, Lambda, API Gateway, Glue, Step Functions, Amazon Bedrock, Amazon Agent Core) and Azure DevOps
• 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
• • 7+ years in Data Engineering or related role
• • 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