Senior Data Engineer Jobs

Senior Data Engineer

Barbaricum

Location:
United States , Fort Bragg

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Data Engineer will build scalable pipelines and data models, implement ETL workflows, and help ensure enterprise data is reliable, accessible, and secure. You will work closely with data scientists, analysts, engineers, and stakeholders to translate mission and business needs into high-quality data solutions and actionable insights.

Job Responsibility:

Build and maintain scalable, reliable data pipelines to collect, process, and store data from multiple sources
Design and implement ETL processes to support analytics, reporting, and operational needs
Develop and maintain data models, schemas, and standards to support enterprise data usage
Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver solutions
Analyze large datasets to identify trends, patterns, and actionable insights
Present findings and recommendations through dashboards, reports, and visualizations
Optimize database and pipeline performance for scalability and reliability across large datasets
Monitor and troubleshoot pipeline issues to minimize downtime and improve system resilience
Implement data quality checks, validation routines, and integrity controls
Implement security measures to protect data and systems from unauthorized access
Ensure compliance with data governance policies, security standards, and applicable regulatory requirements (e.g., GDPR, HIPAA as applicable)
Establish best practices for data management, governance, and secure handling of sensitive information
Stay current on relevant tools and emerging technologies to strengthen engineering and analytical capabilities
Identify opportunities to improve workflows for data ingestion, processing, and analysis
Evaluate and recommend tools, platforms, and data management solutions aligned to organizational goals

Requirements:

Active DoD TS/SCI clearance (required or pending verification)
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience) OR CSSLP / CISSP-ISSAP
Strong programming skills in Python, Java, or Scala
Strong SQL skills
familiarity with analytics languages/tools such as R
Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow)
Familiarity with cloud-based data services (e.g., AWS Redshift, Google BigQuery, Azure Data Factory)
Experience with data modeling, database design, and data architecture concepts
Strong analytical and problem-solving skills with attention to detail
Strong written and verbal communication skills
ability to collaborate across technical and non-technical teams

Nice to have:

Master’s degree and/or certifications (e.g., AWS Certified Data Analytics, DAMA CDMP)
Experience with big data and streaming platforms (e.g., Kafka, Spark, Flink)
Experience with containerization (Docker, Kubernetes)
Familiarity with ML pipelines and data science workflows
Knowledge of enterprise architecture frameworks (e.g., TOGAF)

Additional Information:

Job Posted:
December 23, 2025

Work Type:

On-site work

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