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A3 Consulting, LLC
Data Migration & ETL Engineer w/Top Secret Clearance
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$112,698 / year median in the U.S.
+11% projected growth
Job Description
A3 Consulting is seeking a Data Migration & ETL Engineer to support a critical Department of Defense (DoD) Insider Threat modernization effort. If you'd enjoy playing a key role in ensuring the seamless and accurate migration of historical data and enabling the success of a next-generation national security system, this role is for you! In this job you will : Support the design, development, and execution of ETL processes used to migrate large datasets from a PostgreSQL-based legacy system into the ServiceNow ITSM platform. Create detailed source-to-target data mapping documents, defining the transformation logic required to align legacy data with the new ServiceNow application's data model. Design, build, and maintain data loading solutions using ServiceNow Import Sets, Transform Maps, Data Sources, and scripting to support efficient and accurate data migration. Optimize migration performance for large-volume data loads while maintaining data integrity and minimizing migration risk. Perform in-depth analysis of the source data to identify potential quality issues, anomalies, and inconsistencies prior to migration. Implement rigorous data validation and reconciliation procedures to ensure data integrity and completeness between the source and target systems. Develop and execute scripts to cleanse and transform data, ensuring it conforms to the business rules and requirements of the new application. Perform data profiling to identify duplicates, orphaned records, inconsistencies, and other data quality issues before migration. Develop processes to extract data from various sources, including direct database queries and external system APIs (REST/SOAP) for ongoing data integration needs. Develop Python or JavaScript scripts to automate data extraction, transformation, validation, and quality checks. Collaborate with the Development Team to understand API endpoints and data structures for both legacy and future data integrations. Develop reusable automation utilities to support repeatable migration and validation activities across multiple environments.