Senior Data Engineer

Senior Data Engineer to design and operate scalable enterprise data solutions in a Microsoft Fabric and Azure environment on-site in Plano, TX .

Responsibilities

• 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 and implement 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, reusable frameworks, platform guardrails, and engineering standards
• Implement CI/CD , source control, automated testing, deployment pipelines, and DevOps practices for data engineering solutions
• Build data quality controls, reconciliation processes, monitoring, alerting, lineage, and observability to proactively detect and resolve data issues
• Support production operations by troubleshooting pipeline failures, performance issues, data defects, and critical incidents; perform root-cause analysis and implement permanent fixes
• Optimize data pipelines, SQL queries, Spark workloads, storage, and compute utilization for performance, scalability, reliability, and cost efficiency
• Implement security, access controls, data protection, and governance requirements in partnership with architecture, governance, and security teams
• Collaborate with BI, analytics, and business teams to deliver trusted, analytics-ready data products and support Power BI semantic models and reporting solutions
• Support migration and modernization of legacy ETL and enterprise 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
• Apply 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 related field is required
• Master’s degree preferred
• 5+ years of experience in data engineering, data warehousing, ETL/ELT, or enterprise analytics platforms, with experience delivering production-grade data solutions
• Strong hands-on SQL skills, plus experience with Python and/or PySpark for data engineering workloads
• Experience with Microsoft Fabric and Azure data platforms such as Azure Data Factory , Azure Data Lake Storage , Synapse , Databricks , or comparable modern cloud platforms
• Strong understanding of data modeling and enterprise architecture concepts, including dimensional modeling and data lake/lakehouse patterns
• Experience implementing data quality , monitoring , observability , automated testing, and production support practices
• Experience with Git , CI/CD , and DevOps and automated deployment practices
• Strong analytical, troubleshooting, communication, and cross-functional collaboration skills
• Experience with or knowledge of Agile software development methodologies
• Strong aptitude for learning 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 while under pressure
• Ability to work on multiple projects/tasks simultaneously to meet deadlines for self and others
• Ability to establish and maintain positive working relationships with employees
• Strong analytical and problem-solving skills with strict attention to accuracy and detail, and ability to evolve data into knowledge
• Passion for delivering highly available, robust BI solutions
• Knowledge of best practices and IT operations in an always-on, always-available service

Technologies

• 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
• Microsoft Purview

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 , metadata management, lineage, governance, and data catalog capabilities
• Exposure to AI/ML , generative AI , Microsoft Copilot capabilities, or AI-assisted data and analytics engineering