
Technical Engineer (.NET/Python)
Horizontal Talent
Los Angeles, CA • 46m ago • On-site
Mid
On-site
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Quick Facts
- Role: Technical Engineer (.NET/Python)
- Focus: Cloud-native application development and data engineering for financial-services platforms
Description
Join a hands-on engineering role supporting cloud-native applications and data engineering solutions for complex financial-services platforms. You will build scalable data pipelines, microservices, and REST APIs, and help integrate structured and unstructured data across enterprise systems. The role emphasizes engineering best practices, distributed systems troubleshooting, and technical leadership.
Responsibilities
- Lead design and development of cloud-native applications and data engineering solutions
- Build and enhance scalable data pipelines using Python, Databricks, SQL, and modern cloud data services
- Develop microservices, REST APIs, and enterprise integration frameworks using C#/.NET Core and Python
- Support structured and unstructured data integration across enterprise systems
- Contribute to technical decisions to improve performance, scalability, resiliency, security, and maintainability
- Support financial-services workflows (investment management, fixed income, reporting, and data integration)
- Promote test-driven development, code reviews, CI/CD, containerization, and production monitoring
- Partner with product, architecture, data, and business teams to translate requirements into technical solutions
- Provide technical leadership, mentoring, and hands-on support to engineering teams
- Investigate and resolve complex application, integration, and data-processing issues in distributed environments
Requirements
- Strong hands-on experience with Databricks and distributed data-processing solutions
- Advanced development experience with Python and C#/.NET Core
- Experience designing and building REST APIs, microservices, and enterprise integration frameworks
- Solid knowledge of SQL and modern data engineering patterns
- Hands-on experience with cloud platforms, preferably AWS or Azure
- Working knowledge of Docker, Kubernetes, and automated CI/CD pipelines
- Understanding of software architecture, application modernization, and engineering best practices
- Experience leading technical workstreams and mentoring other engineers
- Strong communication and stakeholder collaboration skills
- Experience in Financial Services or another highly regulated, data-intensive environment
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