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Senior Data Engineer

Job in Fayetteville, Cumberland County, North Carolina, 28305, USA
Listing for: Platinum Technologies
Full Time position
Listed on 2025-12-07
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 150000 USD Yearly USD 140000.00 150000.00 YEAR
Job Description & How to Apply Below

Who we are.

Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products – we want to hear from you.

We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self‑motivated domain experts. Our teammates are dot‑connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.

You.

Platinum Technologies is seeking a highly skilled and versatile Data Engineer to join our team and play a critical role in designing, building, and optimizing our data infrastructure. This position combines elements of data analysis, engineering, and architecture to ensure the availability, reliability, and accessibility of data for analytics and decision-making. The ideal candidate will have a strong technical background, problem‑solving skills, and a passion for working with data, while also collaborating with cross‑functional teams to deliver innovative data solutions.

This role is on‑site full time in Fayetteville, NC and requires an Active DoD Top Secret clearance with SCI Eligibility.

What you get to do. Data Infrastructure Design and Development:
  • Build and maintain scalable, reliable, and efficient data pipelines to collect, process, and store data from various sources.
  • Design and implement ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting.
  • Develop and maintain data models, schemas, and standards to support analytics and operational needs.
Data Analysis and Insights:
  • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Analyze large datasets to identify trends, patterns, and actionable insights.
  • Present findings and recommendations to stakeholders using dashboards, reports, and visualizations.
Performance Optimization and Monitoring:
  • Optimize database and data pipeline performance, ensuring scalability and reliability for large datasets.
  • Monitor and troubleshoot data pipeline issues, minimizing downtime and ensuring system reliability.
  • Implement data quality checks and validation processes to ensure data integrity.
Security and Compliance:
  • Implement security measures to safeguard data and systems against unauthorized access and breaches.
  • Ensure compliance with data governance policies, security standards, and regulatory requirements (e.g., GDPR, HIPAA).
  • Establish best practices for data management, security, and governance to protect sensitive information.
Emerging Technologies and Process Improvement:
  • Stay updated on industry trends and emerging technologies to enhance analytical and architectural capabilities.
  • Identify opportunities to improve data collection, processing, and analysis workflows.
  • Evaluate and recommend data management tools, technologies, and platforms to meet organizational goals.
Required Skills.
  • Active DoD Top Secret clearance with SCI Eligibility.
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience) OR CSSLP, CISSP-ISSAP.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Proficiency in data analysis tools and programming languages (e.g., SQL, R).
  • Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow).
  • Familiarity with cloud-based data solutions (e.g., AWS Redshift, Google Big Query, Azure Data Factory).
  • Proven experience in data modeling, database design, and data architecture frameworks.
  • Strong analytical and problem‑solving skills, with attention to detail.
  • Excellent communication and collaboration skills to work effectively in cross‑functional teams.
Preferred

Skills:
  • Master’s degree in a related field or professional…
Position Requirements
10+ Years work experience
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