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Data Conversion Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Conversion Specialist on a contract basis in Austin, Texas, offering a competitive pay rate. Requires 4+ years in data conversion, SSIS development, SQL Server, and C#. Preferred skills include Azure Data Factory and Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#Spark (Apache Spark) #SQL (Structured Query Language) #Data Quality #"ETL (Extract #Transform #Load)" #Azure Data Factory #Data Conversion #Data Extraction #ADF (Azure Data Factory) #Debugging #Data Warehouse #Cloud #Visualization #Azure #Business Analysis #Scripting #dbt (data build tool) #C# #Automation #Microsoft Power BI #Data Migration #SSIS (SQL Server Integration Services) #BI (Business Intelligence) #SQL Server #Migration #Indexing #SSRS (SQL Server Reporting Services) #Airflow #Apache Airflow #.Net #UAT (User Acceptance Testing) #Data Processing #PySpark #Data Reconciliation #Leadership
Role description
Data Conversion Specialist
Austin, Texas (Hybrid or fully remote)
Contract
Minimum:
4+ 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+ SSIS package development and BIML scripting for automated, repeatable data extraction, transformation, and load processes across legacy pension and structured relational data environments
4+ 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+ C# and .NET development for data conversion automation scripts, SSIS custom components, and backend data processing logic within a structured SDLC environment
3+ 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+ 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:
3+ 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+ 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+ 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+ 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
Data Conversion Specialist
Austin, Texas (Hybrid or fully remote)
Contract
Minimum:
4+ 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+ SSIS package development and BIML scripting for automated, repeatable data extraction, transformation, and load processes across legacy pension and structured relational data environments
4+ 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+ C# and .NET development for data conversion automation scripts, SSIS custom components, and backend data processing logic within a structured SDLC environment
3+ 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+ 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:
3+ 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+ 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+ 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+ 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
