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Tableau Engineer Jobs in Georgia (NOW HIRING)

Accord Technologies Inc.

Sr. Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Solid ETL and BI experience, including tools such as Informatica and Tableau or Power BI ... Data engineering and automation (data extraction/transformation, process automation, database/API ...

Daimler

Adv, Enterprise BI Platforms

Atlanta, GA · On-site

$49 - $63.75/hr

Mercedes-Benz USA is looking for a Lead BI Platform Engineer responsible for the end-to-end ownership of enterprise visualization platforms, including Power BI (Microsoft Fabric) and Tableau. This ...

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How much do tableau engineer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for tableau engineer in Georgia is $47.49, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $56.01 per hour, depending on experience, location, and employer.

What is a Tableau Engineer?

A Tableau Engineer is a data professional who specializes in using Tableau, a leading data visualization and business intelligence tool, to create interactive dashboards and reports. They are responsible for connecting to various data sources, transforming raw data into meaningful insights, and presenting findings in a visually compelling way. Tableau Engineers often work closely with business stakeholders to understand requirements and ensure that the visualizations support data-driven decision-making. They may also optimize dashboard performance and ensure data accuracy and security.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data, or systems engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology companies or finance sectors.

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

To thrive as a Tableau Engineer, you need strong data analysis skills, proficiency in SQL, and experience with Tableau Desktop and Tableau Server, often supported by a relevant degree in computer science or information systems. Familiarity with data warehousing concepts, ETL tools, and Tableau certification are typically expected. Excellent problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills and qualifications are crucial for delivering accurate, visually engaging dashboards that drive informed business decisions.

What is the difference between Tableau Engineer vs Data Analyst?

AspectTableau EngineerData Analyst
Primary FocusDesigning and developing Tableau dashboards and visualizationsAnalyzing data sets to identify trends and insights
Skills & CertificationsProficiency in Tableau, SQL, data modelingExcel, SQL, statistical analysis, Tableau (often)
Work EnvironmentData teams, BI departments, ITBusiness units, analytics teams, marketing, finance
Common UsageBuilding visual tools for data reportingInterpreting data to inform business decisions

While both roles work with Tableau, a Tableau Engineer primarily focuses on creating and maintaining dashboards and visualizations, whereas a Data Analyst emphasizes analyzing data to generate insights. The roles often collaborate but serve different functions within data-driven organizations.

What is the salary of Tableau engineer?

The salary of a Tableau engineer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data visualization and dashboard development can earn higher salaries.

Is Tableau in high demand?

Tableau Engineers are in high demand due to the increasing need for data visualization and business intelligence skills across industries. Organizations seek professionals proficient in Tableau, data analysis, and dashboard development to support data-driven decision-making. The role often requires familiarity with SQL, data modeling, and certifications to enhance employability.

Is Tableau worth learning in 2026?

Tableau remains a valuable skill for Tableau Engineers, as it is widely used for data visualization and business intelligence. Learning Tableau can enhance job prospects, especially when combined with skills in data analysis, SQL, and data modeling. Its continued popularity in organizations supports its relevance in 2026.

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

A Tableau Engineer often works closely with data analysts to understand reporting needs and ensure that data visualizations are both accurate and actionable. They translate business requirements into interactive dashboards, often holding regular meetings with stakeholders to gather feedback and iterate on solutions. Collaboration also involves troubleshooting data discrepancies, optimizing dashboard performance, and providing training or support to end users. This teamwork is critical for delivering insights that drive decision-making across departments.
What are popular job titles related to Tableau Engineer jobs in Georgia? For Tableau Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Tableau Engineer jobs in Georgia look for? The top searched job categories for Tableau Engineer jobs in Georgia are:
Tableau Engineer jobs near you

Sr. Data Engineer

Accord Technologies Inc.

Alpharetta, GA • On-site

$111K - $134K/yr

Contractor

Posted 8 days ago

Job description

Sr. Data Engineer
Alpharetta, GA (Face to face required)
Position type: W2 contract
Job Functions/Duties and Responsibilities:
  • Solve complex engineering problems and lead system design and development activities.
  • Understand business processes, a bigger picture and core ideas behind the developed software.
  • Define engineering guidelines and quality control pipeline; perform code reviews.
  • Advocate and advance toward cutting edge engineering practices.
  • Working in the Agile development methodologies, collaborating with business and technology teams located globally.
  • Actively contribute and participate in sprint grooming and planning discussions, daily stand-ups, and Agile ceremonies
  • Work with various teams and stakeholders across geography and time zones.

Skills Required

  • 10 years of experience in data-focused roles.
  • Strong proficiency in developing and maintaining database objects, including stored procedures and functions.
  • Demonstrated experience in database design and development, advanced SQL/PL/SQL, and performance tuning (SQL Server preferred).
  • Hands-on expertise with enterprise database platforms such as DB2, SQL Server, Oracle, and/or Teradata.
  • Solid ETL and BI experience, including tools such as Informatica and Tableau or Power BI.
  • Excellent communication skills with the ability to partner effectively with both business users and IT teams across regions, and to lead delivery of IT outcomes.
  • Proven ability to collaborate with stakeholders and partners across geographies and time zones.
  • Strong growth mindset with a track record of personal excellence, collaboration, and continuous improvement.
  • Understanding of large-scale enterprise application requirements, including security controls, entitlements, and related governance considerations.
  • Experience working within Agile delivery methodologies (e.g., Scrum/Kanban).
  • Proficiency with Git and modern source control/development workflows (e.g., branching, code reviews, CI-friendly practices).
  • Strong computer science fundamentals, including scalable, resilient system design and sound engineering principles.
  • Hands-on experience building and maintaining BI dashboards using Tableau and/or Power BI.
  • Experience working with the Snowflake data platform (e.g., data modeling, performance considerations, and best practices).
  • Proven delivery experience in Agile environments (e.g., Scrum/Kanban), including iterative development and stakeholder collaboration.
  • Strong Python skills applied to data use cases, including:
  • Data engineering and automation (data extraction/transformation, process automation, database/API integrations; e.g., pandas, SQLAlchemy)
  • Analytics and reporting (data analysis, reusable workflows; e.g., pandas, NumPy)
  • ETL pipeline support (orchestration support, reusable utilities, and data quality validation/checks)
  • Working knowledge of database fundamentals, covering both relational and NoSQL technologies.
  • Basic familiarity with DevOps concepts and practices (e.g., CI/CD fundamentals, environment management, and deployment hygiene).