Data Engineer
A Fortune 50 financial services company is seeking a highly motivated Data Engineer for our client in the McLean, VA area.
Overview:
- Design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data. Manage, interpret, and derive insights from data.
- Implement data processing tasks, ensuring data quality and system reliability. Growing an understanding of business needs and objectives.
- Solve a range of mostly straightforward problems with some increased scope and complexity.
- Developing professional with basic skill set and proficiency with procedures and techniques.
- Shift (Time): 8:00am - 4:30pm (local time - flexible)
- Hybrid with the expectation to report onsite a minimum of 2 days per week
- Overtime is not approved for this contract position
- Contract Length: 6 months with the possibility of extension
Responsibilities:
- Develop and maintain data pipelines and workflows.
- Develop using SQL Server Integration Services.
- Format data from APIs into SQL servers.
- Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
- Design and build data pipelines for data collection, connection, and storage.
- Develop and enforce data engineering policies and best practices to ensure data integrity.
- Ensure data quality and performance at scale.
- Ensure high performance and scalability of data systems and processes.
- Help with the collection, connection, and storage of data.
- Optimize existing data workflows and ensure system reliability.
- Collaborate with team members and participate in team projects and initiatives.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 5+ years of overall IT experience and 3-5+ years of experience in data engineering.
- Advanced knowledge of SQL language.
- Advanced understanding of API frameworks and JSON transformations.
- Basic understanding of business and operating environment.
- Basic knowledge of programming languages (Python, R, SQL).
- Experience with data management, processing and analytic tools (Databricks).
- Experience with data integration and processing tools.
- Basic problem-solving skills.
- Basic communication and collaboration skills.
- Working experience with data warehousing solutions, ETL tools, and data system design.
- Basic knowledge of data engineering principles, technologies, and architecture.
