> Markdown version of [/jobs/ext/4415857-senior-data-analyst-data-migration-modernization](https://www.wearedevelopers.com/jobs/ext/4415857-senior-data-analyst-data-migration-modernization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - Data Migration / Modernization - **Company:** Chelsoft Solutions Co. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $145,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Microsoft Azure, Data Validation, Data Conversion, Data Deduplication, Data Dictionary, Extract Transform Load (ETL), Data Mapping, Data Migration, Data Profiling, Data Synchronization, Relational Databases, Document-Oriented Databases, Python (Programming Language), Microsoft Dynamics, Microsoft SQL Server, Oracle (Applications), Windows PowerShell, Salesforce.Com, SQL Server Integration Services, System Testing, Talend, Azure Data Factory, Sql Optimization, Informatica Powercenter, Debezium, Qlikview, Integration Frameworks, Data Management, User Identification, Mulesoft - **Published:** October 2, 2026 - **Apply:** https://www.dice.com/job-detail/9f728d94-799f-4353-a6ae-0387a0e07d51 ## About the Role * 8+ years of experience in Data Analysis, Data Migration, Data Profiling, Data Quality, Mapping, Validation, or Reconciliation * 5+ years of Data Migration, Data Conversion, Integration, or Synchronization experience * 5+ years working with business, technical, vendor, and project teams * 3+ years of Government/Public Sector experience * Experience with CCWIS, SACWIS, CWIS, or comparable state HHS systems such as Medicaid, SNAP, TANF, DHS, or Integrated Eligibility * Advanced SQL skills * Oracle, SQL Server, or comparable relational database experience * Hands-on experience with ETL/integration tools such as Informatica, SSIS, Azure Data Factory, Talend, MuleSoft, or similar * Strong Source-to-Target Mapping experience * Transformation Rules and Data Dictionary development * Data Validation and Reconciliation * Legacy-to-Modern Data Migration/Conversion * Experience supporting data synchronization/data bridges between legacy and modern systems operating in parallel * Bachelor's degree or equivalent relevant experience, * Child Welfare systems/data migration * AFCARS, NCANDS, NYTD * Oracle GoldenGate, Qlik Replicate, Debezium, or similar CDC technologies * Salesforce or Microsoft Dynamics integration * Python / PowerShell * Azure / AWS * Master Data Management (MDM) * Identity Resolution / Deduplication Important Candidates must currently be local to Austin, TX and comfortable working onsite 4 days per week. ## Description We are seeking an experienced Senior Data Analyst to support data migration, modernization, integration, synchronization, and data-quality initiatives for complex public-sector systems. The ideal candidate will have extensive hands-on experience with legacy data analysis, data profiling, source-to-target mapping, transformation rules, ETL, data conversion, validation, reconciliation, and legacy-to-modern platform migrations. Candidates must have experience supporting government/public-sector environments and hands-on exposure to CCWIS, SACWIS, CWIS, Medicaid, SNAP, TANF, DHS, Integrated Eligibility, or comparable state Health & Human Services systems., * Profile legacy data and identify gaps, duplicates, invalid values, inconsistencies, and data-quality issues * Develop source-to-target mappings, transformation rules, data dictionaries, and code-value crosswalks * Build, execute, test, troubleshoot, and tune ETL/data conversion processes * Support mock conversions, system testing, UAT, production migration, and cutover * Support synchronization between legacy and modern systems using APIs, interfaces, CDC, or scheduled data exchanges * Perform data matching, merging, deduplication, and identity resolution * Develop reconciliation processes using record counts, control totals, field-level comparisons, and sampled testing * Investigate and resolve migration, integration, conversion, and data-quality issues * Document data lineage, mappings, validation procedures, technical processes, and runbooks * Collaborate with business, technical, vendor, program, and project teams