
1 - 10 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
imagineeer is a Virginia-based strategic technology consultancy that helps organizations modernize and transform operations by operationalizing data, people, and innovation. They specialize in post-quantum and endpoint security, root-of-trust and digital wallet architectures, autonomy and digital twins, and applying artificial intelligence to improve visibility, resilience, and decision-making across supply chains and public health. imagineeer focuses on application migration, infrastructure modernization, and building tailored security postures to mitigate advanced cyber threats while partnering with clients to streamline operations and unlock organizational ingenuity.
🕒 March 12
🇺🇸 United States – Remote
💵 $135k - $145k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
👻 Ghost score 44%
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1 - 10 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
imagineeer is a Virginia-based strategic technology consultancy that helps organizations modernize and transform operations by operationalizing data, people, and innovation. They specialize in post-quantum and endpoint security, root-of-trust and digital wallet architectures, autonomy and digital twins, and applying artificial intelligence to improve visibility, resilience, and decision-making across supply chains and public health. imagineeer focuses on application migration, infrastructure modernization, and building tailored security postures to mitigate advanced cyber threats while partnering with clients to streamline operations and unlock organizational ingenuity.
• Assess and inventory existing legacy data in application data stores, shared folders and shared drives. • Assess the quality, completeness, and relevance of data to be migrated. • Identify and document data dependencies, redundancies, and inconsistencies. • Collaborate with stakeholders to understand data structures, relationships, and required formats for successful migration. • Develop a comprehensive data migration plan that outlines steps, timelines, and resource requirements for the migration process. • Identify potential challenges and propose solutions to mitigate risks associated with data migration. • Interpret legacy APIs and other system integrations, and define mapping between systems. • Plan for thorough testing of the migrated data to ensure accuracy, completeness, and successful integration. • Recommend validation reports and the process to document any discrepancies and work closely with stakeholders to resolve issues. • Collaborate with software engineers, database administrators, and development teams to ensure compatibility and alignment with the overall architecture. • Maintain effective communication with project stakeholders to provide updates on migration planning progress and gather feedback. • Create and maintain technical documentation related to planned data migration processes, procedures, and system configurations. • Specify reports on migration progress, data quality metrics, and issue resolution.
• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. • Previous experience as a Database Engineer and proven experience in data migration, particularly with legacy systems and cloud environments. • Proficiency in data migration tools and ETL processes (e.g., Talend, Informatica, SSIS, or similar). • Strong knowledge of database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL). • Experience with scripting languages (e.g., Python, Perl, SQL, PowerShell) for data transformation and automation. • Familiarity with indexing and data accessibility in software applications. • Experience with federal HRIT systems is a huge plus, particularly USA Staffing, USA Performance, DFAS, ITAS, HHS LMS, EHCM, ServiceNow for HR case management. • Experience with federal agency data governance best practices, data quality standards, and compliance measures. • Strong analytical and problem-solving skills, with attention to detail. • Experience with large federal agency data migration planning and execution.
• 401(k) matching • Competitive salary • Health insurance • Paid time off
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