Senior Data Engineer

R-00182163 Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, andoperatesustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. If this sounds like the kind of environment where you can thrive, keep reading! TheIntel Security Sectordelivers technology-enabled services and mission software capabilities for defense and intel customers in the areas of cyber,logistics, security operations, and decision analytics. Your greatest work is ahead! TheIntel Security Sectorat Leidos currently has an opening for a Senior DataEngineer. Are youaDataEngineerthat likes towork with big data to produce analysis and visualizations? Would you like to support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics? Ifso, you will be delivering advanced data engineeringcapabilities to push forward national securityobjectives, swiftlyproduceand analyze results,disseminatefindings, and contribute to presentations with actionable intelligence insights. The successful candidate will work on projects to design, develop, and deploybig data analyticandvisualizationproducts to support DIA/NDOC OSINT production on behalf of the Defense Intelligence Enterprise (DIE). This position will be located at one of our customer sites in Bethesda, MD; Reston, VA; or Joint Base Anacostia-Bolling, DC. Are you ready for your next career challenge? Join a team committed to a Mission! Responsibilities Include: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts toproduce and clean large databases,provide data processing, ensuredataquality, integrate large data with applications, prepare data visualizations andproducedashboards usingstate of the art tools, and AI/ML techniques. Apply software engineering and ETL principles to ensure data accuracy, quality, consistency, and scalability. Integrate COTS and customer-developed tools within existing data frameworks to meet operational and analytical requirements. Collaborate withDataOpsteams to prepare, automate, andoptimizedata workflows for real-time analytics. Work onprojectsanalyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively. Provide data preprocessing, quality checks, data integration, and visualization creation. Develop dashboards with tools like Tableau or Power BI and apply AI/ML modules tostructured andunstructured data analysis. Clearance Required: Active TS/SCI clearance with the ability to obtain andmaintainTS/SCI with Polygraph. Required Experience, Skills, and Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline. Minimum 8 years of experience in the field with at least aportionof the experience within the last 2 years. Active TS/SCI clearance with the ability to obtain andmaintainTS/SCI with Polygraph. Due to the nature of the government contracts we support, US Citizenship is required. Proven experience in designing and implementing data pipelines and architectures. Experience with data quality monitoring tools and processes. Excellent communication and interpersonal skills. Experience developing andmaintainingenterprise-scale data pipelines in cloud environments (AWS, Azure, or GCP). Experience implementing ETL/ELT processes and data orchestration frameworks. Strong knowledge of ETL processes and data integration techniques. Experience working with structured and unstructured data sources, including APIs, streaming platforms, and relational/non-relational databases. Experience designing data models to support AI, ML, and advanced analytics use cases. Experience contributing to data product design within a modern data platform architecture. Proficiencyin one or more scripting languages such as R or Python. Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms. Previousexperience performing research and development in data analytics or big data. Track recordof active learning and creative problem solving. Ability to analyze and assess software development or data acquisition requirements anddetermineoptimum, cost-effective solutions. Preferred Experience, Skills, and Education: Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline. Or, as a substitute to theMaster’sdegree aBachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 5 years of related senior experience, for a total of 17 years. Minimum 12 years of experience in the field with at least aportionof the experience within the last 2 years. A significant share of your data analytics experience in direct support of military or intelligence community customers,demonstratingprogressive technical development and mission-focused outcomes. Significant experiencedealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e., DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics. Significant experiencewith knowledge graphs and related technology such as neo4j. Significant experiencewith databases such as SQL, NoSQL, and specifically Elasticsearch. Experience blending analytical methodologies andleveragingexisting COTS/GOTS/FOSS tools in an unconventional manner. Familiarityutilizingcontainerization and container orchestration technology and approaches such as Docker and Kubernetes in development and deployment environments. Experience with Amazon Web Services (AWS/C2S). Familiarity with optimizing machine learning software to take advantage of GPUs. Experience creating dashboards and prototype web applications with technologies such as Kibana, Apache Superset,Streamlit,Gradio, Plotly Dash,Power BI,Tableua,etc. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive professionally and personally. For us, helping you grow your career is good business. We’re excited to learn more about you. #EWOKS If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: April 30, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $92,300.00 - $166,850.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at View email address on click.appcast.io . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission . Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.