Data Migration Specialist 2026P-0114
The Data Migration Specialist supports the transition of legacy fraud detection rules, filters, and analytical assets from legacy environments such as the Dependent Database (DDB) to modernized platforms such as the Enterprise Data Platform (EDP). This role ensures continuity of fraud detection capabilities while improving data integrity, traceability, and performance in the target environment.
The ideal candidate is detail-oriented, highly organized, and capable of executing structured migration activities with precision. They are expected to operate effectively in a fast-paced, evolving environment, proactively identify data inconsistencies, and ensure that migrated rules and datasets maintain functional equivalence and operational effectiveness.
This role supports the IRS mission to modernize fraud analytics infrastructure by translating legacy logic into scalable, maintainable, and production-ready components. The specialist works closely with data engineers, analysts, and program stakeholders to validate migration outcomes and minimize disruption to ongoing fraud detection operations.
Tools and Technologies May Include: SQL, Python, ETL tools, data validation frameworks, version control systems (Git), data profiling tools, and IRS-specific analytics environments.
Key Responsibilities / Day-to-Day Activities
- Analyze legacy rule logic, filters, and datasets within DDB and document transformation requirements
- Translate and map legacy business rules into EDP-compatible formats and structures
- Execute data extraction, transformation, and loading (ETL) processes to support migration activities
- Validate migrated data and rules to ensure accuracy, completeness, and functional equivalence
- Perform data profiling and reconciliation to identify discrepancies and resolve data quality issues
- Collaborate with data engineers and analysts to optimize migrated assets for performance and scalability
- Support testing activities, including unit testing, system integration testing, and user acceptance validation
- Document migration processes, data mappings, and validation results for auditability and knowledge transfer
- Monitor post-migration performance and support issue resolution and tuning efforts
- Ensure compliance with data governance, security, and IRS operational standards
How to Apply
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| Job Category | Data Analysis and Analytics |
| MINIMUM QUALIFICATIONS | Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field |
| REQUIRED SKILLS | 4 to 6 years of experience in data analysis, data migration, or systems analysis | Strong proficiency in SQL and experience working with relational databases | Experience with ETL processes and data transformation techniques |
| TECHNICAL SKILLS | Demonstrated ability to analyze and translate business rules into technical specifications | Experience performing data validation, reconciliation, and quality assurance | Familiarity with structured data environments and data lifecycle management | Strong attention to detail and ability to manage multiple priorities |
| DESIRED QUALIFICATIONS | Experience supporting federal data environments, preferably IRS or Treasury | Familiarity with fraud analytics systems, business rules engines, or case processing environments | Experience with big data platforms or cloud-based data environments (e.g., AWS, Azure)|Proficiency in Python or similar scripting languages for data processing | Experience with data governance frameworks and metadata management | Knowledge of Agile methodologies and collaborative development environments | Relevant certifications such as Certified Data Management Professional (CDMP) or similar |
| SUITABILITY REQUIREMENTS | Ability to obtain and maintain an IRS Minimum Background Investigation (MBI) Public Trust clearance |