Data Engineer

We are looking for a Data Engineer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically the development of a data service for command and control (C2) software. Hypergiant with its partners is building an innovative cloud-based command and control system that seamlessly integrates existing capabilities and provides automation that improves efficiency and effectiveness of mission planning and execution. A perfect candidate is able to write high-quality code, integrate with partner capability providers, and ensure code and product quality. This position will work alongside our development team and other capability providers on highly complex DoD projects.

Roles & Responsibilities

• Develop and continuously improve a data service that underpins cloud-based applications
• Support data and database modeling efforts
• Contribute to the development and maintenance of reusable component libraries and shared codebase
• Participate in the entire software development lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process
• Collaborate with developers, designers, testers, project managers, product owners, and project sponsors to integrate the data service to end user applications
• Communicate tasking estimation and progress regularly to a development lead through appropriate tools
• Integrate database and messaging systems with the frontend / UI they support
• Assist with data quality, reliability, and performance testing
• Write high-quality code, applying best practices, coding standards, and design patterns
• Team with other developers, fostering a culture of continuous learning and professional growth

Minimum Qualifications

• 5+ years of professional software development or data engineering experience (2+ with a STEM B.S. or a relevant Master's degree)
• Familiarity with Java and Bash scripting
• Hands-on experience implementing database technologies, messaging systems, and stream computing software (e.g., PostgreSQL, PostGIS, MongoDB, DuckDB, KsqlDB, RabbitMQ)
• Experience with publish-subscribe data operations (e.g., Apache NiFi, Apache Pulsar, Apache Kafka and Kafka-based data service architecture)
• Proficiency with containerization technologies (e.g., Docker, Docker-Compose, RKE2, Kubernetes, and Microk8s)
• Experience with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins), and collaborative development workflows
• Familiarity with data serialization languages (e.g., JSON, GeoJSON, YAML, XML)
• Demonstrated problem-solving and analytical skills
• Strong communication skills and ability to work in a collaborative environment
• Must be a US Citizen and eligible to obtain and maintain a US Security Clearance

Preferred Qualifications

• Cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies experience (Ansible, Terraform, WebGL)
• Geospatial information system (GIS) experience (e.g., Geoserver)
• Data science and AI/ML applications experience
• Knowledge of data modeling and database optimization techniques
• Portfolio of past projects with code samples
• Ability to travel as needed
• Active Security Clearance