Data Engineer

Posted Yesterday
Hiring Remotely in US
Remote or Hybrid
97K-122K Annually
Senior level
Information Technology • Insurance • Professional Services • Software • Analytics
We are an integrated insurance, risk, safety, and compliance solution for responding to real-world challenges.
The Role
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.
Summary Generated by Built In
Overview

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.


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).

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
Qualifications
  • 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
Benefits
  • 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
**Flexible PTO not available in California or the UKWho We Are

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.


Caution: Be alert to recruiting scams. We have received reports of individuals impersonating Origami Risk recruiters to deceive candidates into disclosing personal information. These impostors use fake Origami Risk domain names and email addresses. Please double-check that any email address from an Origami Risk recruiter ends with origamirisk.com or talent.icims.com. And to confirm the legitimacy of any recruiting communication, feel free to email [email protected].

Skills Required

  • Bachelor’s degree in Computer Science, Information Technology, or a related field
  • 5+ years of experience in Data Engineering or a related role
  • Strong experience with AWS data engineering services, including S3, Lambda, Glue, Step Functions, and 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
  • 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
  • Exposure to multi-tenant SaaS environments

Origami Risk Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Origami Risk and has not been reviewed or approved by Origami Risk.

  • Healthcare Strength Medical and dental options are complemented by 100% company‑paid vision, disability, and life insurance, plus mental health benefits. Wellness reimbursement and a fitness stipend further reinforce health support.
  • Leave & Time Off Breadth Flexible/unlimited PTO is paired with paid holidays, sick time, volunteer time, and bereavement leave. This breadth provides extensive coverage for rest and personal needs.
  • Parental & Family Support Up to 12 weeks of paid parental leave is available alongside childcare benefits and family medical leave. A mother’s room and flexible work arrangements support family needs.

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The Company
HQ: Chicago, IL
900 Employees
Year Founded: 2009

What We Do

Origami Risk empowers leaders in insurance, risk, and safety with a purpose-built, cloud-native platform that optimizes workflows for better data, better insights, and better collaboration. Through highly configurable solutions integrated on a single platform, Origami Risk supports the management of the full lifecycle of risk, from prevention to recovery—helping the experts reduce harm and loss, and respond more rapidly and effectively when it happens. Grounded in continuous innovation and a foundational focus on client success, Origami Risk is trusted by leading organizations to enable greater resilience as they build for the future. For more information, visit origamirisk.com

Why Work With Us

It all begins with our people. Our success is made possible by our team—individuals who are looking to take ownership of issues, display keen problem-solving ability, have the ability to work collaboratively, and possess an eagerness to learn and to share knowledge. We've built and maintained a strong culture with those who share these ambitions.

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