> Markdown version of [/jobs/ext/4299169-data-engineer](https://www.wearedevelopers.com/jobs/ext/4299169-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:** Resourcesoft, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Microsoft Azure, Big Data, Code Review, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Github, Python (Programming Language), Power BI, Azure Machine Learning, Scala (Programming Language), SQL Databases, Enterprise Data Management, Azure Data Factory, Informatica Powercenter, Integration Frameworks, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** October 8, 2026 - **Apply:** https://www.dice.com/job-detail/ba9a9e6d-75ec-465a-8232-0176c0f31d69 ## About the Role * 6+ years of experience in Data Engineering, Data Warehousing, Azure Databricks, and Data Integration * Proficiency in Azure Databricks, Azure Data Services, and large-scale data processing * Experience in Informatica PowerCenter, IICS, ETL development, and data integration frameworks * Experience with SQL, Python, Scala, and enterprise data pipeline development * Experience in Azure DevOps, GitHub, Power BI, Synapse Analytics, Azure ML, and analytics platforms * Strong communication skills with expertise in cross-functional collaboration and technical leadership Responsibilities * Design, develop, and support enterprise data engineering and analytics solutions * Proficiency in delivering scalable data pipelines, integration workflows, and data platform enhancements * Experience in collaborating with architects, analysts, and business teams on data solution design * Experience with code reviews, testing, deployments, documentation, and production support activities * Experience in guiding complex data implementations, troubleshooting issues, and improving platform performance * Communicate technical recommendations, project updates, and best practices to stakeholders