Azure Data Engineer

About This Role

This role involves evaluating, optimizing, and modernizing enterprise data warehouse environments, leveraging deep technical skills and data integration expertise. The engineer will deliver secure, scalable, and future-ready Azure data solutions aligned with government Data/AI strategies.

Responsibilities

• Assess the current state of the enterprise data warehouse, identifying gaps and optimization opportunities
• Build and maintain ETL/ELT pipelines, with emphasis on metadata models and automation scripts
• 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 (1-2 year execution roadmap; 3-5 year scalability alignment planning experience)
• 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

• 5+ years of demonstrated experience 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) as relevant to the customer data environment
• Must be a U.S. Citizen with an Active US Secret Clearance

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; 1-2 years of execution roadmap and 3-5 years of scalability alignment planning experience

Nice to Have

• Microsoft Azure Solutions Architect Expert certification
• ITIL v4 Foundation certification
• SAFe Agile certifications (Agilist/Practitioner)
• 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
• Excellent communication and collaboration skills
• Ability to translate technical solutions into business value
• Proactive, solution-oriented mindset with flexibility to adapt

Skills

* Required skills

Benefits

Certifications