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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Principal - Data Engineering - **Company:** LTM Inc - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $120,000.0 - $140,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Computer Programming, Databases, Data as a Services, Data Architecture, Information Engineering, Data Transformation, Data Systems, Data Warehousing, Database Design, Database Security, Distributed Systems, Django Web Framework, Python (Programming Language), Networking Basics, Performance Tuning, Role-Based Access Control, User Defined Functions, SQL Stored Procedures, SQL Databases, Transact-SQL, Workflow Management Systems, Data Processing, Azure Data Factory, Sql Optimization, Large Language Models, Data Build Tool (dbt), Multi-Agent Systems, Database Optimization, Prompt Engineering, Indexer, Fastapi, Microsoft Fabric, Data Lakes, Data Management, Machine Learning Operations, Azure Synapse Analytics, Data Pipelines, Api Management, Microservices - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6170ff98bf48711f ## About the Role Do you have experience in System tuning?, Database Engineering Expertise 810 years of experience as a Database Engineer Data Engineer Strong expertise in Data modeling and database design Performance tuning and optimization Advanced SQL and TSQL Proven experience writing Complex Stored Procedures User Defined Functions UDFs Triggers Strong knowledge of Database internals Indexing and execution plans Security models and RBAC Azure Data Engineering 5 years of experience with Azure data platforms including Azure Data Factory ADF building complex pipelines and orchestrations Azure Synapse Analytics Microsoft Fabric Data lakes and data warehouse implementations Good understanding of Azure ecosystem and services Networking fundamentals in Azure VNets private endpoints etc Programming Frameworks Strong handson experience in Python including API integrations and data processing Building microservices architectures Familiarity with DBT Data Build Tool Workflow orchestration tools Frameworks such as FastAPI or Django AI LLM Agentic Systems Preferred Experience working with LLMbased interfaces AIpowered automation workflows Handson exposure to Claude or similar agentic coding frameworks Designing and building agentbased solutions Prompt engineering and tool orchestration Strong understanding of APIbased LLM integrations Autonomous or semiautonomous workflow design Preferred Qualifications Experience implementing AIdriven data solutions Exposure to MLOps or AI lifecycle management Familiarity with distributed systems and eventdriven architectures Strong problemsolving and analytical skills Soft Skills Excellent communication and stakeholder management skills Ability to work in a fastpaced collaborative environment Strong attention to detail and performance optimization mindset Skills Mandatory Skills : Azure Data Factory, Azure Synapse Analytics Other details ## Description Design develop and maintain scalable highperformance database solutions Lead initiatives in data modeling database design and performance tuning Develop and optimize complex SQL TSQL queries stored procedures functions and triggers Implement and manage RoleBased Access Control RBAC and ensure database security compliance Analyze and improve database internals indexing strategies and execution plans Build and manage endtoend data pipelines using Azure Data Factory Design and implement modern data architectures including data warehouses and data lakes using Azure Synapse and Microsoft Fabric Collaborate with crossfunctional teams to deliver scalable data engineering and analytics solutions Develop and maintain Pythonbased data services APIs and microservices Work with frameworks such as DBT FastAPI or Django to enable data transformation and service exposure Integrate data platforms with LLMbased systems and agentic workflows for intelligent automation Contribute to the design and implementation of agentic AI solutions including orchestration tool usage and API interaction patterns ## Related Videos - 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