{"id":137098,"url":"https://alion.io/job/delaware-nation-industries-data-engineer","title":"AWS Cloud Data Engineer","company":{"id":4167,"name":"Delaware Nation Industries","domain":"delawarenationindustries.com","url":"https://alion.io/company/delawarenationindustries","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dahlgren, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Self-Healing","optional":false},{"name":"Zero Trust","optional":false},{"name":"AWS Bedrock","optional":true}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-21T06:50:56Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"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.\nThis position is expected to work onsite at JWAC in Dahlgren, Virginia, supporting a TS/SCI/SAP environment.\nResponsibilities\nDesign, build, troubleshoot, and tune end-to-end cloud-native data engineering solutions using AWS platform and software services.\nDevelop and administer data ingestion, ETL, integration, transformation, validation, publication, and lifecycle-management workflows.\nIntegrate structured and unstructured data from databases, web services, message traffic, data dumps, documents, and other sources.\nDesign data architectures and managed data stores that support analytics, feature engineering, model training, and real-time inference.\nDevelop 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.\nCreate REST APIs and web services to expose data to JWAC-developed applications and analytical systems.\nSupport AI/ML infrastructure, including model hosting, model-ready datasets, agentic workflow orchestration, retrieval-augmented generation (RAG), and LLM integration and optimization.\nDevelop automation, monitoring, alerting, and self-healing capabilities using AWS-native tools such as Amazon CloudWatch and AWS CloudTrail.\nImplement data discovery and search capabilities using services such as Amazon OpenSearch Service, AWS Glue Data Catalog, and Amazon Kendra.\nApply FinOps practices, including resource tagging, cost allocation, right-sizing, storage tiering, query optimization, budget monitoring, cost-per-workload analysis, and AI/LLM cost tracking.\nImplement DoD Zero Trust and NIST SP 800-53 Rev. 5 security controls across data engineering and AI service environments.\nConfigure identity and access management, least-privilege access, encryption at rest and in transit, network segmentation, certificate management, and security monitoring.\nSupport security assessments, compliance documentation, data-flow diagrams, control mappings, and authorization activities.\nGather requirements, evaluate data sources, communicate technical recommendations, and document architecture, processes, costs, risks, and implementation decisions.\nDevelop briefings, technical proposals, operating procedures, user documentation, training materials, and knowledge-transfer products.\nCollaborate with Government stakeholders, data scientists, analysts, cybersecurity personnel, cloud engineers, and other technical teams.\nRequirements\nBachelor of Science degree in computer science, computer engineering, data engineering, data science, or a related technical discipline. \nAt least three years of full-time experience in computer science, data engineering, or data science, including hands-on software development lifecycle experience. \nRecent experience designing or implementing data engineering solutions or cloud-native systems on AWS. \nAt 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. \nAt 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.\nExperience preparing data for data scientists, including data preparation, feature engineering, and model-ready dataset construction. \nAt least one year of experience implementing cloud-native data security controls, including IAM, encryption, and network segmentation. \nAbility to meet DoD 8140.03 requirements for the applicable work roles, including Primary Work Role 422 - Data Architect (Intermediate). \nAbility to obtain and maintain the required TS/SCI/SAP access.\nAbility to work onsite in Dahlgren, Virginia, during established core hours and support scheduled maintenance activities as required.\nPreferred Qualifications\nExperience with Amazon Bedrock, Knowledge Bases, RAG architectures, agentic services, or LLM prompt and token optimization.\nExperience with AWS Security Hub, Amazon GuardDuty, AWS KMS, AWS IAM Identity Center, and AWS Certificate Manager.\nExperience applying NIST SP 800-53 Rev. 5 and DoD Zero Trust Architecture principles.\nExperience with FinOps dashboards and tools such as AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage Reports.\nExperience with data discovery, federated search, geospatial or non-geospatial search, and knowledge-management solutions.\nExperience supporting classified or highly regulated Department of Defense environments.\nAWS certifications, data engineering certifications, or relevant DoD cybersecurity certifications.\nBenefits\nBenefits Include:\nCovers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental\nMatching 401K\nShort- and Long-Term Disability\nPet Insurance\nProfessional Development/Education Reimbursement\nParking and Transit Benefits for NY, NJ, ATL, and DC Metro areas\nOther Duties:\nPlease 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.\nSalary Compensation: $150,000-$170,000\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","description_format":"text","description_chars":5888,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":true,"languages":[]},"benefits":["401k plan","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-08-24T00:00:00Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.44,"p_room":0.45,"age_days":58,"expected_fill_days":30,"reasons":["conf:2","velocity","win:tail"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":true},"html_url":"https://alion.io/job/delaware-nation-industries-data-engineer","json_url":"https://alion.io/job/delaware-nation-industries-data-engineer.json","meta":{"generated_at":"2026-10-21T08:50:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12469,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4167},"rest":"https://alion.io/mcp/rest/get_company?id=4167"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdelaware-nation-industries-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdelaware-nation-industries-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdelaware-nation-industries-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/delaware-nation-industries-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdelaware-nation-industries-data-engineer"}]}