Data Engineer (junior career)

Requisition ID: 21798ERP Eligible?: YesERP amount: $50 LMRecognitionRelocation: NoType: ExemptShift: 1Clearance Prior to Start: NoneFinal Clearance: SecretPay Transparency: $70,500.00 - $130,900.00Experience Level: Experienced ProfessionalFT/PT/Casual: FullTimeDepartment: Enterprise Business ServicesBusiness Unit: Enterprise Business ServicesStandard Job DescriptionJoin our classified Aero Data and AI enablement organization where you'll design and build the data solution powering next-generation AI capabilities. This is an opportunity to work on enterprise-scale data platforms that directly support mission-critical objectives in a secure environment.As an AI Data Engineer, you'll architect and deliver data solutions that fuel AI/ML innovation across the program. Working in classified facilities, you'll build the pipelines, data warehouses, and feature stores that transform raw data into mission-ready insights. You'll partner with AI/ML teams, data scientists, and mission stakeholders to create scalable platforms using technologies like SAP HANA, and modern data engineering practices—all while navigating the unique requirements of classified operations.This role offers the chance to shape how data and AI solutions are built and delivered for our mission.Key ResponsibilitiesData Platform & Engineering: You'll design, build, and maintain enterprise-grade data pipelines and warehouse solutions that power AI/ML initiatives. This means creating scalable systems that collect, ingest, process, store, and deliver data at the speed and scale the mission demands. You'll work across local, distributed, and cloud-based technologies, implementing data virtualization, smart caching, and the security controls required to protect classified information.AI/ML Data Solutions: Partner with AI/ML developers to deliver data ready for model training and deployment. You'll build feature stores, create model-ready datasets, and design ontology models that give structure and meaning to complex mission data. Your work enables data scientists and engineers to move faster—from raw data to deployed AI capabilities.Full Lifecycle Data Engineering: Own the entire data solution lifecycle. You'll profile and analyze data, create conceptual, logical, and physical data models, and architect ETL processes that turn unorganized data into analytics-ready sources. Working through requirements gathering to production deployment, you'll define functional capabilities, security specifications, backup and recovery strategies, and performance optimization approaches.Classified Program Operations: Work within secure facilities and classified environments, obtaining required clearances and following all security and authentication protocols. You'll implement the controls and mechanisms required to protect sensitive data while enabling teams to move quickly and deliver value.Basic QualificationsDegree in Computer Science, Systems Engineering, or related field2-4 years of experience in data engineering or related data/analytics roles1+ years of experience supporting AI/ML systems or data science teamsUnderstanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)Proficiency with Python and SQL databases, demonstrated through coursework, projects, internships, or professional experienceUnderstanding of foundational data engineering concepts, including relational databases, data modeling, ETL or ELT pipelines, and data qualityAbility to analyze problems, learn new technologies, and communicate clearly in a collaborative team environmentAbility to work in an Agile development environment and use version-control tools such as GitAble to obtain special program clearanceActive U.S. Government Secret Security ClearanceDesired SkillsFamiliarity with SAP HANA, Neo4j, Eqube or similar data integration, graph database, and data pipeline toolsExposure to AI or machine-learning workflows, including data preparation for model training and analysisFamiliarity with ontologies, taxonomies, knowledge graphs, or semantic data modelingMaster's degree in a related technical field or progress toward advanced degreePay InformationFull-Time Salary Range: $70500.00 - $130900.00At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.