{"id":3889442,"url":"https://alion.io/job/techinsights-tableau-data-engineer-modeler-techinsights","title":"Tableau Data Engineer & Modeler - TechInsights","company":{"id":15844,"name":"Techinsights","domain":"techinsights.com","url":"https://alion.io/company/techinsights","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Denver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":86275,"max":91350,"currency":"USD","period":"year","gross":null,"usd_annual":91350},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-06T20:44:14Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T11:56:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"OUR STORY\nTechInsights is the information Platform for the semiconductor industry.\nRegarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights’ content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry-past, present, or future.\nOver 650 companies and 150,000 users access the TechInsights Platform, the world’s largest vertically integrated collection of unmatched reverse engineering, teardown, and market intelligence in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights’ customers include the most successful technology companies who rely on TechInsights’ analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit www.techinsights.com.\nWHY WORK WITH US\nCompany-sponsored training and development opportunities\nComprehensive benefits package (health, dental, vision, wellness, RRSP/401K Matching, annual fitness reimbursement)\nFlexible vacation policy\nTrusted device reimbursement program\nCommunity involvement opportunities through charitable alliances: https://www.techinsights.com/community-involvement\nWellness resources and support\nInclusive environment that prioritizes diversity, equity, and accessibility\nHigh-growth company driven by high performance\nExpected salary range: $86,275 - $91,350 USD\nTHE OPPORTUNITY:\nTechInsights’ Data & Analytics team turns corporate data into clear insights that guide leadership’s decisions on operations and new business initiatives. As our Tableau Data Engineer & Modeler, you’ll own the pipelines and data models behind our Tableau Cloud environment. You’ll build and maintain Tableau Prep flows and design published data sources that are fast, trusted and well governed. You’ll also shape those models so they work as well for AI agents using the Tableau MCP server as they do for people building dashboards. This is a hands-on role close to our core source systems (Salesforce, PostgreSQL on AWS and NetSuite). You’ll have real ownership of our Tableau data structure and work directly with the people who use the data.\nWHAT YOU’LL DO \nDesign certified, reusable published data sources that become the single source of truth for core business entities, using validated business logic and the right grain for each use case.\nStandardize calculated fields, LOD expressions and hierarchies at the data-source level so dashboards stay consistent.\nTune extracts and live connections for performance and refresh cost through aggregation, filtering, incremental refresh and field pruning.\nPrepare models for AI agents using the Tableau MCP server. This means writing clear field names, captions, descriptions and metadata, and removing duplicate fields, unclear measures and inconsistent date logic.\nTest agent queries against our models, find where answers go wrong, and fix the model rather than the prompt.\nHelp define Tableau Pulse metrics and the semantic layer that both people and agents rely on.\nCheck every new or changed model and report against Finance-approved figures or the source system of record before release. Nothing goes live until differences are explained, documented and signed off by the data owner.\nBuild automated data quality checks between source systems and Tableau, and flag process failures to data owners.\nMaintain lineage and documentation in Tableau Catalog / Data Management, and set up row-level security, user filters and permissions that follow our governance framework.\nBuild, schedule and monitor Tableau Prep flows from Salesforce, PostgreSQL and other sources. You’ll own run reliability, failure alerts and recovery.\nRefactor older flows and extracts so they’re faster, easier to maintain and cheaper to refresh.\nWork with Analysts, Sales, Finance and Salesforce admins to turn reporting needs into durable models, and train Tableau authors through documentation and code review.\nWHAT YOU’LL BRING \n4+ years in data engineering, analytics engineering or BI development, including 2+ years building production Tableau data sources\nHave built and maintained at least 3 production Tableau Prep flows that run on a schedule and use complex joins, unions, pivots and aggregations\nHave published at least 5 Tableau data sources used across multiple dashboards or teams, with clear decisions on relationships vs. joins and extracts vs. live connections\n3+ years writing advanced SQL, ideally PostgreSQL, including window functions, CTEs and materialized views. You can show at least one query you improved by reading its query plan.\nHave designed at least one dimensional model (star schema) end to end, covering grain, slowly changing dimensions, conformed dimensions and many-to-many relationships\nHave reconciled data models or reports to financial or system-of-record figures at least twice, documenting differences and getting stakeholder sign-off\nHave set up row-level security or user-based access controls in Tableau for at least one production data source\n1+ year working with Salesforce data as a source, including objects, relationships and history tables\nCan explain how the Model Context Protocol (MCP) and the Tableau MCP server let AI agents read metadata and query data sources, and name at least 3 model features that make agent answers more or less accurate\nCan share 2+ examples of technical documentation you wrote, such as data dictionaries, lineage notes or design decisions, for both technical and non-technical readers\nPreferredA current Tableau certification, such as Tableau Certified Data Analyst or Tableau Certified Architect\nHands-on use of at least 2 of these: Tableau Pulse, Tableau Catalog / Data Management, VizQL Data Service, Tableau REST API or Metadata API\nHave tested LLM or AI agent access to BI data and measured how accurate the answers were against a known source\n1+ year using Python for automation, API work or Tableau Prep scripting steps\nExperience with AWS data services (RDS, S3, Lambda) and Git version control for data assets\nExperience with at least one other semantic layer or BI tool, such as Power BI / Microsoft Fabric or dbt\nAs part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. This information will be used to comply with U.S. Export Control Laws and Regulations.\nWORKING ARRANGEMENT\nThis role is on-site at our Denver office.\nTechnology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We’re committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together.\nTechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.\nAI technology may be used to assist in the screening and assessment of applications for this position. Our recruiters are involved at every stage, and all hiring decisions are made by People and hiring teams.\nAs part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. 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