Lead Data Engineer (Hypergiant)

Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. They are looking for a Lead Data Engineer to develop a data service for command and control software, working alongside agile delivery teams on complex DoD projects.

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 between database and messaging systems and the frontend / UI they support
• Ensure data quality, reliability, and performance through code reviews and effective testing strategies
• 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

Requirements:

• 10+ years of professional software development or data engineering experience (6+ with a STEM B.S. or 4+ with a relevant Master's degree)
• Strong proficiency in Python and Typescript, familiarity with Java and Bash scripting
• Hands-on experience implementing database technologies, messaging systems, and stream computing software (e.g., PostgreSQL, PostGIS, 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 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
• Experience with Cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies (Ansible, Terraform, WebGL)
• Geospatial information system (GIS) experience (e.g., Geoserver)
• Data science and experience integrating AI/ML to web-based applications
• Experience managing and mentoring development teams in an Agile environment
• Experience managing robust build & test tools and implementing workflow automations / scripts
• Experience balancing hot and cold data path strategies to meet performance and cost goals
• 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