Tableau Engineer

Jobtailor

Arizona

On-site

USD 90,000 - 120,000

Full time

4 days ago

Be an early applicant

Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

Jobtailor in the United States (Arizona) seeks an experienced BI engineer to design, develop, and optimize Tableau dashboards and analytics solutions for operations and strategy.

You will gather requirements, translate KPIs, collaborate with data engineers, and ensure governance, performance, and scalable data sources. Strong SQL, Snowflake, and Azure experience required; the role emphasizes data visualization and stakeholder storytelling.

Qualifications

5+ years of experience in business intelligence or data visualization development.
At least three years of hands-on Tableau experience in an enterprise environment.
Advanced proficiency with Tableau Desktop, Tableau Server or Tableau Cloud, and Tableau Prep.
Strong SQL skills.
Experience with Snowflake or a similar cloud data platform.
Experience with calculated fields, level of detail expressions, table calculations, parameter-driven dashboards, and dynamic navigation.
Solid understanding of data warehousing, dimensional modeling, medallion architecture, semantic layers, and analytics-ready data structures.
Experience integrating Tableau with enterprise platforms, including Snowflake, Azure, and APIs.
Ability to validate and reconcile data with source systems.
Ability to partner with data engineering teams on Gold‑layer readiness, KPI definitions, and metric standardization.
Ability to translate complex datasets into clear, actionable insights and executive‑level stories.
Strong attention to detail, data quality, visual design, and customer service.
Ability to manage multiple priorities, work independently, collaborate effectively, and troubleshoot production issues quickly.

Responsibilities

Design, develop, and maintain Tableau dashboards, workbooks, and visual analytics solutions for operational, tactical, and strategic decision-making
Gather requirements, clarify KPIs and metrics, and translate business questions into effective visual solutions
Partner with data engineers and data architects to build BI solutions on well-modeled, performant, analytics-ready data sources
Develop and maintain semantic layers, calculated fields, parameters, filters, and certified data sources
Improve dashboard speed and scalability through efficient data modeling, query design, extract strategies, caching, and live-connection best practices
Apply layout, accessibility, storytelling, and user-experience standards to create intuitive and visually compelling analytics
Support Tableau Server or Tableau Cloud publishing, permissions, content organization, user support, enhancements, and production troubleshooting
Implement data governance, access controls, row-level security, lineage, and data-quality practices
Document dashboards, data sources, business logic, calculations, and usage guidance
Work across analytics, product, business, and technology teams to influence delivery standards and reporting operating models

Skills

Tableau Dashboard Development

SQL Proficiency

Data Warehousing Knowledge

Experience with Snowflake

Data Governance Implementation

Tools

Tableau Desktop

Tableau Server

Tableau Prep

Snowflake

Azure

Job description

Design, develop, and maintain Tableau dashboards, workbooks, and visual analytics solutions for operational, tactical, and strategic decision-making
Gather requirements, clarify KPIs and metrics, and translate business questions into effective visual solutions
Partner with data engineers and data architects to build BI solutions on well-modeled, performant, analytics-ready data sources
Develop and maintain semantic layers, calculated fields, parameters, filters, and certified data sources
Improve dashboard speed and scalability through efficient data modeling, query design, extract strategies, caching, and live-connection best practices
Apply layout, accessibility, storytelling, and user-experience standards to create intuitive and visually compelling analytics
Support Tableau Server or Tableau Cloud publishing, permissions, content organization, user support, enhancements, and production troubleshooting
Implement data governance, access controls, row-level security, lineage, and data-quality practices
Document dashboards, data sources, business logic, calculations, and usage guidance
Work across analytics, product, business, and technology teams to influence delivery standards and reporting operating models

Requirements

5+ years of experience in business intelligence or data visualization development
At least three years of hands‑on Tableau experience in an enterprise environment
Advanced proficiency with Tableau Desktop, Tableau Server or Tableau Cloud, and Tableau Prep
Strong SQL skills
Experience with Snowflake or a similar cloud data platform
Experience with calculated fields, level of detail expressions, table calculations, parameter-driven dashboards, and dynamic navigation
Solid understanding of data warehousing, dimensional modeling, medallion architecture, semantic layers, and analytics-ready data structures
Experience integrating Tableau with enterprise platforms, including Snowflake, Azure, and APIs
Ability to validate and reconcile data with source systems
Ability to partner with data engineering teams on Gold‑layer readiness, KPI definitions, and metric standardization
Ability to translate complex datasets into clear, actionable insights and executive‑level stories
Strong attention to detail, data quality, visual design, and customer service
Ability to manage multiple priorities, work independently, collaborate effectively, and troubleshoot production issues quickly

Core Competencies

Demonstrates advanced proficiency in Tableau Desktop, Tableau Server, and Tableau Prep, with a strong focus on data visualization, dashboard design, and data governance. Capable of translating complex datasets into actionable insights while ensuring data quality and effective collaboration across teams.

Highest‑signal resume keywords