Description
We are seeking a skilled Data Engineer to support the Enterprise Situational Awareness/Common Operational Picture (SA/COP) Team. The ideal candidate will have a strong background in data integration, model development, and system architecture, along with experience in maintaining and optimizing data pipelines. This role requires a collaborative mindset and the ability to work in a matrixed organization, combining data engineering with DevOps practices to enhance enterprise data governance and embrace a culture to support critical data transformation, analysis, and visualization initiatives.
Our team provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide.
As a key SA/COP team member, you will work as part of a fast-paced, Agile development and implementation team to architect, design, and develop a data engineering detailed design solution that supports a unified data integrated platform. You will work alongside others in a dedicated scrum team in support for operational end-user and support team requirements.
Primary Responsibilities:
- Data Analysis & Problem Solving
- ETL Pipeline Development
- Data Modeling & Management
- Adherence to Governance & SecDevOps
- Cross-Team Collaboration
- System Architecture & Data Transformation
- Data Analytics & Visualization
- Agile Practices
- Elastic Cluster Management
- Platform Expansion
- Customer Visualization Support
Basic Qualifications:
- Education/Experience: 8+ years of experience and a B.S. in Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, Data Science, or Data Analytics. Additional experience may be accepted in lieu of a degree.
- Data Management & Collaboration
- Software Development Lifecycle
- Security Clearance: Ability to obtain interim Secret DoD Security clearance before the start date
Preferred Qualifications:
- Data Automation
- Text Mining & ELK Stack
- CI/CD & Containerization
- BI Tools & Search Analytics
- Big Data Technologies
- Elastic Engineer Certification
- Experience developing in Confluent ksql and kstreams for data ETL purposes
- Kubernetes Expertise
- Agile Processes