Data Engineer
Job Description
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
- Most Loved Workplace – America’s Top Most Loved Workplaces® 2025
- 2025 PEOPLE® Companies That Care
- Newsweek Most Trustworthy Companies in America 2026
- 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
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