Data Engineer
Falls Church, Virginia, United States; Arlington, Virginia, United States
Applications have closed
Position: Data Engineer
Location: Falls Church, VA
Work Environment: Hybrid
Clearance Required: Secret
Status: Contingent upon Contract Award
Knowesis, a dynamic and forward-thinking company, is currently seeking an exceptional Data Engineer to join our team and provide invaluable support to the Chief Digital AI Office.
To be eligible for this position, candidates must have a secret clearance and 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:
- Code and manage changes to the existing FM Common Data Model and add procurement data sources
- Work with data scientist and functional resources to build silver and gold tables as required to support procurement data within Advana and the building of applications
- Support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into capabilities that satisfy mission partner requirements and support a data analytics and DevOps pipeline to drive rapid delivery of functionality to the client
- Maintain all operational aspects of data transfers while accounting for the security posture of the underlying infrastructure and the systems and applications that are supported and monitoring the health of the environment through a variety of health tracking capabilities
- Automate configuration management, leverage tools, and stay current on data extract, transfer, and load (ETL) technologies and services
- Work under general guidance, demonstrate an initiative to develop approaches to solutions independently, review architecture, and identify areas for automation, optimization, right-sizing, and cost reduction to support the overall health of the environment
- Apply comprehension of data engineering-specific technologies and services, leverage expertise in databases and a variety of approaches to structuring and retrieving of data, comprehend Cloud architectural constructs, and support the establishment and maintenance of Cloud environments programmatically using vendor consoles
- Engage with multiple functional groups to comprehend client challenges, prototype new ideas and new technologies, help to create solutions to drive the next wave of innovation, and design, implement, schedule, test, and deploy full features and components of solutions
- Identify and implement scalable and efficient coding solutions.
Required Qualifications:
- 10+ years dev experience; expertise in Python, Spark, and SQL
- Experience with Big Data systems, ETL processes
- Experience with Amazon Web Services (AWS)
- Applying DoD Security Technical Implementation Guides (STIGs) and automating that process
- Demonstrated ability to stand up and independently manage a portfolio of data pipelines
Required Education:
- Bachelor degree or higher
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Big Data Data Analytics Data pipelines DevOps Engineering ETL Pipelines Python Security Spark SQL
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