Bachelor’s degree in Data Engineering, Computer Science, or related field
Minimum 8 years of experience in enterprise data architecture, including at least 5 years designing and deploying cloud-based data platforms (Azure preferred)
Proficiency with Azure Data Factory, Data Lake Gen2, Synapse, and GitHub
Requirements:
Implementing and maintaining scalable data pipelines
Building ingestion and transformation flows in Azure Data Factory
Managing storage structures in Data Lake
Configuring Synapse with monitoring and alerting, and collaborating with data architects and SMEs to support data quality and operational reporting
Job description
Senior Data Engineer- US Citizens only
We are seeking a Senior Data Engineer to join our team of qualified, diverse individuals supporting a Federal Government customer. Candidates must be able to obtain a Moderate Background Investigation (MBI) clearance - US Citizen and must not have traveled outside the US for a combined total of 6 months or more in the last 5 years. Must have resided in the US for the last 5 years
This resource will serve as the authoritative resource for the agency who specializes in preparing big data infrastructure for analytical or operational uses. You will be responsible for designing and creating systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret and enables the agency to make smarter decisions and optimize operations.
Primary responsibilities:
• Implementing and maintaining scalable data pipelines
• Build ingestion and transformation flows in Azure Data Factory
• Manages storage structures in Data Lake
• Configure Synapse and implement monitoring and alerting.
• Collaborate with data architects and business Subject Matter Experts (SMEs) to support operational reporting and data quality.
Minimum Qualifications
• Must be a US Citizen.
• Must have a Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• Minimum 8 years of experience in enterprise data architecture, including at least 5 years in designing and deploying cloud-based data platforms (preferably Azure).
• Proficiency in Azure Data Factory, Data Lake Gen2, Synapse, and GitHub
• Experience implementing monitoring, logging, and alerting pipelines
• Strong skills in Python, SQL, and data transformation logic
• Familiarity with metadata tagging, sensitivity labeling, and QA frameworks
