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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Origami Risk - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $97,000.0 - $122,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Microsoft Azure, C Sharp (Programming Language), Software as a Service, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Relational Databases, Software Design Patterns, Distributed Systems, Python (Programming Language), Microsoft SQL Server, Data Processing, Cloud Platform System, Apache Spark, Information Technology, Machine Learning Operations, Functional Programming, Api Design, Api Gateway, Stream Processing, Data Pipelines, Databricks - **Published:** September 4, 2026 - **Apply:** https://www.builtincolorado.com/job/data-engineer/11009223?handler=ApplyRedirect ## About the Role * 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 ## Description 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 ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)