Data Engineer

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world. Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact. We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security. Position Overview Clarity needs a Data Engineer to support a strategic data platform designed to streamline the procurement, onboarding, consumption, and offboarding of CAI / PAI datasets as a reliable enabler of OCO missions. Built on OSS, COTS, and GOTS components and deployed on Kubernetes, this program will support batch, streaming, and QiP cross-domain data workflows and gearing up to become the enterprise data hub for Cyber Command. In this role, you will contribute directly to the success of the data platform by applying your expertise to a mission-critical problem space. You will work alongside product, engineering, data, platform, and security teams to deliver scalable, secure capabilities aligned with mission priorities. Key Responsibilities Build ETL pipelines to support bulk and streaming data from source to Data Lake Optimize throughput, latency, and reliability of data transfers Support low-to-high and high-to-low data transport mechanisms Integrate transport pipelines with ingestion and CDS workflows Implement monitoring, logging, and alerting for transport services Troubleshoot transport failures and performance bottlenecks Collaborate with platform and security teams to ensure compliance Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or related technical field 5+ years of experience building data transport or messaging systems Experience with distributed systems and networked services Familiarity with secure data transfer patterns and protocols Experience building ETL/ELT pipelines Experience validating data integrity and pipeline integrity Experience operating systems in regulated or secure environments TS/SCI clearance preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire U.S. citizenship required Nice to Have Skills Experience with messaging or streaming platforms (e.g., Kafka, RabbitMQ, etc.) Familiarity with CDS-enabled transport workflows Experience deploying transport services on Kubernetes Exposure to data integrity and auditing requirements Experience supporting DoD or federal systems Work Environment Government program environment Herndon, VA or Columbia, MD Hybrid schedule with on-site support expected (3-5 days) Position contingent upon contract award We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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