Sr. Data Engineer (Hybrid - Addison, TX)

Overview The Senior Data Engineer will play a lead role in acquiring, transforming, optimizing, and integrating data from enterprise systems into scalable data platforms.This role requires strong hands-on expertise in Microsoft SQL Server, advanced TSQL development, query optimization, indexing strategies, stored procedure performance tuning, and Azure Data Factory-based integration. The individual will design high-performance data solutions, mentor junior engineers, and collaborate across functions to deliver reliable enterprise data platforms.Healthcare data experience highly preferred.NOTE: THIS IS A HYBRID ROLE. MUST BE WILLING TO COMMUTE TO THE ADDISON, TX. OFFICE 3 DAYS PER WEEK! Responsibilities PRIMARY DUTIES• Lead the integration of data from Clinical/Healthcare Practice Management Systems, Electronic Medical Record (EMRs), HR, Accounting, Customer Relationship Management (CRM), and other enterprise systems.• Design, develop, and optimize SQL Server database objects, including tables, views, stored procedures, functions, triggers, indexes, staging tables, and data warehouse structures. • Tune complex T-SQL queries, stored procedures, and ETL workloads using execution plans, indexing strategies, statistics, query rewrites, and other troubleshooting techniques. • Monitor and troubleshoot SQL Server performance issues related to long-running queries, blocking, deadlocks, tempdb usage, data volume growth, and inefficient ETL patterns. • Drive and oversee scalable database architectures and data platforms supporting multiple business lines.• Design and optimize complex ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high reliability and performance.• Orchestrate pipelines that leverage AI/LLMs for data extraction from various documents and sources.• Conduct advanced data profiling, cleansing, and transformation for analytics and reporting teams.• Drive implementation of Master Data Management (MDM) strategies to ensure data consistency and integrity.• Identify process improvement opportunities and spearhead automation to reduce delivery time and increase quality.• Establish and maintain comprehensive data lineage, monitoring, and operational tracking systems.• Provide hands-on support while mentoring junior engineers and contributing to a culture of knowledge sharing and continuous improvement.• Collaborate closely with stakeholders to gather evolving data requirements and translate them into scalable technical solutions.• Maintain high standards for code quality through documentation, source control, code reviews, and rigorous testing practices.• Identify integration gaps, recommend solutions, and ensure continuous improvement of data processes.• Establish and enforce best practices for data engineering and integration across the team.• Explore and evaluate emerging Azure features, leading proofs of concept to assess fit for purpose. Qualifications MINIMUM QUALIFICATIONS AND REQUIREMENTS• 7+ years of experience in database development.• 3+ years of deep hands-on experience with Azure Data Factory (ADF).• 2+ years of experience with healthcare and/or financial data or other highly regulated vertical segments.• 1+ years of experience using python• Strong working knowledge of Azure ecosystem tools.• Advanced proficiency in T-SQL and SQL Server.• Strong grasp of data modeling, indexing, and schema design principles.• Proven ability to manage multiple priorities and drive solutions from conception to production.• Effective collaborator and communicator, capable of interfacing with all stakeholders.• Bachelor's degree or higher.PREFERRED EXPERIENCE• Experience working with data integration related to Healthcare EDI files, such as 835, 837, etc.• Experience working on data extraction from documents using AI/LLMs.NOTE: This position follows a hybrid work model with a minimum of 3 days per week in our Addison, TX office.Job SummaryID: 2026-2944Job Locations: US-TX-AddisonCategory: Information TechnologyType: Full Time