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# Data Engineer - Mid

- **Company:** Spear AI
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Systems Development Life Cycle, SQL Databases, Data Streaming, Unstructured Data, Data Processing, Apache Spark, Containerization, Integration Frameworks, Apache Kafka, Data Management, Machine Learning Operations, Data Delivery, Software Version Control, Data Pipelines
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-mid-dc--cdee7638-6c11-4524-9250-d984259cfe49

## About the Role

Artificial Intelligence (AI), Leadership, Leading Edge Technology, Aerospace and Defense, Data Management, Conversation Engine, Unstructured Data, Scalable System Development, Structured Data, Operational Audit, * 5+ years of experience in data engineering or related field

 * Active TS/SCI clearance with ability to obtain CI Polygraph
 * Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.)
 * Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies
 * Knowledge of data warehousing concepts and modern data stack tools
 * Understanding of version control systems and CI/CD practices
 * AWS experience highly preferred but not required
 * Military experience strongly preferred

## Description

* Develop and maintain ETL/ELT pipelines for processing large-scale datasets
 * Design data models and schemas optimized for AI/ML workloads
 * Implement data quality monitoring and validation frameworks
 * Collaborate with AI engineers to understand data requirements and optimize data delivery
 * Troubleshoot data pipeline issues and implement performance improvements
 * Maintain documentation for data flows, transformations, and pipeline architectures
 * Support data governance initiatives and ensure compliance with data handling policies