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Origami Risk

Senior Data Engineer

Origami Risk

Senior Data Engineer building and scaling next-generation data platform at Origami Risk. Designing AI-assisted data pipelines and collaborating with cross-functional teams for analytics and operational use cases.

Posted 7/6/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $117,000 - $146,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing scalable data ingestion pipelines using AWS services and Azure DevOps, with a strong focus on data governance, security, and compliance. Proficient in optimizing ETL/ELT processes and collaborating with cross-functional teams to ensure data quality and availability for analytics.

Highest-signal resume keywords
AWS Services (S3, Lambda, Glue, Step Functions, API Gateway)Python and/or C# .NETSQL Server and Relational Database ConceptsDatabricks and Lakehouse ArchitecturesETL/ELT Design Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData Ingestion PipelinesData Mapping and TransformationAPI DevelopmentETL/ELT OptimizationData GovernanceData Quality AssuranceData Lakehouse ArchitectureData ModelingTroubleshooting Data Pipeline Issues
Soft Skills
Problem-SolvingAnalytical SkillsCollaborationCommunicationDocumentation Skills
Tools & Technologies
AWSAzure DevOpsDatabricksSQL ServerSaaS Platforms
Industry Keywords
Multi-Tenant EnvironmentData GovernanceData SecurityComplianceAnalytics

Tech Stack

Tools & technologies
AWSAzureETL.NETPythonSparkSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • Medical and Dental coverage available for employees, dependents, domestic partners, and spouses
  • Paid Time Off – Flexible options plus 10 paid company holidays where available
  • Fully Paid by Origami Risk – Vision insurance, Short & Long-Term Disability Insurance, and Basic Life Insurance
  • Generous family leave options—including adoption and foster care placements
  • Pre-Tax Savings Accounts – Flexible Spending Account, Health Savings Account, Commuter Benefits, Dependent Care Savings Account
  • Retirement Savings – 401(k) with company match up to 4%
  • Employee Assistance Program (EAP) – Confidential & Free support offered to colleagues facing personal or work-related complications
  • Education Assistance Program – to help colleagues pursue industry/role-specific certifications
  • Wellness Benefits – reimbursement program to invest in healthy habits as well as support better colleague productivity and stress management
  • Additional coverages available – Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD&D coverage