Data Engineer (Data Architecture & Engineering)

Required Qualifications, Education, and Experience:

• Active TS/SCI clearance
• Bachelor’s degree or equivalent practical experience.
• Expertise in distributed computing frameworks to handle large-scale data processing.
• Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.
• Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.
• Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.
• Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka.
• Familiar with Linux/Unix server environments.
• Experience with Agile development methodology.
• Publishing and/or presenting design reports.
• Coordinating with other team members to reach project milestones and deadlines.
• Working knowledge with Collaboration tools, such as, Jira and Confluence

Desired Qualifications, Education, and Experience:

• Master’s degree or equivalent experience in a related field.
• Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
• Familiarity and experience with the Department of Homeland Security (DHS).
• Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred).
• Experience with cloud message APIs and usage of push notifications.
• Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.
• Working knowledge with public keys and digital certificates.
• Experience with DevOps environments.
• Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
• Experience with cloud message APIs and usage of push notifications.
• Specialization in Object Oriented Programming languages, scripting, and databases