Leidos
Leidos
Leidos күрделі клиенттік міндеттерді қолдау үшін ғылым, технология және инженерия салаларында жұмыс істейтін жүйелер интеграторы болып табылады. Компанияның қызметі авиация, қорғаныс, энергетика, мемлекеттік сектор, денсаулық сақтау, барлау, ғылым және ғарыш салаларын қамтиды. Оның мүмкіндіктеріне жасанды интеллект, цифрлық жаңғырту, кибероперациялар және миссияларды басқаруға арналған біріктірілген бағдарламалық жасақтама кіреді. Leidos сондай-ақ әскери мақсатта пайдалануға арналған ұшқышсыз әуе жүйелеріне қарсы қорғаныс жүйелері мен электр көліктері инфрақұрылымы сияқты шешімдерді әзірлейді. Компанияның жалпы бағыты әртүрлілікке, теңдік пен инклюзияға, тұрақты дамуға, қайырымдылық бастамаларына және қоғамдық бағдарламаларға баса назар аударуды қамтиды.

Data Engineer and Architect at Leidos (Remote, US)

Build Leidos’ big data foundation, including schemas and ETL systems. Develop data capabilities for generative AI, retrieval-augmented generation (RAG), and analytics using Python or JavaScript.

Сипаттама

  • Build big data systems, ETL pipelines, and data lakes, lakehouses, or meshes.
  • Create data schemas and ontologies.
  • Build a data foundation for generative AI applications, including RAG, and business analytics.
  • Implement row-level and cell-level data access controls.
  • Write Python or JavaScript code for data integration and application functionality.
  • Document data definitions and designs.
  • Support a new data foundation for analyzing diverse datasets and enabling generative AI applications.
  • Define foundation tools, schemas, and ontologies for software engineers to implement and management to understand.

Талаптар

  • US citizenship.
  • Ability to obtain a Top Secret security clearance in DISS.
  • Bachelor’s degree in a science, engineering, or technology field with 8+ or 12+ years of experience, or a master’s degree in one of those fields with 6+ or 10+ years of experience.
  • Relevant additional experience may substitute for a degree.
  • At least 5 years of experience designing and developing systems to analyze large structured and unstructured datasets from disparate sources.
  • At least 5 years of experience with principles used in AI applications, including RAG.
  • Ability to develop tools, algorithms, and queries that improve business performance.
  • Ability to create technical solutions through hands-on Python or JavaScript development.
  • Ability to develop intelligent systems that analyze data, learn patterns, predict outcomes, and make decisions autonomously.
  • Strong verbal and written communication skills, including explaining data engineering and architecture concepts to nontechnical audiences.
  • Experience working directly with product owners.
  • Preferred: Experience integrating or operating Dagster, PostgreSQL, Alembic, and pgvector.
  • Preferred: Experience with digital engineering using SysML.
  • Preferred: Experience with generative AI applications, including RAG, embeddings, and vector search.
  • Preferred: Experience providing operational support for data foundations and DevOps.
  • Preferred: Familiarity with Medallion-style architecture.
  • Preferred: Current Secret clearance in DISS.

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