Job description

Position Description: Client: Financial Services Job Title: Cloud Data & API Engineer Location: Chicago, IL 60604 Employment Type: Full-Time, Permanent Interview Mode: In-Person Work Mode: Hybrid (3 days in office, 2 days Remote) Note: • Must be at a drivable distance from Client Location (Chicago, Illinois 60604) • Only local candidates who are comfortable working in a W2 salaried role will be considered. Job Description: Our Financial Services client is seeking a Cloud Data & API Engineer with strong expertise in Microsoft Azure, .NET, and modern data platforms, along with a growing knowledge of AI/ML technologies. This role combines cloud-native backend development, data engineering, and AI integration to deliver scalable, intelligent applications. The position involves bridging traditional systems such as SQL Server with cloud-native services, including Databricks, Azure Data Lake, Kafka, and OpenAI services. Key Responsibilities • Design and develop RESTful and GraphQL APIs using .NET (C#) on Azure App Services, Azure Functions, or containerized environments. • Build scalable data pipelines leveraging Databricks (PySpark, Delta Lake), Azure Data Factory, and Azure Data Lake Storage. • Develop and support event-driven architectures using Kafka and Azure Event Hubs. • Integrate data from diverse sources, including SQL Server, data warehouses, and streaming platforms. • Create and deploy AI-enhanced services using Azure OpenAI, LLM frameworks (e.g., LangChain, Semantic Kernel), or Databricks ML. • Collaborate with engineering, analytics, and DevOps teams to deliver production-grade, intelligent solutions. • Ensure high performance, security, and reliability across API and data systems in the cloud. Required Qualifications • Experience in backend or data engineering roles. • Strong proficiency in .NET Core / C# and API development (REST, GraphQL). • Deep understanding of Azure cloud services, including Azure Data Lake, Data Factory, Synapse, App Services, Functions, and Event Hubs. • Hands-on experience with Databricks and Apache Spark (PySpark or Scala). • Proficiency with SQL Server for data modeling, querying, and optimization. • Familiarity with Apache Kafka or Azure equivalents. • Experience integrating or experimenting with AI/ML solutions such as Azure OpenAI, MLflow, or prompt engineering. • Understanding of CI/CD, Docker, and infrastructure-as-code (Terraform/Bicep). • Awareness of security best practices, including OAuth2, managed identities, and role-based access control (RBAC). Preferred Skills • Experience with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, Prompt Flow). • Knowledge of Azure API Management, Logic Apps, or Service Bus. • Familiarity with dbt, Airflow, or similar orchestration tools. • Understanding of Responsible AI principles and AI governance in enterprise settings. • Exposure to integrating on-premises systems with cloud platforms. Why This Opportunity • Contribute to shaping a forward-looking Azure + Databricks + AI platform. • Work with a modern, dynamic tech stack to solve real-world business problems. • Join a collaborative team that values innovation, continuous learning, and impactful delivery.

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