Join a dynamic technical engineering team supporting complex financial-services platforms with a strong focus on cloud-native architecture, data engineering, and modern application development. This hybrid opportunity in Los Angeles is ideal for a hands-on engineer who enjoys solving challenging problems, building scalable solutions, and contributing to both architecture and implementation.

Responsibilities

• Lead the 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 integration frameworks using C#/.NET Core and Python.
• Support structured and unstructured data integration across enterprise systems.
• Contribute to technical decisions that improve performance, scalability, resiliency, security, and maintainability.
• Support financial-services workflows, including investment management, fixed income, reporting, and data integration.
• Promote strong engineering practices such as test-driven development, code reviews, CI/CD, containerization, and production monitoring.
• Partner with product, architecture, data, and business teams to translate requirements into practical 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.

Skills

• 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.

Preferred Skills

• Experience with Snowflake, dbt, SQL Server, MongoDB, or Elasticsearch.
• Familiarity with investment management platforms or fixed-income technology.
• Experience integrating with enterprise financial systems and trading platforms.
• Knowledge of React, Next.js, or other modern front-end technologies.
• Exposure to observability and monitoring tools such as Splunk, Kibana, or Grafana.
• Familiarity with enterprise AI platforms, retrieval-augmented generation, large language models, or MLOps practices.
• Interest in applying AI and generative AI to engineering, data, or automation use cases.

Horizontal Talent is committed to building inclusive teams where people of all backgrounds, experiences, and perspectives feel valued and supported. We believe diversity, equity, and inclusion strengthen innovation, collaboration, and success, and we encourage qualified candidates from all communities to apply.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.