Senior Data Engineer - TS/SCI

Posted Yesterday
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Bethesda, MD, USA
Hybrid
Senior level
Information Technology • Software • Cybersecurity • Automation
The Role
Design, build, and optimize large-scale Elasticsearch and graph data platforms and ETL/ELT pipelines to support AI/ML and analytics. Deploy and operate stateful data services on Kubernetes, collaborate with data scientists and engineers, ensure data quality, security, and high availability, and participate in SAFe Agile development and system integration testing for IC mission needs.
Summary Generated by Built In

Location: Bethesda, MD

Category: Software Engineer
Travel Required: No
Remote Type: Hybrid
Clearance: TS/SCI

Sunayu,LLC is seeking a mission-driven Senior Data Engineer to join our high-impact team supporting the National Digital Exploitation and Open Source Center (NDOC) DOMEX Technology Platform (DTP). In this role, you will help improve data intelligence pipelines serving both Open Source Intelligence (OSINT) operations and document media exploitation for the Department of War (DoW) and the broader Intelligence Community (IC). You’ll play a critical role in developing a future state AI-managed  DOMEX Data Discovery Platform (D3P) and DIA-NDOC’s mission.

As a key technical leader, you will collaborate with talented engineers, product owners, and government stakeholders to design, develop, and deploy innovative software solutions that make a real difference to national security. You’ll have the opportunity to shape the architecture, drive technical direction, and mentor others, all while working in a collaborative, agile, and growth-oriented environment.

You will work closely with the team on the following key tasks

As a Data Engineer, you will design, develop, and optimize scalable data management solutions supporting advanced analytics and AI/ML workloads. Working closely with data scientists, software engineers, and infrastructure teams, you will build and maintain Elasticsearch and graph-based data platforms that enable efficient storage, discovery, and analysis of complex hierarchical data.

  • Design and optimize Elasticsearch indices to efficiently manage large-scale hierarchical classification structures, ensuring high-performance search, aggregation, and update operations.
  • Design, implement, and maintain a graph data store supporting hierarchical graph structures optimized for large, dense batch updates and high-throughput analytics.
  • Develop scalable ingestion pipelines that support scalable graph analytics.
  • Design data schemas, indexing strategies, and partitioning approaches to maximize query performance, scalability, and storage efficiency.
  • Collaborate with infrastructure and platform engineering teams to deploy, operate, and optimize Elasticsearch and graph database services in a Kubernetes environment using cloud-native technologies.
  • Partner with Data Scientists and AI/ML engineers to ingest, curate, manage, analyze, and securely expunge datasets throughout the data lifecycle.
  • Develop automated data loading, transformation, validation, and quality assurance pipelines supporting production analytics workflows.
  • Optimize graph and search infrastructure for high availability, resilience, and performance under large-scale analytical workloads.
  • Collaborate with software engineers and system architects to integrate graph and search services into microservice-based applications.
  • Participate in SAFe Agile development activities, including sprint planning, design reviews, architecture discussions, and technical demonstrations.
  • Foster a culture of innovation, collaboration, and professional development within the team.
  • Ensure sound engineering practices, compliance with policies, and delivery of high-quality software.
  • Coordinate with test teams to develop and monitor automated system integration tests.
  • Engage with cross-functional teams to identify and develop high-value integrations with other systems/applications.
  • Provide specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components.

To be successful in this role you need these skills (required):

  • Bachelor’s degree in Computer Science, Data Engineering, or related field and 12–15 years of relevant experience, or Master’s with 10–13 years of experience.
  • Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph.
  • Elasticsearch/OpenSearch architecture, index design, mappings, analyzers, and query optimization.
  • Graph databases such as JanusGraph, Neo4j, TigerGraph, Amazon Neptune, or Memgraph.
  • Data modeling for hierarchical and highly connected datasets.
  • Large-scale ETL/ELT pipeline development.
  • Kubernetes deployment and operations for stateful data services.
  • Distributed storage systems and high-volume data ingestion.
  • Python or Java for data engineering and automation.

You will wow us even more if you have some of these skills:

  • Experience supporting AI/ML and data science workflows. Apache Kafka or similar streaming technologies.
  • Experience with Linux, containerization, CI/CD pipelines, and Infrastructure-as-Code.
  • Graph analytics frameworks and algorithms, including graph traversal, centrality, community detection, similarity analysis, and link prediction.
  • Experience with Keycloak, and security best practices (authN/Z, secrets management).
  • Experience building and maintaining microservices in Kubernetes.
  • Familiar with infrastructure-as-code (CloudFormation, Terraform, Pulumi).

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Who We Are 

Sunayu, LLC serves as a premier technology partner to the Defense and Intelligence communities, delivering mission-critical engineering solutions across the nation. Our operations are anchored in a commitment to trust, accountability, and ethical transparency, ensuring the high-performance outcomes necessary to protect our country's most vital interests. 

Culture

Our strength lies in our community: Our team prioritizes collaboration, professional growth, and encourages open communication. At Sunayu, we don't just secure the mission—we grow together.

Career Development

We support and encourage our team members to continue their professional growth by providing company-reimbursed training and continuing education of up to $5,000 per year. We also participate in many industry conferences and events where we share our expertise and experiences.

Pay Rate

Salary range considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills, as well as market and business considerations when extending an offer.


Benefits

  • 3 Medical Plan Options
  • Dental and Vision 
  • FSA, DCFSA, HSA
  • Life/AD&D Insurance
  • Short-Term & Long-Term Disability 
  • Employee Assistance Program (EAP)
  • Training and Educational Assistance
  • Paid Time Off (PTO)
  • 11 Federal holidays 
  • 401k plan with up to a 6% match (100% immediate vesting) 

Equal Opportunity Employer

Sunayu, LLC is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability status, marital status, genetic information, medical condition, or any other characteristic protected by law.

Skills Required

  • Bachelor's degree in Computer Science, Data Engineering, or related field and 12-15 years of relevant experience, or Master's with 10-13 years of experience.
  • Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph.
  • Elasticsearch/OpenSearch architecture, index design, mappings, analyzers, and query optimization.
  • Graph databases such as JanusGraph, Neo4j, TigerGraph, Amazon Neptune, or Memgraph.
  • Data modeling for hierarchical and highly connected datasets.
  • Large-scale ETL/ELT pipeline development.
  • Kubernetes deployment and operations for stateful data services.
  • Distributed storage systems and high-volume data ingestion.
  • Python or Java for data engineering and automation.
  • Experience supporting AI/ML and data science workflows; streaming technologies such as Apache Kafka.
  • Experience with Linux, containerization, CI/CD pipelines, and Infrastructure-as-Code.
  • Graph analytics frameworks and algorithms (traversal, centrality, community detection, link prediction).
  • Experience with Keycloak and security best practices (authN/Z, secrets management).
  • Familiarity with infrastructure-as-code tools (CloudFormation, Terraform, Pulumi) and building microservices in Kubernetes.
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The Company
HQ: Gambrills, MD
13 Employees
Year Founded: 2014

What We Do

Sunayu is the catalytic agent of engineering change helping company’s, both large and small mature and evolve their technological footprint to resolve their most complex and enduring obstacles. We focus on a DevOps culture to implement and enhance infrastructure as code with specialties in cyber security and big data development. This methodology allows us to provide world class service to all of our customers. We foster a culture of innovation, hard teamwork, perseverance, balance and family. Sunayu delivers innovative creativity using bleeding edge technology. We will re-envision and remodel your infrastructure by focusing on automation, deployment, system engineering, analytics development, configuration management, and information security.

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