Azure Data Engineer

About This Role

The Azure Data Engineer will evaluate, optimize, and modernize enterprise data warehouse environments, focusing on delivering secure, scalable, and future-ready solutions aligned with government Data/AI strategies. This role requires deep technical skills in Azure data engineering and practical data integration expertise.

Responsibilities

• Assess the current state of the enterprise data warehouse, identifying gaps and optimization opportunities
• Build and maintain ETL/ELT pipelines, emphasizing metadata models and automation scripts to improve performance
• Deliver hands-on engineering solutions across Azure Data Factory, Synapse Analytics, Data Lake, and SQL/Managed Instances
• Prepare designs for supporting database systems and implement measures to improve performance and scalability
• Collaborate with cross-functional teams to align engineering delivery with strategic objectives and roadmap execution
• Maintain awareness of industry trends in BI/reporting (Microsoft Fabric, Power BI) and apply them in support of engineering tasks
• Support projection planning with experience in execution roadmap and scalability alignment planning
• Develop, enhance, and troubleshoot pipelines, datasets, SQL queries, stored procedures, and integrated runtimes in the Azure data environment
• Manage connections between the data factory, SQL managed instances, Power BI, Power Apps, and external/on-prem environments
• Research, engineer, and implement new technologies to enhance data factory operations, migrations, and integrations
• Document all new and current configurations, implementations, and developments to ensure continuity and support

Requirements

• US Citizen with Active Secret Clearance
• 5+ years engineering Azure data solutions (ETL/ELT, ADF, Synapse, Data Lake, SQL)
• Background in SQL, data modeling, OLAP, and ETL/ELT processes
• Experience building and optimizing metadata-driven ETL pipelines
• Understanding of programming concepts (Python, PowerShell, Java, JavaScript, PL/SQL)
• Ability to adapt quickly in large-scale enterprise implementation environments

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field (or equivalent experience)
• 5+ years of demonstrated experience engineering Azure data solutions (ETL/ELT, ADF, Synapse, Data Lake, SQL) to optimize performance, automate pipelines, and deliver scalable, future-ready data environments. 1-2 years of execution roadmap and 3-5 years of scalability alignment planning experience.

Nice to Have

• Experience with data governance, metadata management, and compliance frameworks
• AWS Certified Data Analytics – Specialty or Google Professional Data Engineer
• Knowledge of AI/ML integrations in data analytics
• Familiarity with government or regulated industry data environments

Skills

* Required skills

Benefits

Certifications