Data Engineer Azure Cloud & Enterprise Data Solutions

Job Title: Data Engineer – Azure Cloud & Enterprise Data Solutions Location: Remote - USA (EST) Why Join Us? • Full time job with enterprise-scale visibility • Work on high-impact cloud data initiatives • Hybrid model offering flexibility and in-person collaboration • Engage with agile teams and cross-functional stakeholders • Opportunities to influence architecture and governance processes About The Role We are hiring a Senior Azure Data Engineer to support analytics and modernization projects for a major Client. This role requires deep expertise in Azure data services, strong hands-on skills in ETL/ELT pipeline development, and a solid background in data governance. Key Responsibilities • Design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics • Develop scalable ETL/ELT workflows with Python, SQL, and Apache Spark • Implement robust data models aligned to enterprise architecture standards • Engineer analytics and data integration pipelines in cloud/hybrid environments • Support data governance efforts including metadata management, data lineage, and cataloging • Drive data quality and compliance across regulated domains (healthcare, finance, or federal environments) • Collaborate in Agile teams and contribute to CI/CD pipelines via Azure DevOps Required Skills & Experience • 10+ years of experience in data engineering, including 5+ years on Azure • Proven expertise in: • Azure Data Factory • Databricks • Azure Synapse • Apache Spark, SQL, and Python • Strong background in building cloud-native data solutions and modeling complex data sets • Experience in regulated or federal data environments • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred) • Excellent communication and stakeholder management skills Nice to Have • Familiarity with Azure DevOps and CI/CD automation • Experience authoring secure, scalable ETL workflows in compliance-focused environments • Ability to lead and normalize data structures for enterprise use • Strong knowledge of data cataloging, lineage tracking, and data governance best practices • Passion for documentation, standards, and continuous improvement Ready to build the future of data-driven solutions? Apply now and be part of something impactful!