Data Engineer

Seeking a Data Engineer to design, build, and optimize data pipelines and systems for Lending, ensuring data quality and reliability in collaboration with business partners and team members.

Responsibilities

• Develop and sustain data pipelines and workflows to support business and data initiatives
• Architect scalable pipelines for data collection, integration, and storage
• Create scripts, stored procedures, and automation jobs to streamline data loads and processing
• Implement data processing tasks while upholding data integrity and reliability
• Tune existing data workflows for performance and efficiency
• Maintain data quality and performance at scale across data platforms
• Ensure high availability, scalability, and reliability of data infrastructure
• Apply query optimization techniques including execution plan analysis, indexing, and partitioning
• Collaborate with teammates and business units on projects and data initiatives
• Contribute to the development and enforcement of data engineering standards, policies, and best practices
• Support data governance, metadata management, and data quality initiatives
• Assist with database administration tasks, including upgrades and migrations
• Support reporting and analytics use cases, including Power BI development
• Participate in Agile ceremonies and contribute to backlog refinement and delivery planning
• Continuously seek process improvements and identify opportunities for automation and optimization

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
• 5+ years of experience in data engineering or a related field
• Strong experience with SQL, XML/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark
• Extensive experience with data integration, data processing tools, and ETL frameworks
• Experience developing scripts, stored procedures, and automation jobs
• Experience with query optimization, execution plans, indexing, and partitioning
• Understanding of data warehousing concepts and data system design
• Working knowledge of data engineering principles, technologies, and architectures
• Working knowledge of Azure DevOps (ADO) backlogs and Agile delivery (SAFe, Scrum, Kanban)
• Working knowledge of SQL Server administration and database upgrades/migrations
• Basic knowledge of Power BI reporting and data visualization
• Strong problem-solving, communication, and collaboration skills

Technologies

• SQL
• XML
• JSON
• SSIS
• Azure Synapse
• Azure Data Factory
• Databricks
• PySpark
• Power BI
• Azure DevOps
• SQL Server

Hours

• Monday - Friday, 8:00AM - 4:30PM

Locations

• 820 Follin Lane, Vienna, VA 22180
• 5550 Heritage Oaks Drive, Pensacola, FL 32526

About Us

• FORTUNE 100 Best Companies to Work For® 2026
• Yello and WayUp Top 100 Internship Programs 2025
• Computerworld® Best Places to Work in IT 2026
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• Military Times 2025 Best for Vets Employers
• Forbes® 2026 America's Best Large Employers
• Forbes® 2025 America's Best Employers for New Grads
• Forbes® 2025 America's Best Employers for Tech Workers
• 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
• Military.com Top Military Spouse Employers 2025
• 2026 Handshake Early Talent Award
• Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026