> Markdown version of [/jobs/ext/2365215-power-bi-data-engineer](https://www.wearedevelopers.com/jobs/ext/2365215-power-bi-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). --- # Power BI & Data Engineer - **Company:** The Modern - **Location:** Raleigh, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Extract Transform Load (ETL), Data Warehousing, JSON, Python (Programming Language), SQL Azure, Query Optimization, Power BI, Salesforce.Com, PL-SQL, Parquet, Data Processing, Sql Optimization, Snowflake, Data Lakes, Semi-structured Data, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/364fadd0-ec26-4c17-90ce-b31478fab7fd ## About the Role * 5+ years of hands-on Power BI dashboard development * 5+ years supporting Power BI datasets, dataflows, DirectQuery/Import models * 5+ years of advanced SQL, ETL/ELT, query tuning, and optimization * 5+ years of PL/SQL development * 3+ years building scalable data pipelines using Azure Synapse, Snowflake, or Databricks * 3+ years of Python or Scala for data processing * 3+ years working with JSON, CSV, Parquet, and other structured/semi-structured data * 2+ years of Azure experience including Synapse, Data Lake, Data Factory, and Azure SQL * Experience with ADLS, Delta Lake, data modeling, and data warehousing * Salesforce/API integration experience is highly valuable ## Related Videos - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [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) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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)