Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA, US$135,000-$205,000Posted 11 days ago

Job Description

Overview

Ardent Eagle Solutions (AES) is seeking an experienced Senior Data Engineer to support the Small Business Administration (SBA), Office of Inspector General (OIG), Technology Solutions Division. This position is responsible for designing, implementing, and maintaining modern Azure-based cloud data architecture supporting fraud analytics, machine learning, and investigative operations. The successful candidate will develop scalable ELT/ETL pipelines, optimize cloud data environments, and build sustainable architecture supporting advanced analytics initiatives. Background:

The Office of the Inspector General (OIG) is an independent and objective oversight office created by the Inspector General Act of 1978, as amended. The Small Business Administration (SBA) OIG provides auditing, investigative, and other oversight services to support and assist SBA in achieving its statutory mission to maintain and strengthen the Nation’s economy by protecting the interests of and assisting small businesses and helping families and businesses to recover from disasters. OIG utilizes large volumes of data to perform its auditing and investigative mission sourced from within SBA, other federal agencies, and the private sector. To facilitate the work of OIG audits and investigations, OIG has created the Technology Solutions Division (TSD). Responsibilities: * Design, develop, implement, and maintain secure, scalable Azure-based data architecture. * Develop and maintain cloud-native ELT/ETL pipelines utilizing Azure Synapse Analytics and Azure Machine Learning. * Design modern, code-first data engineering solutions utilizing Python SDKs, REST APIs, CLI tools, and Infrastructure-as-Code methodologies. * Build, optimize, and maintain cloud data lakes and warehouse environments. * Implement robust error handling, logging, validation, and monitoring across production data pipelines. * Manage source control and CI/CD practices supporting data engineering assets. * Optimize...

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