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Senior Data Engineer

Job in Fayetteville, Cumberland County, North Carolina, 28305, USA
Listing for: Kentro
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Overview

Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities.

By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones.

Kentro is hiring for a Senior Data Engineer to design, build, and operate data pipelines and data products supporting United States Army Special Operations Command (USASOC)
Enterprise Development, Application and Training (EDAT) missions. This is an engineering role, not an analyst or compliance role. You will write production code, integrate mission and enterprise data sources into a common data environment, and deliver reliable, well-governed datasets that analysts and decision-makers depend on. Experience with Microsoft SQL Server (MSS) is a significant advantage.

Location:
Onsite in Fayetteville, NC

This Job Description reflects the primary duties of the role; however, it is not intended to be all‑inclusive. Team members may be asked to take on additional responsibilities in alignment with customer expectations, business needs, and Kentro’s culture of collaboration and adaptability.

Responsibilities
  • Design, build, test, and maintain scalable batch and streaming data pipelines (ETL/ELT) in classified and air-gapped environments.
  • Develop transformation logic in Python, SQL, and PySpark to ingest, clean, normalize, and enrich structured and unstructured data.
  • Integrate data from mission systems, operational applications, databases, APIs, and file-based sources into enterprise data platforms.
  • Design data models, schemas, and entity relationships that support analytics, reporting, and downstream applications.
  • Build and publish curated datasets and data products with clear documentation, versioning, and service-level expectations.
  • Implement data quality checks, validation, monitoring, and alerting to ensure pipeline reliability and trusted outputs.
  • Establish and maintain data lineage, metadata, and cataloging in accordance with data governance policies.
  • Apply data security controls, including role-based and attribute-based access, data tagging and labeling, and need-to-know enforcement.
  • Automate deployment and operations using CI/CD, version control, and infrastructure-as-code practices.
  • Troubleshoot production issues, perform root cause analysis, and optimize pipeline performance and cost.
  • Support the deployment of analytics and ML/AI workflows into operational systems.
  • Collaborate with mission owners, analysts, data scientists, security staff, and system administrators to translate requirements into engineered solutions.
Qualifications
  • Education:

    Bachelor's degree in computer science, data science, information systems, or a related technical field, plus 7 years of relevant experience. 8140 compliances in certification/training may substitute for a degree.
  • Training:
    Meets DoD 8140 foundational and residential qualification requirements for the assigned work role (approved certification, education, or training) Trainings include:
    • SecurityX / CASP+
    • CCSP
    • Cloud+
    • CSC
    • GCLD
    • GCSA
    • GSEC
  • Experience:

    7+ years of professional data engineering experience
  • Technical

    Skills:
    • Strong Python and SQL development skills, demonstrated through production pipelines or applications.
    • Experience with distributed data processing (PySpark / Apache Spark).
    • Experience with relational and non-relational data stores and with data modeling and schema design.
    • Experience integrating multiple source systems into a centralized data platform.
    • Prof…
Position Requirements
10+ Years work experience
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