Responsibilities:
As a Senior Data Engineer, you will be responsible for carrying out engineering tasks to deliver advanced analytic applications. You will develop data analytics for desktop and web-developed analytic software, facilitate the bulk analysis of relational information, and establish applications that produce manageable, actionable intelligence from streams of structured and semi-structured data across multi-enclave environments.

Required Qualifications:

• High School/Diploma with 11 years of experience, OR Associate degree with 8 years of experience, OR bachelor’s degree with 5 years of experience OR Master’s degree with 5 years of experience.
• Minimum of 5 years of experience in data engineering or related field
• Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph.
• US Citizenship is required.
• Experience with SAFe Agile framework
• Strong understanding of forensic and investigative data requirements
• Demonstrated experience designing and implementing data solutions in secure government environments
• Advanced 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

Desired Qualifications:

• Active TS/SCI with CI Polygraph
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related fiel

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 methodologie

• 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:

• High School/Diploma with 11 years of experience, OR Associate degree with 8 years of experience, OR bachelor’s degree with 5 years of experience OR Master’s degree with 5 years of experience.
• Minimum of 5 years of experience in data engineering or related field
• Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph.
• US Citizenship is required.
• Experience with SAFe Agile framework
• Strong understanding of forensic and investigative data requirements
• Demonstrated experience designing and implementing data solutions in secure government environments
• Advanced 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)

Desired Qualifications:

• Active TS/SCI with CI Polygraph
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

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

Overview:
Noblis and our wholly owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation’s toughest problems and apply advanced solutions to our clients’ most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us