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Tableau Software Engineer Jobs (NOW HIRING)

Conduct regular maintenance and upgrades to Tableau software. * Dashboard Development: * Maintain and update dashboards built by other developers * Mentor users in best practices for dashboard ...

Tableau development toolset to design, develop, test, deploy, maintain and improve software ... programming languages Working proficiency in a portion of software engineering disciplines and ...

NAVA Software solutions is looking for a Tableau Developer. Details: Tableau/SQL Developer Location: Houston TX - (2 days/week onsite) Duration: 6 month contract then converts to hire Client needs a ...

Company Description We specialize in Staffing, Consulting, Software Development, and Training along ... Tableau developer 2-5 years - systems architecture experience - database performance concepts ...

Software Engineer Location: Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be ... Experience with data visualization tools such as Tableau, Power BI, Kepler.gl, Deck.gl, or custom ...

Software Engineer Location: Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be ... Experience with data visualization tools such as Tableau, Power BI, Kepler.gl, Deck.gl, or custom ...

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Tableau Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do tableau software engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for tableau software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a Tableau Software Engineer?

A Tableau Software Engineer is a professional who specializes in designing, developing, and maintaining data visualization solutions using Tableau software. They transform raw data into meaningful dashboards and interactive reports to help organizations make data-driven decisions. These engineers often work closely with data analysts, business stakeholders, and IT teams to understand requirements and deliver insightful visualizations. Their expertise typically includes knowledge of SQL, data modeling, and best practices in data visualization.

Is Tableau worth learning in 2026?

Tableau Software Engineer roles require proficiency in data visualization and analytics tools, with Tableau being a leading platform in the industry. Learning Tableau remains valuable in 2026 due to its widespread adoption across organizations for business intelligence, though skills in related tools like SQL and data modeling enhance job prospects.

What is the salary of Tableau engineer?

The average salary for a Tableau Software Engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and company size. Skilled professionals with expertise in data visualization, SQL, and dashboard development tend to earn higher salaries in this role.

Is Tableau in high demand?

Tableau Software Engineers are in high demand due to the increasing need for data visualization and business intelligence skills across industries. Proficiency in Tableau, along with data analysis and dashboard development, can improve job prospects as organizations seek professionals to interpret complex data sets. The role often requires familiarity with SQL, data modeling, and certifications to stay competitive.

How does a Tableau Software Engineer typically collaborate with business stakeholders and data teams?

Tableau Software Engineers often work closely with business analysts, data scientists, and stakeholders to understand reporting requirements and translate them into effective, interactive dashboards. Collaboration usually involves gathering feedback, iterating on visualizations, and ensuring that data insights are accessible and actionable. Regular communication is essential, as engineers must balance technical data integrity with the need for clear, user-friendly reports. This collaborative environment helps ensure that solutions align with business objectives and drive informed decision-making.

What engineer makes $500,000 a year?

A senior or principal software engineer, especially in high-demand fields like data engineering or machine learning, can earn $500,000 or more annually, often including bonuses and stock options. Such roles typically require extensive experience, advanced skills, and often work in competitive tech environments or large companies.

What are the key skills and qualifications needed to thrive as a Tableau Software Engineer, and why are they important?

To thrive as a Tableau Software Engineer, you need a strong background in data analysis, database management, and proficiency with Tableau, often supported by a degree in computer science or a related field. Expertise in Tableau Desktop, Tableau Server, SQL, and data visualization best practices, along with relevant certifications like Tableau Desktop Specialist or Certified Associate, are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills are crucial for delivering high-quality dashboards that drive business decisions and maximize the value of organizational data.

What is the difference between Tableau Software Engineer vs Data Analyst?

AspectTableau Software EngineerData Analyst
Required SkillsProficiency in Tableau development, programming, data modelingData visualization, statistical analysis, SQL
CertificationsTableau Desktop Specialist, Tableau Certified ProfessionalNone specific, often SQL or analytics certifications
Work EnvironmentDeveloping dashboards, integrating data sources, codingInterpreting data, creating reports, analyzing trends
Industry UsageUsed by organizations to build and optimize dashboardsUsed to analyze data and inform business decisions

While both roles involve working with Tableau, a Tableau Software Engineer focuses on developing and maintaining Tableau solutions through coding and technical expertise. In contrast, a Data Analyst primarily interprets data and creates visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

More about Tableau Software Engineer jobs
What job categories do people searching Tableau Software Engineer jobs look for? The top searched job categories for Tableau Software Engineer jobs are:
Infographic showing various Tableau Software Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
SMTS/LMTS Full Stack Software Engineer, Tableau Next

