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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Conversion Specialist - Austin, TX (Hybrid/Remote) - **Company:** MY3TECH INC - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $89,440.0 - $104,000.0 - **Contract:** Contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Airflow, Automation of Tests, Software Bug Management, Databases, Data Conversion, Extract Transform Load (ETL), Data Mapping, Data Migration, Data Mining, Relational Databases, Software Debugging, Microsoft SQL Server, Systems Development Life Cycle, Query Optimization, Power BI, SQL Stored Procedures, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Transact-SQL, Data Processing, Azure Data Factory, Database Optimization, Backend, Microsoft Fabric, Pyspark, Data Pipelines - **Published:** August 27, 2026 - **Apply:** https://www.careerjet.com/jobad/usc6d50856912cc7f863dc0453f7319053 ## About the Role Years ## Description 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 including record count validation, key field comparison, exception reporting, authorization and exclusion logic, and validation within a large-scale pension or benefits modernization platform. 1+ Large-scale public pension administration system modernization data conversion experience. 1 Database Administrator experience. Preferred Skills and Experience: Years Skills / Experience 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)