Senior Data Engineer

CNMK Texas Properties, LLC. is hiring a Senior Data Engineer in Plano, TX (onsite) to build and support scalable enterprise data solutions with Microsoft Fabric and Azure. In this hands-on role, you will help improve data pipelines and strengthen AI-ready data products that power trusted analytics and Power BI experiences. The role combines engineering excellence with practical production ownership, supported by modern tooling and platform guardrails.

What you’ll do

• Design, develop, test, deploy, troubleshoot, and optimize enterprise data pipelines and data solutions using Microsoft Fabric, Azure, SQL, Python, Spark, and related technologies.
• Build scalable ingestion, transformation, and data processing frameworks for batch and near-real-time workloads across multiple enterprise data sources.
• Develop and maintain Bronze, Silver, and Gold data layers, applying enterprise modeling patterns including Data Vault 2.0 and dimensional or curated models where appropriate.
• Create and maintain dbt models, reusable transformation frameworks, documentation, automated tests, and engineering standards.
• Partner with technical leadership to implement enterprise data architecture patterns, engineering standards, reusable frameworks, and platform guardrails.
• Deliver CI/CD and DevOps practices for data engineering solutions, including source control, automated testing, and deployment pipelines.
• Implement data quality controls, reconciliation, monitoring, alerting, lineage, and observability to identify and resolve issues proactively.
• Support production operations by troubleshooting pipeline failures, performance issues, data defects, and critical incidents, including root-cause analysis and permanent fixes.
• Optimize performance, scalability, reliability, and cost by improving pipelines, SQL queries, Spark workloads, storage, and compute utilization.
• Apply security, access controls, data protection, and governance requirements in collaboration with architecture, governance, and security teams.
• Work with BI, analytics, and business stakeholders to deliver trusted, analytics-ready data products and support Power BI semantic models and reporting solutions.
• Support migration and modernization of legacy ETL and data warehouse workloads to Microsoft Fabric, ensuring reconciliation, business continuity, and production readiness.
• Maintain technical documentation including solution designs, data mappings, operational runbooks, support procedures, and production-readiness artifacts.
• Use AI-assisted engineering capabilities to improve developer productivity, accelerate SQL/Python development, support code quality, automate documentation and testing, and strengthen troubleshooting and root-cause analysis.
• Enable AI-ready data products by ensuring data is trusted, well-modeled, governed, documented, and accessible for AI, machine learning, natural-language querying, and advanced analytics use cases.

Requirements

• Bachelor’s degree in computer science, Engineering, Math or a related field (required)
• Master’s degree (preferred)
• 5+ years of experience in data engineering, data warehousing, ETL/ELT, or enterprise analytics platforms with demonstrated production-grade delivery
• Strong hands-on SQL and experience with Python and/or PySpark
• Experience with Microsoft Fabric, Azure Data Factory, Azure Data Lake Storage, Synapse, Databricks, or similar modern cloud data platforms
• Strong understanding of data modeling, dimensional modeling, data lake/lakehouse patterns, and enterprise data architecture concepts
• Experience with data quality, monitoring, observability, automated testing, and production support
• Experience with Git, CI/CD, DevOps, and automated deployment practices
• Strong analytical, troubleshooting, communication, and cross-functional collaboration skills
• Experience with or knowledge of Agile methodologies
• Ability to learn new technologies and analytics techniques
• Communication skills to develop and present solutions to all levels of management
• Must be able to interact effectively and patiently with customers, including under pressure
• Ability to manage multiple projects/tasks to meet deadlines for self and others
• Ability to establish and maintain positive working relationships
• Attention to accuracy and detail, strong problem-solving skills, and capability to evolve data into knowledge
• Passion for delivering highly available, robust BI solutions
• Knowledge of best practices and IT operations in an always-up, always-available service

Technologies you’ll work with

• Microsoft Fabric, Azure, SQL, Python, Spark, dbt, Data Vault 2.0
• Azure Data Factory, Azure Data Lake Storage, Synapse, Databricks
• Git, CI/CD, DevOps, Power BI
• ETL, ELT, PySpark
• Microsoft Purview, OneLake, Fabric Data Engineering, Fabric Data Factory
• Copilot, Microsoft Copilot
• AI/ML, Generative AI

Benefits

• Employee Discount
• 401(k) Matching*
• Growth Opportunities
• Education Assistance*
• Health Benefits*
• Parental Leave*
• Paid Time Off*
• Daily Pay*
• Free Movies*

Preferred skills

• Hands-on experience with Microsoft Fabric, OneLake, Fabric Data Engineering, Fabric Data Factory, and related platform capabilities
• Experience with dbt Core and Data Vault 2.0
• Experience with Microsoft Purview for metadata management, lineage, governance, and data catalog capabilities
• Exposure to AI/ML, generative AI, Microsoft Copilot capabilities, or AI-assisted data and analytics engineering