Principal Data Engineer

Koniag Professional Services, LLC a Koniag Government Services company is seeking a Principal Data Engineer with a TS/SCI eligible security clearance to support KPS and our government customer in Washington, DC.

• medical insurance
• dental insurance
• vision insurance
• 401(k) retirement plan
• paid time off
• paid parental leave
• life and disability insurance
• flexible spending accounts
• commuter benefits
• tuition reimbursement

Koniag Professional Services (KPS) is seeking a high-performing SETAPrincipal Data Engineer / Data Architectto support mission-critical artificial intelligence, data analytics, and digital modernization initiatives within the Department of War. This individual will serve as a senior technical leader responsible for designing, engineering, integrating, and optimizing enterprise-scale data environments that enable advanced analytics, machine learning, artificial intelligence, and operational decision-making.

The ideal candidate combines deep hands-on data engineering expertise with enterprise architecture experience and the ability to operate effectively with senior government, technical, acquisition, and mission stakeholders. This is not a traditional data-pipeline development position. The successful candidate will help define the technical direction for complex DoW data ecosystems, solve high-impact integration and interoperability problems, and translate mission requirements into scalable, secure, production-ready data solutions.

Key Responsibilities

• Serve as a senior AI2 technical authority in support of government for enterprise data engineering, data architecture, integration, and AI-enabling infrastructure.
• Design and implement highly scalable data architectures supporting structured, semi-structured, and unstructured data across classified and unclassified environments.
• Architect and develop resilient ETL/ELT pipelines, data products, APIs, streaming solutions, and automated data-processing workflows.
• Establish architectures capable of supporting machine learning, generative AI, advanced analytics, decision-support applications, and large-scale data exploitation.
• Design solutions for cloud, hybrid-cloud, and government-hosted environments while accounting for DoW cybersecurity, access-control, compliance, and data-governance requirements.
• Lead integration of disparate DoW, Service, intelligence, acquisition, financial, operational, and business data sources.
• Develop and implement data models, common data standards, metadata strategies, lineage, data quality controls, and data-governance mechanisms.
• Optimize large-scale data platforms for performance, reliability, cost, scalability, and availability.
• Work closely with data scientists from multiple sectors and backgrounds, AI/ML engineers, software engineers, cybersecurity personnel, cloud architects, and mission stakeholders to transition prototypes into operational capabilities.
• Provide technical leadership for architecture reviews, design decisions, engineering standards, and technology-selection activities.
• Evaluate emerging technologies and recommend modernization opportunities involving AI, data fabrics, data meshes, knowledge graphs, vector databases, lakehouse architectures, and distributed computing.
• Diagnose and resolve highly complex technical issues involving data availability, latency, interoperability, security, and system performance.
• Develop technical roadmaps and communicate architectural alternatives, technical risks, tradeoffs, and recommendations to senior government and contractor leadership.
• Mentor engineers and establish engineering practices that improve quality, repeatability, automation, documentation, and delivery velocity.
• Support technical planning, requirements development, acquisition activities, technical evaluations, and government decision-making as required.

Desired Qualifications

Required

• TS/SCI eligible
• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, or a closely related technical discipline.
• Approximately10–15+ years of progressively responsible technical experience, including substantial experience designing and delivering enterprise-scale data solutions.
• Demonstrated experience serving as a senior, principal, lead, or architect-level data engineer.
• Expert-level proficiency with Python and SQL.
• Extensive experience with modern data engineering technologies such as Apache Spark, Databricks, Kafka, Airflow, or comparable platforms.
• Significant experience architecting cloud-based data solutions within AWS, Azure, or comparable enterprise cloud environments.
• Strong understanding of data lake, lakehouse, warehouse, data mesh, data fabric, and distributed data-processing architectures.
• Experience developing production-grade ETL/ELT pipelines and integrating large numbers of heterogeneous data sources.
• Strong knowledge of APIs, microservices, data integration patterns, containerization, CI/CD, infrastructure automation, and DevSecOps principles.
• Experience designing data architectures that support AI/ML workloads and production analytics.
• Demonstrated ability to work with complex mission requirements where technical, cybersecurity, policy, acquisition, and operational considerations intersect.
• Ability to communicate sophisticated technical concepts clearly to senior executives and nontechnical stakeholders.
• Demonstrated ability to independently solve ambiguous, enterprise-level technical problems.

Preferred

• Experience supporting OSW, CDAO, military departments, defense agencies, Combatant Commands, or other DoW enterprise organizations.
• Experience with DoW enterprise data and analytics environments such asAdvana/War Data Platformor comparable platforms.
• Experience with Databricks and large-scale Spark implementations.
• Experience engineering data platforms supporting generative AI, large language models, retrieval-augmented generation, vector databases, or knowledge graphs.
• Experience operating across SIPRNet, JWICS, or other classified computing environments.
• Knowledge of DoW data strategy, zero-trust principles, data tagging, identity/access management, and cross-domain data challenges.
• Experience with Palantir Foundry, Snowflake, PostgreSQL, Elasticsearch/OpenSearch, Neo4j, or similar technologies.
• Experience with Kubernetes, Docker, Terraform, GitLab/GitHub, and automated deployment pipelines.
• Familiarity with MLOps and the operational deployment of AI/ML models.
• Experience supporting technical evaluations, source selections, acquisition strategies, statements of work, performance work statements, or government technical requirements.
• Master’s degree in a relevant technical discipline.
• Relevant certifications such as AWS Solutions Architect Professional, Azure Solutions Architect Expert, Databricks Data Engineer Professional, CISSP, or comparable advanced technical credentials.

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristicprotected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e‑mail at View email address on click.appcast.io or by calling View phone number on click.appcast.io to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long‑term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit

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