Data Conversion Specialist

Location Austin, Texas (Hybrid or fully remote) Employment Type Contract Minimum Qualifications 4+ years of data conversion development for large-scale pension administration system modernization programs; source-to-target mapping, ETL execution, exception handling, and validation across multi-billion-record legacy data sets 4+ years of SSIS package development and BIML scripting for automated, repeatable data extraction, transformation, and load processes across legacy pension and structured relational data environments 4+ years of SQL Server and T-SQL development including complex stored procedures, views, indexing strategies, query optimization, and execution plan analysis to support high-volume ETL and reconciliation workflows 3+ years of C# and .NET development for data conversion automation scripts, SSIS custom components, and backend data processing logic within a structured SDLC environment 3+ years of legacy system data migration experience including source environments; multi-environment extract and load processes; participation in mock runs, UAT cycles, and production cutover activities 2+ years of data reconciliation processes including record count validation, key field comparison, exception reporting, authorization and exclusion logic, and validation within a large-scale pension or benefits modernization platform Preferred Qualifications 3+ years of Azure Data Factory, PySpark, or Apache Airflow pipeline development for ELT/ETL orchestration, incremental loading strategies, and data quality validation in cloud or hybrid data environments 2+ years of Power BI or SSRS dashboard and report development including ETL job completion tracking, exception rate reporting, and data quality KPI visualization for program leadership and QA teams 2+ years of cloud data warehouse development using dbt Core for staging, intermediate, and reporting layer transformations with incremental load strategies (SnowPro Core or Microsoft Fabric certification a plus) 2+ years of defect triage and root cause analysis using SQL scripts and SSIS debugging techniques; cross-functional collaboration with QA, functional testers, and business analysts during mock loads and UAT resolution cycles #J-18808-Ljbffr