{"id":1074240,"url":"https://alion.io/job/general-dynamics-information-technology-ncis-data-engineer-active-secret-clearance","title":"NCIS Data Engineer | Active Secret clearance","company":{"id":4418,"name":"General Dynamics Information Technology","domain":"gdit.com","url":"https://alion.io/company/gdit","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":33,"ghost_share":0,"stale_share":0.364,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Quantico, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142792,"max":166750,"currency":"USD","period":"year","gross":null,"usd_annual":166750},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-20T06:30:09Z","employer_posted_date":"2026-09-20","last_verified_at":"2026-10-21T23:49:23Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Type of Requisition:\nRegularClearance Level Must Currently Possess:\nSecretClearance Level Must Be Able to Obtain:\nTop Secret/SCIPublic Trust/Other Required:\nNoneJob Family:\nData Science and Data EngineeringJob Qualifications:\nSkills:\nDatabase Integration, Data Management, ETL Pipelines, ETL ProcessingCertifications:\nNoneExperience:\n10 + years of related experienceUS Citizenship Required:\nYesJob Description:\nTransform technology into opportunity as a Data Engineer at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career.\nThe Naval Criminal Investigative Service (NCIS) is an organization of approximately 2,000 personnel of which 700 serve at HQ and the remaining staff serve at offices worldwide. NCIS is the DON component with primary responsibility for criminal investigation, law enforcement (LE), counterterrorism (CT), counterintelligence (CI), and cyber matters. NCIS not only has primary responsibility for all criminal investigative, CI, CT, and cyber matters within the DON, but it also has exclusive investigative jurisdiction in non-combat matters involving actual, potential, or suspected criminal, terrorism, sabotage, espionage and subversive activities.\nMEANINGFUL WORK AND PERSONAL IMPACT\nAs a Data Engineer, the work you’ll do at GDIT will be impactful to the mission of the IT Technology Operations division within the NCIS ITD organization in Quantico, VA:\nThis position will be responsible for advancing the agency’s mission of investigating and defeating criminal, terrorist, and foreign intelligence threats to the DON - in the maritime domain, ashore, and in cyberspace. It will design and build a data hub that collects, stores, aggregates, and process raw data, to include law enforcement data into clean, usable formats for analysis, data visualization, and Machine Learning. It will promote and improve the quality of the data as they build out the architecture and data models while providing innovative ways to implement mission requirements and sustain clean, accurate data that is accessible both automated to systems/applications, DON Jupiter platform and implement security as designated to data by governance. It will focus on expanding the organization’s data ecosystem to include context-rich data while maintaining the agility needed to spark innovation.\n\nStrong ability to design, build, and manage scalable end-to-end data pipelines for data structures, encompassing data transformation, data models, data schemas, metadata and workload management\n\nStrong experience working with large, heterogenous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using traditional data integration technologies\n\nDisplay ability to provide IT expertise for decision makers to build out a new data environment (data hub) and transition the agency to data driven processes.\n\nIdentify data generators/sources, develop a data acquisition and integration strategy, develop and implement best practice for data governance, data quality, data storage, and data usage in analytics and business intelligence.\n\nExperience building and having in-depth knowledge in data hubs and various forms of data housing, warehousing, lakes and marts.\n\nExperience with data management processes facilitating the handling of data via IT infrastructure - data hub, application, cloud and network resources\n\nDisplay knowledge and experience of cloud architectures/platforms and integration of data from on-premises to the cloud\n\nExperience with data cleansing and management to include improvement to meet operational needs.\n\nEstablish enterprise standards - including a uniform and repeatable system development lifecycle methodology for Reference Data and Master Data (e.g., a common set of standards for data naming, abbreviations, and acronyms).\n\nRecommend in the development of improvement/updates to the data environment, implementing schema changes and advise on application and data source updates to keep data accurate and compliant with data governance model.\n\nOptimize and consolidate business and operational data while augmenting it with data about and often generated by customers.\n\nExpand the data infrastructure to include sensor, device data, and other data sources.\n\nMake recommendations to improve the efficiency and effectiveness in how NCIS acquires, stores, manages, shares and applies its data.\n\nEngage business users and stakeholders for the increased release of actionable high-quality data on key operational and tactical activities at NCIS.\n\nDevelop technology solutions to provide the platform, training, and standardized tools enabling querying, data mining, statistical analysis, reporting, scenario modeling, data visualization, and dash-boarding, and processes for a centralized, or analytics as a service model, allowing for the sharing of data across the enterprise from a common hub, facilitates cross-organizational data initiatives due to its enterprise-wide view of data assets and needs.