Data Engineer

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team and support our customers in building a safer global future.

Overview of Opportunity:

Two Six Technologies is seeking an experienced and motivated Lead Data Engineer to work within a cross-functional development team focused on advancing a state of the art in mission tracking technology enhanced by artificial intelligence and machine learning.  The work will be located in our Arlington, Virginia office 

Responsibilities:

• Partner across teams to design and support the implementation of a seamless, decentralized, and secure data sharing framework that ensures consistent data exchange across different platform instances.
• Work closely with backend and database teams to align storage strategies across relational, indexing, and specialized time-series engines, balancing fast retrieval with long-term persistence.
• Maintain and align complex, multi-domain data models utilized across dozens of microservices, ensuring data integrity, strict contract management, and system-wide consistency.
• Collaborate with infrastructure and platform teams to adapt and scale data systems as computational needs evolve, ensuring seamless performance across both bare-metal and cloud environments.
• Collaborate on the design and implementation of resilient data patterns (such as CQRS and secure store-and-forward pipelines) to guarantee data security, integrity, and strict access controls in a distributed microservices environment.

Requirements:

• Bachelor’s degree in Computer Science or related field or comparable experience 
• Languages: 6+ years of professional software development experience, with deep expertise in Python and/or Go (Golang) within highly distributed environments.
• Databases: 4+ years of hands-on experience designing and optimizing relational schemas in PostgreSQL, alongside experience utilizing Elasticsearch for high-performance indexing and retrieval.
• Streaming & Caching: 3+ years of experience implementing and scaling event-driven architectures with distributed message brokers like Kafka, and leveraging Redis (or similar key-value stores) for high-speed caching.