> Markdown version of [/jobs/ext/538991-data-engineer](https://www.wearedevelopers.com/jobs/ext/538991-data-engineer). 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). --- # Data Engineer - **Company:** IBA InfoTech Inc. - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, C Sharp (Programming Language), Databases, Data Infrastructure, Extract Transform Load (ETL), Data Mapping, Data Profiling, Data Warehousing, Database Models, Software Debugging, Apache Hive, JSON, Python (Programming Language), Microsoft Visual Studio, Microsoft SQL Server, SQL Azure, Visual Basic .NET (Programming Language), Windows PowerShell, Power BI, Simple Object Access Protocol (SOAP), SQL Stored Procedures, SQL Databases, Transact-SQL, Web Services, Scripting, Microsoft Power Automate, Azure Data Factory, Powerquery, Data Lakes, Pyspark, Information Technology, Star Schema, Integration Frameworks, Restful APIs, Ssas Tabular, Databricks - **Published:** June 14, 2026 - **Apply:** https://ibainfotech.com/data-engineer-2 ## About the Role * Knowledge of Kimball Star Schema database model * Knowledge of Azure Data Factory, Azure Databricks (PySpark and Spark SQL), Azure SQL Data Warehouse, Azure Analysis Services, and Microsoft Azure Logic Apps * Knowledge of Data Lake Architecture * Familiarity with PowerBI data models, DAX Studio, and Tabular Editor * 3-5 years of experience with Visual Studio * Self-driven with the desire to achieve measurable, specific results within tight time frames * 5+ years experience with Microsoft T-SQL * Knowledge of .Net / Scripting Languages (C#,VB.NET, Python, Powershell) * Familiarity with JSON, Restful API, SOAP WS, EDI * Understanding of API/Web services * Good problem solving, design, coding, and debugging skills * Quick learner * Excellent communication skills and strong presentation skills * Analytical, Problem solving, creative thinking and design skills * Ability to maintain a thorough understanding of the business Required Education, Training and Experience: * Bachelor's Degree in Computer Science, Computer Information Systems, and Information Technology * Experience with data modeling, data analysis, data profiling, and data mapping ## Description * Develop extract, transform, and load processes using Azure Data Factory, Databricks (PySpark and Spark SQL), and SQL (Azure SQL Data Warehouse) * Developing data load and transformation processes using integration tools such as Azure Logic Apps, Chiapas EDI, and MirthConnect. * Responsible for designing, developing, testing and troubleshooting SSAS Tabular Models * Strong knowledge with Microsoft SQL Server database fundamentals (SQL queries, stored procedures, indexes, triggers, functions) * Strong Knowledge of DAX * Knowledge of Power Query * Reviews and explores source data as it relates to business concepts as well as how it relates to other data elements * Translate business requirements into technical designs to map and load data from source systems to Cardinal Innovations Data Platform * Ensure quality and accuracy of the data mapped from staging environments to the target reporting environments * Provide support to existing ETL jobs * Develop ETL audits and controls to ensure the quality of data meets or exceeds defined standards and thresholds * Ability to perform simple-to-moderately complex tasks with minimal assistance * Maintaining data repository with data definitions, relationships, linkages and sources ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [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 - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)