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# Data Engineer

- **Company:** Zaden Technologies, Inc.
- **Location:** Tampa, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Storage, Information Engineering, Data Systems, Python (Programming Language), NoSQL, SQL Databases, Unstructured Data, Apache Spark, Data Lakes, Data Lineage, Apache Kafka, Apache Nifi, Databricks
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=525c2b969df1507e

## About the Role

* An active TOP SECRET clearance with SCI eligibility (TS/SCI) at time of application (firm requirement, U.S. citizenship required)
 * A Bachelor's degree in an applicable field and 4+ years of data engineering experience
 * Hands-on depth in AWS and/or Azure, Python, SQL and NoSQL, Spark, and Kafka
 * Availability to work on-site in the greater Tampa area
 * Start date in early October, * NiFi or Airflow experience in production
 * Databricks experience
 * Experience integrating enterprise DoD logistics and data systems
 * IL4/IL5 cloud environment experience
 * Strong documentation habits and clear technical writing

## Description

Cleared, and ready to build pipelines that matter? Zaden Technologies is hiring Data Engineers to support a defense logistics analytics program. This is an on-site role - you'd work in person with the mission team, designing the data backbone that feeds real operational decisions: streaming and batch pipelines that pull sprawling logistics data into one governed platform that leaders actually use., * Design and run high-throughput pipelines integrating structured and unstructured data from enterprise defense logistics systems into a centralized data lake

 * Build streaming ingestion with Kafka and batch orchestration with tools like NiFi or Airflow
 * Stand up cloud storage and compute with encryption at rest and in transit
 * Own data quality: lineage tracking, audit trails, and monitoring that keeps the platform at mission-grade availability
 * Work shoulder to shoulder with data scientists and the mission team, on-site
 * Write clear technical documentation to support the broader team


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