AWS Cloud Data Engineer

DNI (Delaware Nation Industries) is seeking a Data Engineer to support the Joint Warfare Analysis Center under an Air Force IT services task order. The role designs, secures, monitors, and optimizes AWS cloud-native data engineering solutions supporting analytics, AI/ML, agentic services, hosted models, and LLM optimization in a classified 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

Preferred

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

Amazon Bedrock

Amazon Bedrock Knowledge Bases

RAG architectures

Agentic services

LLM prompt optimization

LLM token optimization

AWS Security Hub

Amazon GuardDuty

AWS KMS

AWS IAM Identity Center

AWS Certificate Manager

NIST SP 800-53 Rev. 5

DoD Zero Trust Architecture

FinOps dashboards

AWS Cost Explorer

AWS Budgets

AWS Cost

Usage Reports

Data discovery

Federated search

Geospatial search

Non-geospatial search

Knowledge management

Classified DoD environments

Highly regulated DoD environments

AWS certifications

Data engineering certifications

DoD cybersecurity certifications

Benefits

100% of employee benefit premiums covered, including Medical (PPO or HDHP Option), Vision, and 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

Company

Tribally owned federal contractor providing IT, cybersecurity, and professional services

Oklahoma City, Oklahoma, USA

https://dnigov.com/

Founded in 2015

501-1000 employees

Qualifications

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

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

At least three years of full-time experience in computer science, data engineering, or data science, including hands-on software development lifecycle experience.

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.

At least one year of experience implementing cloud-native data security controls, including IAM, encryption, and network segmentation.

Required skills

AWS Cloud Data Engineering, ETL and Data Integration, Amazon Redshift, Amazon Athena, AWS Glue Data Catalog, AWS Lake Formation, Python, Data Preparation and Feature Engineering, Data Security Controls, Identity and Access Management (IAM), Encryption, Network Segmentation

Experience

3+ years