Security Data & Automation Engineer
Listed on 2026-10-23
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Software Development
Data Engineering, Python, SQL Developer
XCEL Engineering, Inc. is an award-winning small business that provides trusted information technology, engineering, consulting and project management solutions and services to federal agencies and organizations. Originally founded in 1971 by professional engineers at the University of Tennessee, XCEL was acquired in 2003 by U.S. Army and Navy veterans and in 2023 became a Martin Fed company.
XCEL Engineering is a part of IT Lab Partners (ITLP) which was created to support a leading research facility in the East Tennessee region in recruiting the best and the brightest technical talent. Consider joining our impressive team today!
JOB OVERVIEWXcel Engineering seeks a highly skilled Security Data & Automation Engineer with hands‑on experience in data acquisition, pipeline development, ETL processes, automation, API integration, and application development. The ideal candidate will have a strong technical background in Python, data engineering, and secure data management, with the ability to develop scalable data pipelines, integrate diverse data sources, support advanced AI capabilities, and ensure data is accurate, secure, and accessible for downstream analysis and operational use.
ESSENTIALFUNCTIONS
- Identify, connect to, and acquire data from diverse sources, including databases, APIs, file systems, and streaming platforms.
- Design, develop, automate, and maintain scalable data pipelines and ingestion workflows.
- Transform, clean, validate, parse, enrich, and convert raw data into reliable, usable formats.
- Integrate data from multiple sources to create cohesive, accurate, and accessible datasets.
- Design, implement, monitor, troubleshoot, and optimize ETL processes, automation workflows, and advanced API integrations.
- Develop and maintain custom applications, scripts, and automation tools using Python and Git‑based development workflows.
- Troubleshoot data ingestion, processing, workflow, and integration issues to ensure reliable performance and scalability.
- Support advanced AI integration, including hardware and software deployment, inference workflows, and performance optimization.
- Implement secure data storage and management practices to ensure data integrity, availability, and accessibility for downstream systems and users.
- Document data sources, ingestion processes, transformations, integrations, and workflows in accordance with established standards.
- Ensure data engineering and automation solutions comply with applicable security, governance, and regulatory requirements.
- Collaborate with technical teams and stakeholders to identify requirements, improve data workflows, and implement effective automation and integration solutions.
- Communicate technical concepts, project updates, and solutions clearly to technical and non‑technical stakeholders.
- U.S. Citizen with the ability to obtain and maintain a DoE security clearance.
- B.S. degree in Information Technology, Computer Science, Data Engineering, Software Engineering, or a similar technical field.
- Minimum 10 years of substantial progressive experience in data engineering, software development, automation, systems integration, or a related technical field.
- Strong proficiency in Python for application development, scripting, data processing, and automation.
- Demonstrated experience designing, developing, and maintaining data pipelines, ingestion workflows, and ETL processes.
- Experience acquiring, transforming, validating, and integrating data from multiple sources, including databases, APIs, and file systems.
- Experience developing and maintaining API integrations, automated workflows, and scalable data processing solutions.
- Proficiency with Git‑based development workflows, including version control and collaborative…
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