Full-Time

Senior Data Engineer

USASOC-CDAO

Updated on 9/4/2026

Deadline 8/26/27
Kentro

Kentro

501-1,000 employees

IT engineering and federal program management

No salary listed

No H1B Sponsorship

Fayetteville, NC, USA

In Person

On-site in Fayetteville, North Carolina.

US Citizenship, US Top Secret Clearance Required

Bachelor's

Category
Data & Analytics (1)
Required Skills
Kubernetes
Microsoft Azure
Agile
Python
Git
Apache Spark
SQL
Machine Learning
Apache Kafka
RDBMS
ETL
Data Engineering
Docker
Microservices
AWS
REST APIs
Data Modeling
Data Governance
DevOps
Databricks
Snowflake

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Requirements
  • A bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, Mathematics, or a related technical discipline; equivalent experience may be considered.
  • Seven or more years of experience in data engineering, software engineering, data architecture, or a related technical discipline.
  • AIT II or higher certification.
  • Strong hands-on experience developing enterprise data pipelines and data integration solutions.
  • Advanced proficiency with Python and SQL.
  • Experience with distributed data processing technologies such as Apache Spark and PySpark.
  • Experience with relational and non-relational databases.
  • Experience developing ETL and ELT processes and data transformations.
  • Experience working with APIs and integrating data from multiple systems.
  • Experience with data modeling, data architecture, and database design.
  • Experience troubleshooting complex data and application issues.
  • Experience working in Agile software development environments.
  • Experience with Git and modern software-development practices.
  • Strong understanding of data quality, validation, governance, security, and lifecycle management.
  • Ability to independently analyze complex technical requirements and develop appropriate solutions.
  • Strong written and verbal communication skills.
  • An active Top Secret clearance.
  • U.S. citizenship or lawful permanent resident status.
Responsibilities
  • Design, develop, and maintain scalable enterprise data pipelines and data processing solutions.
  • Develop ETL and ELT processes to ingest, transform, validate, and deliver data from diverse sources.
  • Integrate structured and unstructured data from enterprise, operational, cloud, and mission systems.
  • Develop data models, schemas, transformations, and data architectures that support Chief Data and Analytics Office requirements.
  • Build and optimize data pipelines using Python, SQL, Spark, PySpark, or other appropriate technologies.
  • Develop solutions for batch and near-real-time data processing and integration.
  • Design and implement data ingestion and integration patterns for databases, APIs, applications, files, and other data sources.
  • Perform data profiling, cleansing, normalization, validation, and quality control.
  • Develop automated processes to monitor data pipelines and identify failures or data-quality issues.
  • Troubleshoot complex data engineering, integration, performance, and system issues.
  • Collaborate with data scientists, analysts, software engineers, architects, Palantir Foundry engineers, cybersecurity personnel, and government stakeholders.
  • Support integration and operationalization of analytical models and data products.
  • Develop and maintain data documentation, data-flow diagrams, technical specifications, and architecture documentation.
  • Implement appropriate data security, access controls, governance, and protection mechanisms.
  • Support data governance, metadata management, lineage, and data-quality initiatives.
  • Optimize data pipelines and processing environments for scalability, reliability, and performance.
  • Participate in Agile ceremonies, sprint planning, technical reviews, demonstrations, and requirements discussions.
  • Translate mission and business requirements into technical data-engineering solutions.
  • Support cloud-based data engineering capabilities and enterprise data platforms.
  • Participate in development, testing, deployment, and sustainment activities.
  • Apply DevSecOps and CI/CD practices to data engineering workflows where applicable.
  • Provide technical mentorship and guidance to junior and journeyman-level data engineers.
  • Support technical planning and provide recommendations to government and program leadership.
  • Identify technical risks, dependencies, and opportunities for improvement.
  • Perform other engineering and technical duties as assigned.
Desired Qualifications
  • Experience supporting USSOCOM, USASOC, the Department of Defense, or other federal government organizations.
  • Experience working with Palantir Foundry or other enterprise data platforms.
  • Experience with Palantir Ontology, Foundry data pipelines, Workshop, Contour, or Code Workbooks.
  • Experience with AWS, Microsoft Azure, or other cloud environments.
  • Experience with Databricks, Snowflake, Microsoft Fabric, Azure Data Factory, or similar data platforms.
  • Experience with Kafka or other event-streaming technologies.
  • Experience developing RESTful APIs and microservices.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Experience with CI/CD pipelines and DevSecOps practices.
  • Experience implementing data governance, metadata management, data lineage, and enterprise data catalogs.
  • Experience supporting artificial intelligence and machine learning data pipelines and model operationalization.
  • Experience working with classified or highly sensitive mission data.
  • Knowledge of Department of Defense cybersecurity and Risk Management Framework requirements.
  • Experience mentoring technical personnel and providing engineering-level technical leadership.
  • Industry certifications in cloud, data engineering, cybersecurity, or related technical disciplines.

Kentro delivers information technology engineering and business consulting services focused on Federal government agencies. It works by applying strategy, systems engineering, program management, and IT delivery skills to both large federal projects and smaller software solutions, ensuring disciplined planning and execution. The company differentiates itself by combining high-level strategic thinking with hands-on technical delivery, serving federal clients with a consistent, precision-driven approach across complex initiatives. Its goal is to help federal agencies achieve mission objectives through reliable, well-planned IT and engineering solutions.

Company Size

501-1,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Vienna, Virginia

Founded

2003

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 NASA SEWP VI expands task-order access across a $60 billion vehicle.
  • April 2026 leadership split into growth and delivery improves execution discipline.
  • July 2026 AI modernization messaging and June 2026 contract wins strengthen hiring appeal.

What critics are saying

  • VA and SSA drive roughly 75% of obligated revenue, creating severe concentration risk.
  • $361.1 million returns to market within 24 months; recompetes hit 2027-2028.
  • If VA and SSA recompetes slip, Kentro's federal revenue base collapses quickly.

What makes Kentro unique

  • March 2025 rebrand from IT Concepts to Kentro sharpened its federal digital-services positioning.
  • Kentro holds prime vehicles across VA, SSA, GSA, NRC, and NASA SEWP VI.
  • Its July 2026 Digital Services Factory repackages modernization into repeatable, AI-accelerated delivery.

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Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Hybrid Work Options

Remote Work Options

Professional Development Budget

Wellness Program