Senior Data Engineer

Clarity Innovations • Tampa, FL

3d • $77,000 - $180,000 • Onsite

About The Position

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.

Requirements

• Minimum of 1-year experience is required.
• Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
• Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
• Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
• A Top Secret clearance with SCI eligibility is required.

Nice To Haves

• Familiarity with Palantir Foundry
• Familiarity with DoW

Responsibilities

• Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources.
• Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
• Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
• Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
• Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
• Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
• Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior