Azure Data Engineer

• BA/BS/MS in Computer Science, Engineering, or an equivalent combination of education and/or experience.\n
• Minimum of 3 years of experience in technical roles such as developer, systems analyst, or data engineer.\n
• This position requires US Citizenship and the ability to pass/obtain any required government background check or security clearance. An active security is preferred.\n
• Strong consultative skills and ability to operate effectively across functional teams.\n
• Excellent presentation and communication skills with a proven ability to translate complex technical concepts clearly.\n
• Solid project and team management experience within Agile environments.\n
• One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect, or Azure AI Engineer).\n
• Enterprise-scale experience in:\n, * Prior experience supporting federal data modernization or enterprise transformation programs.\n
• Familiarity with DevOps and CI/CD pipelines in Azure environments.\n
• Proficiency in Python, PySpark, SQL, or similar languages for data transformation and analysis.\n
• Experience integrating AI and analytics solutions with data platforms.\n

Plateau GRP is seeking an experienced Azure Data Engineer to support a major data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The selected candidate will play a key role in designing, implementing, and optimizing modern data platforms and analytics solutions in the Microsoft Azure environment.\n \n This position requires a strong blend of technical expertise, consultative ability, and collaboration skills to work across diverse teams supporting data governance, cloud architecture, and advanced analytics efforts.\n \n \nKey Responsibilities\n \n \n

• Design and build scalable Azure-based data pipelines, architectures, and data services to support FDIC's modernization objectives.\n
• Develop and maintain ETL/ELT workflows, data lake and warehouse structures, and data integration solutions.\n
• Implement best practices for data governance, data quality, and metadata management within the Azure environment.\n
• Collaborate with cross-functional teams to ensure secure, efficient, and compliant management of structured and unstructured data.\n
• Support big data, advanced analytics, and reporting/dashboarding solutions using Azure cloud technologies.\n
• Contribute to the design of cloud and hybrid infrastructure solutions, including serverless, containerized, and pay-per-use architectures.\n
• Apply machine learning (ML) and MLOps practices to operationalize and monitor data science models.\n
• Ensure enterprise-grade data security, access control, and cloud operations in alignment with FDIC standards.\n
• Collaborate in Agile teams, providing technical insight and clear communication to both technical and non-technical stakeholders.\n

\n Requirements:\n