Senior Data Engineer

Build scalable data models and pipelines to extract, load, and transform data, ensuring secure storage with a focus on data quality and compliance on Azure using services such as ADF, HDInsight, Fabric, and Synapse. Design and develop datasets that enable an AI-ready data platform supporting AI/ML pipelines, feature engineering, and Copilot applications. Provide technical leadership across the team by mentoring engineers and leading solution implementation in alignment with approved business and data requirements. Implement and Lead CI/CD pipelines for data engineering projects, leveraging tools like Azure DevOps. Anticipate data governance needs, design modeling and handling procedures, and ensure compliance with laws and policies governing data accessibility. Lead the design and maintenance of enterprise ontologies and semantic models to support AI and knowledge graph initiatives.

Bachelor's degree in computer science, Engineering, or a related field OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field OR equivalent experience Have experience building cloud-based data pipelines and data stores. 7+ years of experience in data engineering or a similar role. Proficiency in programming languages such as Python, Scala or Java. Strong experience with SQL and database technologies and Familiarity with big data technologies (e.g., Hadoop, Spark). Familiarity with data governance frameworks and metadata standards. Experience with data visualization tools (e.g., Tableau, Power BI). Experience working with and integrating AI/Co-Pilot applications. Excellent communication and interpersonal skills. Demonstrated ability to lead through influence, including coaching, mentoring, and empowering junior team members