Senior Data Engineer - Azure & On-Prem SQL & D365 Dataverse

At Stewart, we know that success begins with great people. As a Stewart employee, you’ll be joining a company that was named a 2024-2025 Best Company to Work For by U.S. News & World Report, and a 2025 Top Workplace by USA Today. We are committed to helping you own, develop, and nurture your career. We invest in your career journey because we understand that as you grow, so does our company. And our priority is smart growth – by attaining the best people, investing in tools and resources that enable success, and creating a better home for all.

You will be part of an inclusive work environment that reflects the customers we serve. You’ll be empowered to use your unique experiences, passion and skills to help our company and the communities we serve constantly evolve and improve. Together, we can achieve our vision of becoming the premier title and real estate services company.

Stewart is a global real estate services company, providing title insurance, settlement, underwriting, and lender services through our family of companies. To learn more about Stewart, visit stewart.com/about. 

More information can be found on stewart.com. Get title industry information and insights at stewart.com/insights. Follow Stewart on Facebook @StewartTitleCo, on Instagram @StewartTitleCo and on LinkedIn @StewartTitle

Job Responsibilities

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL/ELT) data from multiple sources (on-prem and cloud) into analytical and operational systems.
• Provides data-based trends, recommendations and resolutions to the organization including through the optimization of monitoring and logging data pipelines
• Performs specialized assignments including the migration and integration of SQL Server data to Azure Data Lake, Azure SQL Database, MS D365 Dataverse, Synapse or Fabric.
• Interprets internal/external business environment
• Recommends best practices and implement data transformation and processing logic to optimize processes for performance and cost-efficiency using Azure-native tools.
• Using understanding of data modeling, normalization, and dimensional modeling concepts
• Impacts achievements of customer, operational, project or service objectives by utilizing skills in Python or PySpark for data transformation and automation.
• Communicates difficult concepts to team and departments to generate clarity and alignment on projects, initiatives, and various work products
• May lead functional projects with moderate risks and resource requirements
• Individual contributor working independently; may require guidance in highly complex situations
• Performs all other duties as assigned by management

Education

• Bachelor’s degree in relevant field preferred

Experience

• Typically requires 5+ years of related work experience
• Strong experience in data movement, transformation, and processing of large-volume datasets.
• Proficiency in ETL/ELT frameworks, data orchestration, and automation.
• Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL, and Azure Data Lake Storage (ADLS Gen2)
• Knowledge of version control (Git) and CI/CD principles for data solutions.
• Strong expertise in Microsoft SQL Server (on-prem) performance tuning, stored procedures, and large-scale data processing

Equal Employment Opportunity Employer

Stewart is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you have a disability and need assistance or an accommodation in the application process, please contact us by email at [email protected].

Benefits

Stewart offers eligible employees a competitive benefits package that includes, but is not limited to a variety of health and wellness insurance options and programs, paid time off, 401(k) with company match, employee stock purchase program, and employee discounts.