SMTS/LMTS Full Stack Software Engineer, Tableau Next

Tableau Software

San Francisco, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We are part of the Tableau organization, driven by a mission to help people see, understand, and act on data. Our goal is to empower users by transforming complex data into clear, visual insights that drive informed decision-making.Our team is shaping the next generation of analytics, delivering seamless, interactive visualization experiences embedded directly into user workflows and integrated with modern platforms to enhance engagement and collaboration. We strive to support effective decision-making and enable timely actions through intuitive and powerful analytics tools.
Beyond serving data professionals, we have a unique opportunity to innovate with Generative AI-powered intelligence experiences designed for business users. This enables organizations to extend the reach of data-driven insights to a significantly broader audience, making data more accessible and actionable than ever before.
We are seeking a Senior/Lead Software Engineer to play a pivotal role in shaping the Agentic and Visualization Experiences for the next-generation of Tableau(aka Tableau Next). In this role, you will drive the design and development of high-performance, scalable, and extensible platforms, enabling seamless and interactive analytical experiences.You will collaborate closely with UX designers, backend engineers, and product teams to create intuitive, insightful, and visually compelling analytics solutions.
If you're passionate about data visualization, graphics performance, and Agentic Analytics, this is an opportunity to make a significant impact on the future of analytics and data storytelling.
Responsibilities:
  • Architect and develop core visualization components and frameworks for the next-gen Tableau product, ensuring scalability, performance, and flexibility.
  • Optimize large-scale data rendering with Canvas, WebGLwhile enhancing interactivity through filtering, animations, and real-time updates for a smooth user experience.
  • Collaborate with UX designers to implement elegant and intuitive visual representations of complex data.
  • Work collaboratively to design efficient APIs and data-fetching strategies that optimize visualization performance and responsiveness.
  • Drive innovation by exploring and integrating emerging visualization technologies, frameworks, and methodologies.
  • Improve code quality and maintainability through best practices, including modularization, automated testing, and continuous integration.
  • Mentor and guide junior engineers, fostering a culture of technical excellence and innovation.
  • Identify and address performance bottlenecks, ensuring smooth rendering and interactions across different platforms and devices.

Qualifications:
  • 6+ years of industry experience building enterprise-grade distributed systems at scale
  • Strong computer science foundation including data structures, algorithms, and design patterns, with a proven track record in software architecture and system design
  • Experience with object-oriented programming languages such as Java and JavaScript
  • Experience with database technologies including SQL, PL/SQL, relational schema design, and implementing web services and RESTful APIs
  • Expertise in modern web technologies and frameworks including Node.js, React, HTML5, CSS/SASS, JSON, HTTP, and Web Components standards (Shadow DOM, Custom Elements, etc.)
  • Proficiency in web technologies and real-time interaction patterns including streaming APIs, WebSockets, and event-driven architectures
  • Proficiency in engineering best practices including fault tolerance, concurrency, reusability, extensibility, API design, database modeling, maintainability, security, scalability, testability, and overall software quality
  • Experience integrating and orchestrating LLMs and AI services using APIs, SDKs, and agent frameworks such as OpenAI APIs, LangChain, MCP, RAG pipelines, tool calling, and vector databases
  • Familiarity with AI-assisted development workflows including code generation tools, automation agents, and developer productivity tooling
  • Experience working with structured and unstructured data systems including SQL/NoSQL databases, vector databases, semantic indexing, and knowledge retrieval systems
  • Architect, develop, and deploy enterprise-scale product features powered by LLMs, prioritizing an AI-first methodology that minimizes manual coding.
  • Collaborate closely with Product Management on transforming high-level business goals into machine-actionable specs that define non-goals, user journeys and technical constraints.
  • Prompt engineering at scale - Understands that prompts are code: versioned, tested, and monitored
  • Conduct technical design reviews, establish LLM coding patterns for the team, and mentor engineers on GenAI best practices
  • Experience building developer-facing AI tooling or internal AI platforms
  • Stay current on the rapidly evolving LLM ecosystem and bring relevant techniques, tools, and models to the team's attention

Bonus Qualifications:
  • Familiarity with data visualization tools like Tableau or similar BI platforms, and a basic understanding of VizQL concepts.
  • Strong understanding and hands-on experience with modern Data Lakes and Data Warehousing providers, such as Snowflake, Databricks, and Salesforce Data Cloud, among others.
  • Deep experience in JavaScript, especially in rendering frameworks (Canvas, WebGL, SVG).
  • Understanding of AI reliability and quality practices including prompt testing, model evaluation, hallucination mitigation, observability, guardrails, and human-in-the-loop workflows
  • Good understanding of AI application architecture including prompt engineering, context management, retrieval systems, embeddings, memory, evaluation, and latency optimization

Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
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If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.