{"schemaVersion":"jobsearcher.job.v1","id":"0f90c0fc18406ee1ee7bb718","url":"https://jobsearcher.com/jobs/0f90c0fc18406ee1ee7bb718","canonicalUrl":"https://jobsearcher.com/jobs/0f90c0fc18406ee1ee7bb718","title":"[GOA] Senior Data Engineer (Databricks, Python, AI)","description":"[GOA] Senior Data Engineer (Databricks, Python, AI)Join a forward-thinking technology team building a next-generation Intelligence Layer - a governed, AI-powered analytics platform that delivers trusted, real-time answers to questions for both customers and internal users. You'll work on a cutting-edge Databricks stack within a collaborative engineering team, contributing to a system that directly shapes how AI interfaces with business-critical data.Design, build, and maintain data pipelines and curated datasets within Databricks Unity CatalogDevelop and document Metric Views defining core business metrics (schedules, on-time performance, bookings, pricing) to ensure consistency across the platformConfigure and tune domain-specific Genie Agents for conversational analyticsContribute to the multi-agent orchestration architecture, including the Supervisor Agent layerImplement MLflow tracing and evaluation to monitor agent quality and manage versioningSupport the integration of the intelligence layer with external AI tools via the MCP ServerCollaborate with data and product teams to translate business questions into governed, reusable data definitionsProven hands-on experience with Databricks (non-negotiable)Minimum 4 years of relevant data engineering or analytics engineering experienceStrong knowledge of data modelling, Delta Tables, Metric Views, and Genie AgentsExcellent skills in SQL and PythonExperience building solutions using agentic AI methods and patternsFamiliarity with Unity Catalog or similar data governance and lineage frameworksTrack record of delivering reliable, production-grade data pipelines and analytical systemsExperience with MLflow for experiment tracking, model/agent evaluation, or observabilityKnowledge of multi-agent orchestration patterns in enterprise data environmentsFamiliarity with Model Context Protocol (MCP) or exposing AI capabilities via APIsBackground in the aviation or travel industry and understanding of flight data conceptsProfessional development, personal growthFlexible employment and hybrid workNon-corporate atmosphereLunch ticketsPrivate healthcare and insuranceMultisport cardWell-being initiativesTravel programsMore intriguing benefits will be revealed during our interviews","company":"Software Mind","rawCompany":"software mind","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-15T12:42:49.217Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"[GOA] Senior Data Engineer (Databricks, Python, AI)","description":"[GOA] Senior Data Engineer (Databricks, Python, AI)Join a forward-thinking technology team building a next-generation Intelligence Layer - a governed, AI-powered analytics platform that delivers trusted, real-time answers to questions for both customers and internal users. 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