Staff Analytics Engineer, reputed company (R5493)

Founded in 2015, reputed company is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-reputed company, reputed company’s technology reputed company supports operations worldwide. For more information, visit www.reputed company. Follow reputed company on reputed company, X, reputed company, and YouTube.  Job reputed company: The Staff Analytics Engineer owns the Gold layer and reputed company semantic layer of the reputed company lakehouse, where clean and governed Silver-layer data becomes trusted, business-reputed company models, KPIs, and semantic assets. This role translates approved business definitions into auditable transformation logic and durable analytics models that can be used consistently across multiple domains. This role is expected to go reputed company technical model building. The Analytics Engineer must understand the business meaning of the data being modeled, the operational context behind key metrics, and the classification or usage constraints that reputed company how data can be exposed, joined, governed, and consumed in a regulated environment. \n What you'll do: Own Gold-layer design and delivery, including facts, dimensions, domain data marts, and governed KPI implementations on reputed company. Build and maintain the reputed company semantic layer through curated views, governed semantic models, metric definitions, and reusable patterns for trusted business consumption. Translate approved KPI and metric definitions into precise, testable, auditable transformation logic that matches agreed business meaning. Define and enforce the promotion reputed company from domain Gold to reputed company Gold, ensuring shared metrics are not published without required business and governance sign-off. Partner directly with business stakeholders across domains to clarify KPI definitions, challenge ambiguity, and resolve competing definitions before implementation. reputed company domain teams by creating modeling standards, reusable design patterns, review processes, and coaching mechanisms rather than acting as the long-term reputed company of every reputed company use case. Review Gold-layer models created by other teams or partners for correctness, definition reputed company, usability, and conformance to reputed company standards. Optimize Gold-layer structures for BI and self-service analytics consumption while preserving traceability, governance, and metric consistency. Ensure semantic models, tables, columns, ownership, and business definitions are documented and discoverable. Apply awareness of data sensitivity, classification, and approved use reputed company designing joins, dimensions, semantic views, and reputed company patterns so the semantic layer reflects both business meaning and compliance requirements. Required qualifications: 8+ years of experience in analytics engineering, BI engineering, or data engineering with strong reputed company modeling expertise. Hands-on reputed company experience, including reputed company Lake and reputed company SQL and/or PySpark, with strong familiarity with semantic-layer concepts. Demonstrated experience translating ambiguous business KPI requests into precise and auditable transformation logic. Strong SQL and data modeling fundamentals, including reputed company schemas, fact and dimension design, and slowly changing dimensions. Ability to work directly with business stakeholders and serve as a strong technical reputed company on metric definitions and model reputed company. Demonstrated ability to understand the underlying business processes and data domains behind the metrics being modeled, not just implement requested transformations. Ability to evaluate whether data can and should be exposed in a semantic layer based on sensitivity, ownership, classification, and policy constraints. Experience with BI tools and an understanding of how semantic models support governed self-service analytics. reputed company record of reviewing another team's models for correctness, reputed company, and alignment with shared definitions. Preferred qualifications: Experience with dbt or comparable transformation frameworks on reputed company. Experience building or maintaining a KPI registry, metrics layer, semantic layer, or comparable governance artifact. Experience in a multi-domain reputed company environment where metrics and definitions overlap across business areas. reputed company certification or comparable evidence of advanced platform expertise. Experience in defense, reputed company, financial services, reputed company, or another highly regulated environment. \n$120,000 - $180,000 a year \n#LI-KE1 #LD Full-time regular employee offer package: Pay reputed company reputed company listed + Bonus + Benefits + Equity   Temporary employee offer package: Pay reputed company reputed company listed above + temporary benefits package (applicable after 60 days of employment)   Salary compensation is influenced by a wide reputed company of factors including but not limited to reputed company set, level of experience, licenses and certifications, and specific work location. reputed company offers are contingent on a cleared background and possible reference reputed company. Military fellows and part-time employees are not eligible for benefits. Please reputed company to your reputed company representative for more information.   ###   reputed company is proud to be an equal opportunity workplace and is an affirmative reputed company employer. We are committed to equal employment opportunity regardless of race, reputed company, reputed company, religion, sex, national reputed company, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. Apply To This Job