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Senior Data Engineer
Origami RiskSenior 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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSAzureETL.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