Software Engineer II- Data

Preferred Qualifications

• Experience developing and maintaining data pipelines using Databricks, including Delta Lake, notebooks, workflows, and data transformation processes.
• Experience programming in Python for data engineering, automation, data quality validation, and data integration activities.
• Experience supporting modern cloud-based analytics and data engineering platforms, such as Azure Data Lake Storage, Azure Data Factory, Microsoft Fabric, or similar technologies.
• Knowledge of AI-ready data curation practices, including data profiling, cleansing, normalization, metadata management, data quality monitoring, and preparation of structured and unstructured data for machine learning and generative AI use cases.
• Experience supporting implementation of data governance, data cataloging, lineage, and data stewardship practices.
• Familiarity with designing and optimizing data sets for consumption by analytics, reporting, business intelligence, and AI/ML solutions.
• Experience working with large-scale structured, semi-structured, and unstructured data sources.
• Experience developing or supporting enterprise reporting solutions using legacy and modern reporting technologies, including platforms such as SSRS, Power BI, Tableau, or Crystal Reports.
• Experience with SQL Server, Oracle, or other enterprise relational database management systems.
• Familiarity with data warehousing, dimensional modeling, and master data management concepts.
• Experience working in regulated, security-conscious, or highly governed environments.
• Knowledge of Agile methodologies, DevOps practices, and version control tools such as Git or Azure DevOps.
• Pay Range: $94,714.00-149,575.00