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# Sr Data Engineer

- **Company:** Spectraforce
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Big Data, Information Engineering, Extract Transform Load (ETL), Programming Tools, Distributed Computing Environment, Distributed Systems, Electronic Data Interchange (EDI), Python (Programming Language), Machine Learning, Query Optimization, Cloud Services, Data Streaming, Unstructured Data, Data Processing, Freeform SQL, Application Enhancement Tool, Cloud Platform System, Database Performance, Event Driven Architecture, AWS Glue, Apache Kafka, Restful APIs, Stream Processing, Data Pipelines
- **Published:** November 3, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=590def5d-489c-42f6-a35b-8279640f78c2&OrgId=1&UserId=4739

## About the Role

The candidate should have experience building robust data pipelines, working with large-scale datasets, implementing real-time streaming solutions, and developing REST APIs., * Strong hands-on experience with Python and/or Scala.

 * Extensive experience with AWS cloud services.
 * Hands-on experience with AWS EMR and AWS Glue.
 * Experience with Apache Kafka and real-time streaming.
 * Strong SQL development and query optimization skills.
 * Experience designing and developing REST APIs.
 * Strong understanding of data engineering concepts, ETL/ELT pipelines, and distributed data processing.

Preferred Qualifications

 * Experience working with AI/ML technologies or AI-powered development tools.
 * Experience building scalable cloud-based data platforms.

## Description

* Design, develop, and maintain scalable and reliable data pipelines using Python and Scala.
 * Build and optimize data processing solutions leveraging AWS services, including EMR and AWS Glue.
 * Develop and maintain ETL/ELT workflows for large-scale data processing.
 * Implement real-time data streaming and event-driven architectures using Apache Kafka.
 * Develop, integrate, and maintain REST APIs for data exchange and application integration.
 * Write complex SQL queries and optimize database performance.
 * Work with distributed computing technologies to process and transform large volumes of structured and unstructured data.
 * Collaborate with cross-functional teams to deliver high-quality data engineering solutions.
 * Explore and leverage AI-powered tools and technologies to improve data engineering efficiency.