Delaware Nation Industries

Tribal holding company, prime government contractor.

AWS Cloud Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeDahlgren, VA, USA

About the Job

Requirements

A Bachelor of Science degree in computer science, computer engineering, data engineering, data science, or a related technical discipline is required.
At least three years of full-time experience in computer science, data engineering, or data science, including hands-on software development lifecycle experience, is required.
Recent experience designing or implementing data engineering solutions or cloud-native systems on AWS is required.
At least one year of experience with cloud-native data warehouse or analytics platforms, such as Amazon Redshift, Amazon Athena, AWS Glue Data Catalog, or AWS Lake Formation, is required.
At least one year of experience supporting data science applications and analytical tools such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight is required.
Experience preparing data for data scientists, including data preparation, feature engineering, and model-ready dataset construction, is required.
At least one year of experience implementing cloud-native data security controls, including identity and access management, encryption, and network segmentation, is required.
Ability to meet DoD 8140.03 requirements for the applicable work roles, including Primary Work Role 422 – Data Architect (Intermediate), is required.
Ability to obtain and maintain the required TS/SCI/SAP access is required.
Ability to work onsite in Dahlgren, Virginia, during established core hours and support scheduled maintenance activities as required.

Responsibilities

Design, build, troubleshoot, and tune end-to-end cloud-native data engineering solutions using AWS platform and software services.
Develop and administer data ingestion, ETL, integration, transformation, validation, publication, and lifecycle-management workflows.
Integrate structured and unstructured data from databases, web services, message traffic, data dumps, documents, and other sources.
Design data architectures and managed data stores that support analytics, feature engineering, model training, and real-time inference.
Develop solutions using AWS services such as AWS Glue, Amazon Athena, Amazon Redshift, Amazon Kinesis, AWS Lake Formation, AWS Glue Data Catalog, Amazon RDS, Amazon Aurora, and Amazon DynamoDB.
Create REST APIs and web services to expose data to JWAC-developed applications and analytical systems.
Support AI/ML infrastructure, including model hosting, model-ready datasets, agentic workflow orchestration, retrieval-augmented generation, and large language model integration and optimization.
Develop automation, monitoring, alerting, and self-healing capabilities using AWS-native tools such as Amazon CloudWatch and AWS CloudTrail.
Implement data discovery and search capabilities using services such as Amazon OpenSearch Service, AWS Glue Data Catalog, and Amazon Kendra.
Apply FinOps practices, including resource tagging, cost allocation, right-sizing, storage tiering, query optimization, budget monitoring, cost-per-workload analysis, and AI/LLM cost tracking.
Implement DoD Zero Trust and NIST SP 800-53 Rev. 5 security controls across data engineering and AI service environments.
Configure identity and access management, least-privilege access, encryption at rest and in transit, network segmentation, certificate management, and security monitoring.
Support security assessments, compliance documentation, data-flow diagrams, control mappings, and authorization activities.
Gather requirements, evaluate data sources, communicate technical recommendations, and document architecture, processes, costs, risks, and implementation decisions.
Develop briefings, technical proposals, operating procedures, user documentation, training materials, and knowledge-transfer products.
Collaborate with Government stakeholders, data scientists, analysts, cybersecurity personnel, cloud engineers, and other technical teams.

Desired Qualifications

Experience with Amazon Bedrock, Knowledge Bases, retrieval-augmented generation architectures, agentic services, or large language model prompt and token optimization.
Experience with AWS Security Hub, Amazon GuardDuty, AWS Key Management Service, AWS IAM Identity Center, and AWS Certificate Manager.
Experience applying NIST SP 800-53 Rev. 5 and DoD Zero Trust Architecture principles.
Experience with FinOps dashboards and tools such as AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage Reports.
Experience with data discovery, federated search, geospatial or non-geospatial search, and knowledge-management solutions.
Experience supporting classified or highly regulated Department of Defense environments.
AWS certifications, data engineering certifications, or relevant DoD cybersecurity certifications.

AWS Cloud Data Engineer 3065-19

Delaware Nation Industries · Dahlgren, United States · Full-time · Posted 2026-11-03

Salary: USD 150,000–170,000

Workplace: on_site

Department: AF JITS

Description

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC) under Air Force JWAC IT Services (JITS) Task Order 2. The Data Engineer will design, implement, secure, monitor, and optimize cloud-native data engineering solutions that support data science, artificial intelligence/machine learning (AI/ML), agentic services, hosted models, and large language model (LLM) optimization. The role integrates data engineering, FinOps, Zero Trust security, and AI/ML infrastructure responsibilities within a single position.

This position is expected to work onsite at JWAC in Dahlgren, Virginia, supporting a TS/SCI/SAP environment.

