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

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

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