\n\nProvide documentation of data engineering activities such as SOPs.\n\nEstablish data policies, standards, and procedures that improve data quality, availability, accessibility, security, usability, and enforcement of enterprise information management (EIM) program requirements.\n\nWHAT YOU’LL NEED:\nBring your development expertise along with a drive for innovation to GDIT. Our Data Engineer must have:\nSecurity Clearance Level: Active Secret clearance. {Must be able to successfully obtain a TS/SCI post hire.}\n\nRequired Experience: Minimum 10 years or more of work experience in Data Management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks.\n\nStrong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, Java, and Scala.\n\nKnowledge and experience with Machine Learning, AI and data analytics a plus.\n\nExperience working in a Data Management/CDO office a plus.\n\nStrong ability to design, build and manage data pipelines for data structures encompassing:\noData Transformation\noData Models\noSchemas\noMetadata\noWorkload Management\n\nThe ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.\n\nStrong experience with popular database programming languages including SQL and PL/SQL for relational databases.\n\nStrong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. Including:\noETL/ELT\noData Replication/CDC\noMessage-oriented data movement\noAPI design and access\noUpcoming data integration technologies such as [stream data integration, CEP and data virtualization.\n\nStrong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helps to move them in production.\n\nDemonstrated success in working with large, heterogeneous datasets to extract business value using popular data preparation tools such as Databricks, Trifacta, Paxata, and Unifi to reduce or even automate parts of the tedious data preparation tasks.\n\nBasic experience in working with data governance, data quality, and data security teams, data stewards, and privacy and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.\n\nDemonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid environments, multiple operating systems and through containerization techniques such as Docker, Kubernetes, and AWS Elastic Container Service.\n\nDeep law enforcement (LE) information domain knowledge or previous experience working in LE, DoW and/or DON a plus\n\nRequired Certifications: CompTIA Security+ CE required; AWS Certified Data Engineer - Associate Data Engineer Associate Certdesired.\n\nEducation: Bachelor's Degree in a technical discipline discipline; an additional 4 years of experience may be considered in lieu of degree\n\nWork Location: Hybrid: 3 days onsite in Quantico VA; 2 days remote.\n\nUS Citizenship Required.\n\nDESIRED SKILLS AND EXPERIENCE:\nExperience with Databricks, Snowflake, Apache Kafka, Airflow, Spark, ETL Tools\n\nExperience with DON Jupiter\n\nGDIT IS YOUR PLACE\nAt GDIT, the mission is our purpose, and our people are at the center of everything we do.\nGrowth: AI-powered career tool that identifies career steps and learning opportunities\n\nSupport: An internal mobility team focused on helping you achieve your career goals\n\nRewards: Comprehensive benefits and wellness packages, 401K with company match and competitive pay and paid time off\n\nCommunity: Award-winning culture of innovation and a military-friendly workplace\n\nOWN YOUR OPPORTUNITY\nExplore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.\nThe likely salary range for this position is $142,792 - $166,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:\n40Travel Required:\nNoneTelecommuting Options:\nHybridWork Location:\nUSA VA QuanticoAdditional Work Locations:\nTotal Rewards at GDIT:\nOur benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.Our Identity Verification Process:\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.About Our Work:\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","description_format":"text","description_chars":11716,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T02:00:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 21 · green card filings: 4","filings_12m":21,"filings_prev_12m":30,"green_card_filings_12m":4,"median_offered_wage_usd":154900,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":6}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.625,"p_room":0.35,"age_days":31,"expected_fill_days":10,"reasons":["conf:6","velocity","win:tail","comp:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":166750,"is_top_pay":false},"html_url":"https://alion.io/job/general-dynamics-information-technology-ncis-data-engineer-active-secret-clearance","json_url":"https://alion.io/job/general-dynamics-information-technology-ncis-data-engineer-active-secret-clearance.json","meta":{"generated_at":"2026-10-22T08:51:22Z","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":5196,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":4418},"rest":"https://alion.io/mcp/rest/get_company?id=4418"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-dynamics-information-technology-ncis-data-engineer-active-secret-clearance"},{"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%2Fgeneral-dynamics-information-technology-ncis-data-engineer-active-secret-clearance"},{"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%2Fgeneral-dynamics-information-technology-ncis-data-engineer-active-secret-clearance"},{"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/general-dynamics-information-technology-ncis-data-engineer-active-secret-clearance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-dynamics-information-technology-ncis-data-engineer-active-secret-clearance"}]}