Position: Data Engineer Location: Washington D.C. Metropolitan Area Work Environment: Remote Clearance Required: Secret
Knowesis is seeking a skilled Data Engineer to join our team, supporting the Department of Defense (DoD) Office of Inspector General (OIG). The candidate will be responsible for designing, building, and maintaining the infrastructure that supports data storage, processing, and retrieval in the Microsoft Azure Enterprise. They will work with data sets and develop data pipelines that move data from source systems to data warehouses, data lakes, and other data storage and processing systems. The candidate will also develop and maintain data APIs, ETL processes, and data integration systems.
This position requires a Secret Clearance and applicants must possess U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position’s security clearance requirements.
The Job Duties and Responsibilities include but are not limited to the following:
Data Architecture and Modeling: Design and implement robust and scalable data infrastructure solutions within the Microsoft Azure Enterprise.
Data Pipeline Development: Create and maintain data pipelines to efficiently move data from source systems to data storage and processing systems.
Data Storage Management: Manage and optimize data storage solutions, including data warehouses and data lakes.
ETL (Extract, Transform, Load) Processes: Develop and maintain ETL processes to cleanse, transform, and load data into appropriate storage systems.
Data Integration: Design, develop, and maintain data integration systems to ensure seamless data flow between different components.
Data API Development: Build and maintain data APIs to facilitate data access for various applications and users.
Performance Optimization: Continuously monitor and optimize data processes and infrastructure for maximum performance and efficiency.
Data Security: Implement and maintain data security measures to protect sensitive information.
Collaboration: Collaborate with cross-functional teams, including data scientists and analysts, to understand data requirements and deliver effective solutions.
Documentation: Create and maintain clear and comprehensive documentation for data engineering processes and solutions.
Required Qualifications:
Minimum 5 years’ experience in data engineering, including data pipeline development and infrastructure design.
Proficiency in Microsoft Azure Enterprise or similar big data technologies.
Strong programming skills in languages such as Python, Java, or Scala.
Knowledge of database systems and SQL.
Familiarity with data warehousing concepts and tools.
Experience with ETL tools and processes.
Understanding of data security and compliance standards.
Excellent problem-solving and communication skills.
Ability to work independently and collaboratively in a remote team environment.
Preferred Qualifications:
Certification in relevant data engineering technologies.
Experience working with the Department of Defense (DoD) or government agencies.
Knowledge of cloud-based data solutions (e.g., AWS, Azure, GCP Cloudera).
Required Certifications:
Security+
Required Education:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Knowesis is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
