Origami RiskRemote
Data Engineer
United States of America
Full Time
3 hours ago
$97,000 - $122,000 USD
No H1B
Key skills
AWS S3AWS LambdaAWS GlueAWS Step FunctionsAWS API GatewayAzure DevOpsDatabricksSparkLakehouse architecturePythonC# .NETSQL ServerETL/ELT design patternsData modelingAPI developmentData governanceData securityC#CSQL.NETAIMachine LearningETLELTData EngineeringAnalyticsAWSAzureLambdaS3GlueBedrockAPI GatewaySaaSCI/CDRisk ManagementCommunication
About this role
Origami Risk is a company that delivers single-platform SaaS solutions for risk management, insurance, and compliance. They are seeking a Data Engineer to play a pivotal role in building and scaling their data platform, focusing on modernizing data ingestion processes and implementing AI-assisted data pipelines.
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
- 3+ 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