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Data Engineer
- Vienna, Virginia, United States
- Vienna, Virginia, United States
Über
Seeking a qualified candidate to design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data for various business areas within Lending. In this role, you will work closely with business partners and team members to implement data processing tasks, ensure data quality, and maintain system reliability while gaining a strong understanding of business needs and objectives.
This position is ideal for a developing professional with a foundational skill set who is ready to take on increasing scope and complexity while solving a range of mostly straightforward problems.
Responsibilities
Develop and maintain data pipelines and workflows to support business and data initiatives
Design and build scalable data pipelines for data collection, integration, and storage
Develop scripts, stored procedures, and jobs to automate data loads and processes
Implement data processing tasks and ensure data integrity and reliability
Optimize existing data workflows for performance and efficiency
Ensure data quality and performance at scale across data platforms
Maintain high availability, scalability, and reliability of data systems
Apply query optimization techniques including execution plan analysis, indexing, and partitioning
Collaborate with team members 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 activities, 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 improve processes and identify opportunities for automation and optimization
Qualifications
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
Strong 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
Hours
Monday - Friday, 8:00AM - 4:30PM
Locations
820 Follin Lane, Vienna, VA 22180
5550 Heritage Oaks Drive, Pensacola, FL 32526
Equal Employment Opportunity All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
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Sprachkenntnisse
- English
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