Data Engineer Tampa, FL

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 Dev Sec Ops  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.

This Data Engineer role is supporting the U.S. Special Operations Command (SOCOM) based in Mac Dill Air Force Base, Florida. Data Engineers in this program support the command through a combination of data governance and data modernization efforts. They will be embedded within the SOCOM HQ to provide subject matter expertise and technical capability for integrating complex data used by the command, helping SOCOM to be more capable and effective when leveraging their data resources.

• 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 No
  
  SQL 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 No
  
  SQL databases, and other platform APIs, for data ingestion and integration.
• Configure and manage data analytic frameworks and pipelines using databases and tools such as No
  
  SQL, SQL, HDInsight, Mongo
  
  DB, Cassandra, Neo4j, Graph
  
  DB, Orient
  
  DB, Spark, Hadoop, Kafka, Hive, and Pig.
• Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault‑tolerance, and consensus algorithms.
• Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Services (AWS).
• Coordinate with stakeholders, including product, data, and design teams, to assist with data‑related technical issues and support their data infrastructure needs.

• Minimum of 1‑year experience is required.
• Bachelor’s degree in a STEM field with preference toward 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.
• A Certified Data Management Professional certification is preferred.
• Proficient in modeling frameworks like UML, Agile Development, and Git Operations.
• A Top Secret clearance with SCI eligibility is required.

• Familiarity with Power
  
  BI, Foundry, Databricks.
• Familiarity with DoD.

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.