Senior Data Engineer

Hypergiant, an Accelint company, empowers forward-thinking organizations with AI-driven solutions to stay ahead. Our geographic presence spans the U.S. and allied partners, with facilities in key Defense Technology hubs from Southern California to Washington, D.C. We provide large enterprises – across industries like the Defense Department, energy, healthcare and aviation – with bespoke technology solutions, cutting-edge advice, and deployment expertise needed to harness the value out of Artificial Intelligence and Machine Learning. At our core, we are military experts, researchers and technologists who want to accelerate intelligence to deliver strategic insights that turn future challenges into today’s opportunities. 

We are looking for a Senior 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.

Duties and 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 and product owner through appropriate tools
• Ensure seamless integration/interoperability between database and messaging systems and the frontend / UI they support
• Ensure data quality, reliability, and performance through code reviews, effective testing strategies, optimization and performance tuning
• Write high-quality code (clean, maintainable, and well documented), applying best practices, coding standards, and design patterns
• Team with other developers, fostering a culture of technical excellence, continuous learning and improvement, knowledge sharing, and professional growth

Required Experience:

• 7+ years of professional software development or data engineering experience (4+ with a STEM B.S. or 2+ with a relevant Master’s degree)
• Strong proficiency in Python and 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 data fabric development using publish-subscribe models (e.g., Apache NiFi, Apache Pulsar, Apache Kafka and Kafka-based data service architecture)
• Proficiency with containerization and orchestration 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
• Strong knowledge of data modeling and database optimization techniques
• Familiarity with data serialization languages (e.g., JSON, GeoJSON, YAML, XML)
• Excellent 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 Experience:

• 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
• Experience managing and mentoring development teams in an Agile environment
• Experience managing robust build & test tools and implementing workflow automations / scripts
• Penchant for learning new technologies, balanced with strong pragmatic thinking
• Design-minded attention to detail in data service implementation
• Portfolio of past projects with code samples
• Ability to travel as needed
• Active Security Clearance