The Role
Own Tableau Cloud data pipelines, published data sources, semantic models, Tableau Prep flows, data quality checks, governance, security, and performance optimization. Build reliable integrations from Salesforce, PostgreSQL, AWS, and NetSuite; validate reporting against approved figures; prepare models for Tableau MCP and AI agents; document lineage and train Tableau authors.
Summary Generated by Built In
OUR STORY
TechInsights is the information Platform for the semiconductor industry.
Regarded 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.
Over 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.
WHY WORK WITH US
THE OPPORTUNITY:
TechInsights’ 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.
WHAT YOU’LL DO
WHAT YOU’LL BRING
As 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.
WORKING ARRANGEMENT
This role is on-site at our Denver office.
TechInsights is the information Platform for the semiconductor industry.
Regarded 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.
Over 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.
WHY WORK WITH US
- Company-sponsored training and development opportunities
- Comprehensive benefits package (health, dental, vision, wellness, RRSP/401K Matching, annual fitness reimbursement)
- Flexible vacation policy
- Trusted device reimbursement program
- Community involvement opportunities through charitable alliances: https://www.techinsights.com/community-involvement
- Wellness resources and support
- Inclusive environment that prioritizes diversity, equity, and accessibility
- High-growth company driven by high performance
- Expected salary range: $86,275 - $91,350 USD
THE OPPORTUNITY:
TechInsights’ 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.
WHAT YOU’LL DO
- Design 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.
- Standardize calculated fields, LOD expressions and hierarchies at the data-source level so dashboards stay consistent.
- Tune extracts and live connections for performance and refresh cost through aggregation, filtering, incremental refresh and field pruning.
- Prepare 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.
- Test agent queries against our models, find where answers go wrong, and fix the model rather than the prompt.
- Help define Tableau Pulse metrics and the semantic layer that both people and agents rely on.
- Check 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.
- Build automated data quality checks between source systems and Tableau, and flag process failures to data owners.
- Maintain lineage and documentation in Tableau Catalog / Data Management, and set up row-level security, user filters and permissions that follow our governance framework.
- Build, schedule and monitor Tableau Prep flows from Salesforce, PostgreSQL and other sources. You’ll own run reliability, failure alerts and recovery.
- Refactor older flows and extracts so they’re faster, easier to maintain and cheaper to refresh.
- Work with Analysts, Sales, Finance and Salesforce admins to turn reporting needs into durable models, and train Tableau authors through documentation and code review.
WHAT YOU’LL BRING
- 4+ years in data engineering, analytics engineering or BI development, including 2+ years building production Tableau data sources
- Have built and maintained at least 3 production Tableau Prep flows that run on a schedule and use complex joins, unions, pivots and aggregations
- Have 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
- 3+ 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.
- Have designed at least one dimensional model (star schema) end to end, covering grain, slowly changing dimensions, conformed dimensions and many-to-many relationships
- Have reconciled data models or reports to financial or system-of-record figures at least twice, documenting differences and getting stakeholder sign-off
- Have set up row-level security or user-based access controls in Tableau for at least one production data source
- 1+ year working with Salesforce data as a source, including objects, relationships and history tables
- Can 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
- Can share 2+ examples of technical documentation you wrote, such as data dictionaries, lineage notes or design decisions, for both technical and non-technical readers
- A current Tableau certification, such as Tableau Certified Data Analyst or Tableau Certified Architect
- Hands-on use of at least 2 of these: Tableau Pulse, Tableau Catalog / Data Management, VizQL Data Service, Tableau REST API or Metadata API
- Have tested LLM or AI agent access to BI data and measured how accurate the answers were against a known source
- 1+ year using Python for automation, API work or Tableau Prep scripting steps
- Experience with AWS data services (RDS, S3, Lambda) and Git version control for data assets
- Experience with at least one other semantic layer or BI tool, such as Power BI / Microsoft Fabric or dbt
As 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.
WORKING ARRANGEMENT
This role is on-site at our Denver office.
Skills Required
- 4+ years of experience in data engineering, analytics engineering, or BI development
- 2+ years building production Tableau data sources
- Experience building and maintaining at least three scheduled production Tableau Prep flows using complex joins, unions, pivots, and aggregations
- Experience publishing at least five Tableau data sources used across multiple dashboards or teams
- 3+ years writing advanced SQL, ideally PostgreSQL, including window functions, CTEs, and materialized views
- Experience improving a query by analyzing its query plan
- Experience designing at least one dimensional model end to end, including grain, slowly changing dimensions, conformed dimensions, and many-to-many relationships
- Experience reconciling data models or reports to financial or system-of-record figures at least twice, documenting differences and obtaining stakeholder sign-off
- Experience setting up row-level security or user-based access controls in Tableau for a production data source
- At least one year working with Salesforce data as a source, including objects, relationships, and history tables
- Ability to explain the Model Context Protocol and Tableau MCP server, including model features affecting AI-agent answer accuracy
- At least two examples of technical documentation written for technical and non-technical readers
- Current Tableau certification, such as Tableau Certified Data Analyst or Tableau Certified Architect
- Hands-on experience with at least two of Tableau Pulse, Tableau Catalog or Data Management, VizQL Data Service, Tableau REST API, or Tableau Metadata API
- Experience testing LLM or AI-agent access to BI data and measuring answer accuracy against a known source
- At least one year using Python for automation, API work, or Tableau Prep scripting steps
- Experience with AWS data services, including RDS, S3, or Lambda
- Experience using Git version control for data assets
- Experience with another semantic layer or BI tool, such as Power BI, Microsoft Fabric, or dbt
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The Company
What We Do
TechInsights is the most trusted source of technology analysis and market information for the semiconductor and microelectronics industry. Founded in 1989 to provide advanced reverse engineering services to companies seeking to better understand the underlying architecture of the semiconductor; for over 30 years we have existed to support a fair marketplace where semiconductor and electronics intellectual property can be innovated and monetized. We enable business leaders to make the best-informed technology and investment decisions.
