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# Lead Data Engineer

- **Company:** Two Six Technologies
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $132,000.0 - $198,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, CompTIA Security+, Databases, Command-Query Responsibility Segregation (Software Development), Data Integrity, Data Security, Data Systems, Electronic Data Interchange (EDI), Elasticsearch, Python (Programming Language), PostgreSQL, Message Broker, Redis, Software Engineering, Data Streaming, Caching, Indexer, Backend, Git, Event Driven Architecture, Kubernetes, Information Technology, Bare Metal, Apache Kafka, Software Version Control, Devsecops, Docker, Golang, Microservices
- **Published:** July 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9066775/lead-data-engineer

## About the Role

* 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.
 * Eligibility to obtain and maintain a TS security clearance.

Nice to have:

 * Exposure to DevSecOps and Agile environments and processes
 * Proficient understanding of code versioning tools, such as Git
 * A self-driven work ethic and a willingness to jump in and solve hard problems
 * Adept at simplifying and communicating complex ideas
 * Experience with Kubernetes, AWS, Docker, a plus
 * DoD 8570 Level II or Level III Certification, for example, Comptia Security + or CISSP

## Description

* 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.


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