Senior Data Engineer

Raas Infotek LLC Logo
Raas Infotek LLC
Chantilly, VA, United States (Remote)
  • Entertainment
  • FlexTime
  • Applications have closed

Position: Senior Data Engineer

Location: Chantilly, VA (Starting 2-3 week hybrid, then converted to remote)

Duration: Long-term Contract

Job Responsibilities

  • Design and implement data pipelines and ETL processes to support the cyber investigative capabilities.
  • Develop and maintain data analytics solutions for desktop and web-based visual analytic applications.
  • Establish applications that produce manageable, actionable intelligence from streams of structured, semi-structured, and data.
  • Design strategies for enterprise database systems and set standards for operations, programming, and security.
  • Construct and optimize large relational databases across multi-enclave environments (Unclassified, Secret, and Top Secret).
  • Tune performance of large-scale data workflows, ensuring cost efficiency, low latency, and high availability.
  • Design and manage Elasticsearch/Apache Solr clusters for fast search, indexing, and retrieval of large-scale datasets.
  • Integrate new systems with existing warehouse structures and refine system performance and functionality.
  • Implement CI/CD pipelines for data systems, automate monitoring/alerting, and enforce infrastructure-as-code practices.
  • Provide technical leadership and mentorship to other team members.
  • Participate in Program Increments (PIs) and Agile Release Train (ART) activities.

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field with 8 years of experience in data engineering or related field. Associate degree with 11 years of experience in data engineering or related field; OR High School/Diploma with 14 years of experience in data engineering or related field.

  • Experience with SAFe Agile framework.

  • Strong understanding of forensic and investigative data requirements.

  • Demonstrated experience designing and implementing data solutions in secure government environments.

  • May require occasional travel for Program Increment planning sessions.

  • May require flexible scheduling to support critical operations.

  • Proficiency with:

  • Python for data processing, automation and ETL workflow orchestration.

  • SQL (MySQL, PostgreSQL, Microsoft SQL) and query optimization.

  • Elasticsearch and Apache Solr (design, scaling, query optimization, cluster management).

  • Data pipeline technologies (Apache Kafka, Apache Nifi, Cribl).

  • Log analytics and observability platforms, particularly Splunk.

  • Containerization and orchestration technologies (Docker, Kubernetes).

  • Cloud platforms (AWS GovCloud, SC2S, C2S).

  • Experience with:

  • Infrastructure as Code (Terraform).

  • GraphQL: schema design, API development, query optimization, and integrations.

  • DevSecOps practices and tools.

  • RabbitMQ and Redis.

  • Angular, React, or other modern frontend frameworks.

  • SAFe Agile methodologies.

Apply for job