Technical Engineer

Links Technology Solutions, Inc.; Irvine (CA); Híbrido; USD 83 000 - 96 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

401(k) matching

Long‑term contract

Resumo da oferta

Links Technology Solutions, Inc. in Irvine, CA is seeking a Senior Technical Engineer with strong Python, C#/.NET Core, and Databricks expertise to lead cloud-native data pipelines and platform modernization.

You will design scalable solutions, mentor teams, and collaborate with product and data stakeholders, applying AI and modern DevOps practices in a fast-paced financial services environment.

Qualificações

• Experience with Databricks for data pipelines and distributed processing.

Responsabilidades

• Lead architecture and development of cloud-native applications and data engineering solutions.

Conhecimentos

Databricks

Python

C#/.NET Core

REST APIs

Microservices

SQL

Cloud platforms (AWS/Azure)

Docker/Kubernetes

CI/CD

AI/ML

Architecture

Mentorship

Stakeholder mgmt

Ferramentas

Docker

Kubernetes

Snowflake

dbt

SQL Server

MongoDB

Elasticsearch

React

Descrição da oferta de emprego

SENIOR TECHNICAL ENGINEER – PYTHON / .NET / DATABRICKS

Location: Irvine, CA (Hybrid role - Must reside in or near Irvine, CA)

Pay Rate: $60–$70 per hour

Duration: 18+ Month Contract

Our financial services client is seeking an experienced Senior Technical Engineer with strong expertise in Python, C#/.NET Core, Databricks, cloud technologies, and modern data engineering. This role combines hands‑on software development, solution architecture, and technical leadership to support complex investment management and financial technology platforms.

Description – Senior Technical Engineer – Python / .NET / Databricks:

• Lead the architecture, design, and development of scalable cloud-native applications and data engineering solutions.
• Design, develop, and optimize data pipelines and processing frameworks using Python, Databricks, SQL, and cloud-based technologies.
• Develop microservices, REST APIs, and enterprise integration solutions using C#/.NET Core and Python.
• Apply AI-first engineering approaches, including generative AI, machine learning, intelligent automation, and data‑driven solutions.
• Design and integrate structured and unstructured data across enterprise applications and platforms.
• Support financial services applications, including investment management, fixed‑income solutions, reporting, and data integration.
• Contribute to technical architecture decisions involving scalability, performance, security, reliability, and maintainability.
• Implement software development best practices, including test‑driven development (TDD), code reviews, CI/CD, containerization, and production monitoring.
• Collaborate with product managers, architects, data engineers, and business stakeholders to translate requirements into technical solutions.
• Provide technical leadership, mentorship, and hands‑on guidance to software development and engineering teams.
• Troubleshoot complex application, integration, and data‑processing issues across distributed systems.

Qualifications – Senior Technical Engineer – Python / .NET / Databricks:

• Strong hands‑on experience with Databricks, including data pipeline development, optimization, and distributed data processing.
• Advanced programming experience with Python and C#/.NET Core.
• Strong experience developing REST APIs, microservices, and enterprise integration frameworks.
• Proficiency with SQL, relational databases, and modern data engineering technologies.
• Hands‑on experience with cloud platforms, preferably AWS or Microsoft Azure.
• Experience with Docker, Kubernetes, containerization, and automated CI/CD pipelines.
• Demonstrated experience or strong working knowledge of generative AI, machine learning, and AI‑driven automation.
• Strong understanding of software architecture, application modernization, data integration, and engineering best practices.
• Experience leading technical workstreams, mentoring developers, and contributing to architecture decisions.
• Strong communication, problem‑solving, and stakeholder‑management skills.
• Experience in financial services or another highly regulated, data‑intensive industry.

Preferred Qualifications:

• Experience with Snowflake, dbt, SQL Server, MongoDB, or Elasticsearch.
• Knowledge of investment management systems, fixed‑income technology, or financial data platforms.
• Experience integrating with Charles River Investment Management Solution (CRIMS) or similar investment platforms.
• Familiarity with React, Next.js, or other modern front‑end technologies.
• Experience with monitoring and observability tools such as Splunk, Kibana, or Grafana.
• Exposure to large language models (LLMs), retrieval‑augmented generation (RAG), enterprise AI platforms, or MLOps.
• Experience supporting complex enterprise financial applications and cloud‑based data architectures.

Benefits:

• Competitive pay rate of $60–$70 per hour.
• Available health, life, vision, and dental insurance.
• 401(k) matching.
• Long‑term contract opportunity (18+ months).
• Opportunity to work with modern cloud, AI, and data engineering technologies.
• Collaborative engineering environment with opportunities for technical leadership and professional growth.