Responsibilities

Design, build, troubleshoot, and tune end-to-end cloud-native data engineering solutions using AWS platform and software services.
Develop and administer data ingestion, ETL, integration, transformation, validation, publication, and lifecycle-management workflows.
Integrate structured and unstructured data from databases, web services, message traffic, data dumps, documents, and other sources.
Design data architectures and managed data stores that support analytics, feature engineering, model training, and real-time inference.
Develop solutions using AWS services such as AWS Glue, Amazon Athena, Amazon Redshift, Amazon Kinesis, AWS Lake Formation, AWS Glue Data Catalog, Amazon RDS, Amazon Aurora, and Amazon DynamoDB.
Create REST APIs and web services to expose data to JWAC-developed applications and analytical systems.
Support AI/ML infrastructure, including model hosting, model-ready datasets, agentic workflow orchestration, retrieval-augmented generation (RAG), and LLM integration and optimization.
Develop automation, monitoring, alerting, and self-healing capabilities using AWS-native tools such as Amazon CloudWatch and AWS CloudTrail.
Implement data discovery and search capabilities using services such as Amazon OpenSearch Service, AWS Glue Data Catalog, and Amazon Kendra.
Apply FinOps practices, including resource tagging, cost allocation, right-sizing, storage tiering, query optimization, budget monitoring, cost-per-workload analysis, and AI/LLM cost tracking.
Implement DoD Zero Trust and NIST SP 800-53 Rev. 5 security controls across data engineering and AI service environments.
Configure identity and access management, least-privilege access, encryption at rest and in transit, network segmentation, certificate management, and security monitoring.
Support security assessments, compliance documentation, data-flow diagrams, control mappings, and authorization activities.
Gather requirements, evaluate data sources, communicate technical recommendations, and document architecture, processes, costs, risks, and implementation decisions.
Develop briefings, technical proposals, operating procedures, user documentation, training materials, and knowledge-transfer products.
Collaborate with Government stakeholders, data scientists, analysts, cybersecurity personnel, cloud engineers, and other technical teams.

Requirements

Bachelor of Science degree in computer science, computer engineering, data engineering, data science, or a related technical discipline.
At least three years of full-time experience in computer science, data engineering, or data science, including hands-on software development lifecycle experience.
Recent experience designing or implementing data engineering solutions or cloud-native systems on AWS.
At least one year of experience with cloud-native data warehouse or analytics platforms, such as Amazon Redshift, Amazon Athena, AWS Glue Data Catalog, or AWS Lake Formation.
At least one year of experience supporting data science applications and analytical tools such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight.
Experience preparing data for data scientists, including data preparation, feature engineering, and model-ready dataset construction.
At least one year of experience implementing cloud-native data security controls, including IAM, encryption, and network segmentation.
Ability to meet DoD 8140.03 requirements for the applicable work roles, including Primary Work Role 422 – Data Architect (Intermediate).
Ability to obtain and maintain the required TS/SCI/SAP access.
Ability to work onsite in Dahlgren, Virginia, during established core hours and support scheduled maintenance activities as required.

Preferred Qualifications

Experience with Amazon Bedrock, Knowledge Bases, RAG architectures, agentic services, or LLM prompt and token optimization.
Experience with AWS Security Hub, Amazon GuardDuty, AWS KMS, AWS IAM Identity Center, and AWS Certificate Manager.
Experience applying NIST SP 800-53 Rev. 5 and DoD Zero Trust Architecture principles.
Experience with FinOps dashboards and tools such as AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage Reports.
Experience with data discovery, federated search, geospatial or non-geospatial search, and knowledge-management solutions.
Experience supporting classified or highly regulated Department of Defense environments.
AWS certifications, data engineering certifications, or relevant DoD cybersecurity certifications.

Benefits

Benefits Include:

Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental
Matching 401K
Short- and Long-Term Disability
Pet Insurance
Professional Development/Education Reimbursement
Parking and Transit Benefits for NY, NJ, ATL, and DC Metro areas

Other Duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Salary Compensation: $150,000-$170,000

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About the Company

Delaware Nation Industries

Tribal holding company, prime government contractor.

Delaware Nation Industries (DNI) acts as the economic development arm and holding company for Delaware Nation’s non-gaming subsidiaries that work with federal government clients as a prime contractor and system integrator. Its subsidiaries combine capabilities: DNI Emerging Technologies delivers cybersecurity, UAS, geospatial, R&D, and data solutions to government enterprises; Channel Blend provides campaign support and data-driven results; DNI HG, a joint venture, addresses federal data challenges with a specialized service model. The company differentiates itself by leveraging its tribal status as a governance and contracting advantage while offering a diversified, multi-domain prime contracting portfolio rather than a single service line. Its goal is to generate financial returns to ensure the Delaware Nation’s economic independence and prosperity while meeting federal partners’ missions through integrated, government-focused solutions.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2019

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