Data Engineer

Designs and scales cloud-native data platforms and ingestion pipelines using AWS, Databricks, and Spark. Builds APIs, file-upload mechanisms, ETL/ELT workflows, data transformations, and Lakehouse architecture supporting analytics, machine learning, and operational use cases. Provides operational support for legacy C# .NET ingestion processes, troubleshoots pipelines, and promotes data governance, security, reliability, and documentation in a multi-tenant SaaS environment., The Data Engineer plays a pivotal role within our expanding Data and AI team. This person helps build and scale our next-generation data platform, starting with our modernization initiative; transitioning from legacy ingestion processes embedded in C# .NET code to a scalable, cloud-native architecture on AWS and expanding into our Databricks analytical data platform for advanced processing and analytics. This is a highly impactful, hands-on role responsible for designing and implementing AI-assisted data pipelines and distributed systems that power data product, analytics, data science, and operational use cases., * 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

• Bachelor’s degree in Computer Science, Information Technology, or a related field required
• 5+ 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

Preferred Qualifications:

• 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

Starting base pay for this role is between $97,000 and $122,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states)., * Medical and Dental coverage available for employees, dependents, domestic partners, and spouses

• Paid Time Off - Flexible options plus 10 paid company holidays where available**
• All full-time positions are hybrid, with many eligible to be completely remote
• 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

Origami Risk delivers single-platform SaaS solutions that help organizations best navigate the complexities of risk, insurance, compliance, and safety management.

Founded by industry veterans who recognized the need for risk management technology that was more configurable, intuitive, and scalable, Origami continues to add to its innovative product offerings for managing both insurable and uninsurable risk; facilitating compliance; improving safety; and helping insurers, MGAs, TPAs, and brokers provide enhanced services that drive results.

A singular focus on client success underlies Origami’s approach to developing, implementing, and supporting our award-winning software solutions.

Origami Risk is proud to be an equal opportunity employer. We thrive and benefit from diversity and are committed to creating an inclusive and equitable environment for all employees. We do not discriminate against any individual based upon race, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, color, sex, national origin, age, marital status, military or veteran status, disability, or any other characteristic protected by applicable law.