Senior Data Engineer

Our client is seeking a highly skilled Senior Data Engineer to join their team and work remotely . This role will support mission-critical data initiatives, enabling advanced analytics, data integration, and scalable data infrastructure in a secure environment.

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
  
  
• Build and optimize data architectures to support analytics and reporting requirements
  
  
• Integrate data from multiple sources (structured and unstructured) into centralized platforms
  
  
• Ensure data quality, integrity, and governance across systems
  
  
• Collaborate with data scientists, analysts, and engineering teams to deliver data solutions
  
  
• Optimize database performance and implement indexing, partitioning, and query tuning strategies
  
  
• Work within secure DoD environments, ensuring compliance with all security protocols and standards
  
  
• Support cloud-based data platforms (AWS, Azure, or similar) and hybrid architectures
  
  
• Develop and maintain documentation for data pipelines, systems, and processes
  
  
• Troubleshoot and resolve data-related issues in production environments

Required Qualifications:

• Active Top Secret (TS) clearance or higher
  
  
• 8+ years of experience in data engineering, data architecture, or related field
  
  
• Strong experience with ETL/ELT tools and frameworks
  
  
• Proficiency in SQL and at least one programming language (Python, Java, or Scala)
  
  
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
  
  
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
  
  
• Experience building and maintaining data pipelines at scale
  
  
• Familiarity with data modeling techniques (star schema, dimensional modeling)
  
  
• Understanding of data governance, security, and compliance frameworks
  
  
• Ability to work independently in a remote, fast-paced environment

Preferred Qualifications:

• Experience supporting DoD or federal government contracts
  
  
• Familiarity with cleared environments and classified data handling
  
  
• Experience with big data technologies (Spark, Hadoop, Kafka)
  
  
• Knowledge of DevOps/DataOps practices (CI/CD pipelines, automation)
  
  
• Experience with containerization tools (Docker, Kubernetes)
  
  
• Exposure to real-time data processing and streaming architectures
  
  
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field