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Tableau Developer Jobs in Columbus, OH (NOW HIRING)

VigorCare Pediatric Services

SQL DEVELOPER

Columbus, OH · On-site

$75 - $100/hr

The SQL Developer will be responsible for designing, developing, and maintaining our company's databases and ensuring their stability, reliability, and performance. The ideal candidate will have a ...

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Tableau Developer information

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$10

$52

$72

How much do tableau developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for tableau developer in Columbus, OH is $52.55, according to ZipRecruiter salary data. Most workers in this role earn between $43.37 and $61.97 per hour, depending on experience, location, and employer.

What is a Tableau developer?

Tableau Developers are professionals who specialize in creating, managing, and optimizing data visualizations using Tableau software. They work with data sources to design interactive dashboards and reports that help organizations analyze and interpret complex data. Tableau Developers often collaborate with business stakeholders to understand reporting needs and ensure that data insights are accessible, actionable, and visually compelling.

What does a Tableau developer do?

Tableau software collects and translates large amounts of data into easy-to-read, interactive platforms. These platforms enable businesses to analyze and interpret results from various aspects of their company. Tableau developers are specialized programmers who create tailored reports that assist companies in meeting their goals. These programmers understand the importance of the ETL (extract, transform, load) process of transferring data from the primary source to a new location and know how to organize and use that data in productive ways.

What are the key skills and qualifications needed to thrive as a Tableau developer?

To thrive as a Tableau Developer, you need strong skills in data analysis, visualization, and proficiency with SQL, often supported by a degree in computer science, information systems, or a related field. Familiarity with Tableau Desktop, Tableau Server, and certification such as Tableau Desktop Specialist are commonly required, along with experience in data warehousing and ETL processes. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate business requirements into actionable, insightful dashboards. These skills ensure the delivery of meaningful, accurate visualizations that drive data-informed decision-making in organizations.

What are some common challenges Tableau developers face when working with large datasets, and how can they address them?

Tableau Developers often encounter performance issues when visualizing large datasets, such as slow dashboard loading times and laggy interactivity. To address these challenges, developers can optimize data extracts, use efficient calculations, and limit the number of visualizations on a single dashboard. Collaborating closely with data engineers to ensure proper data modeling and leveraging Tableau's built-in performance optimization tools are also key strategies. Staying proactive about these challenges helps deliver fast, interactive, and insightful dashboards to stakeholders.

What is the difference between Tableau Developer vs Data Analyst?

AspectTableau DeveloperData Analyst
Primary FocusDesigning and developing Tableau dashboards and visualizationsAnalyzing data sets to identify trends and insights
Skills & CertificationsProficiency in Tableau, SQL, data modeling, and visualization toolsStrong Excel, SQL, statistical analysis, and data interpretation skills
Work EnvironmentOften part of BI or data teams, working closely with developers and business usersCollaborates across departments to interpret data and support decision-making
Industry UsageCommon in finance, healthcare, retail, and tech sectorsWidely used across industries for data-driven insights

While both roles involve working with data, Tableau Developers focus on creating visual dashboards using Tableau, whereas Data Analysts analyze data to generate insights. The roles often overlap, but their core responsibilities differ in emphasis on visualization versus analysis.

Are Tableau Developers in demand?

Tableau Developers are in high demand due to the increasing need for data visualization and business intelligence solutions across industries. Employers seek professionals skilled in Tableau, data analysis, and dashboard creation to support data-driven decision-making. The role often requires familiarity with SQL, data modeling, and certifications to enhance job prospects.

How much do Tableau Developers make?

Tableau Developers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and industry. Senior roles or those with advanced skills in data visualization and SQL can command higher salaries, especially with certifications and extensive project experience.
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Tableau Developer jobs near you
Infographic showing various Tableau Developer job openings in Columbus, OH as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $109,299 per year, or $52.5 per hour.

AVP, Data Engineering and AI Innovation

Safelite Group, Inc.

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Posted 23 days ago

Safelite rating

6.6

Company rating: 6.6 out of 10

Based on 244 frontline employees who took The Breakroom Quiz

211th of 371 rated vehicle maintenance

Job description

Does this position interest you? You should apply - even if you don't match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.
Does this position interest you? You should apply - even if you don't match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.
A Brief Overview
The AVP, Data Engineering and AI Innovation will provide executive leadership across Safelite's data engineering, data solutions, and AI data agent teams, setting and driving the strategic vision to build, modernize, and continuously evolve the enterprise data platform and centrally managed data assets. This business-facing technical leader will reimagine what self-service analytics and enterprise data asset management look like in an AI-enabled organization, ensuring the business is served with trusted, timely, and governed data and BI assets that confer actionable, data-driven outcomes. The leader will build and grow high-performing teams of data engineers, BI developers, and AI/data-agent practitioners, expanding their skill sets and building cohesiveness across the function while championing innovation, collaboration, and disciplined data quality, security, and governance. The expected result is a scalable, AI-forward data organization that empowers embedded analysts and business partners across supply chain, field operations, and finance with a single source of truth.
What you will do
  • Set and drive the multi-year strategic vision and roadmap for enterprise data engineering and data solutions, reimagining self-service analytics and enterprise data asset management as AI-enabled capabilities that scale across the organization.
  • Provide technical leadership to continually modernize the data platform, finalizing the decommissioning of legacy data integrations and technologies.
  • Lead the transition to new data assets and ways of working through effective change management and sustained stakeholder engagement.
  • Build, manage, and develop high-performing teams of data and analytics engineers, growing their skill sets and forging cohesiveness into a robust engine for delivering trusted data.
  • Reimagine the role of the data warehouse in embedded-analyst self-service, creating governed, intuitive assets and a single source of truth that empower embedded analysts and business users across the enterprise to work responsibly within AI-native tooling.
  • Champion AI innovation, piloting and scaling AI/ML and agentic capabilities (e.g., data agents) that automate data delivery, data quality, and insight generation.
  • Own enterprise data asset management and contributions to the engineering-led semantic layer to enable scalable, governed reporting across the enterprise.
  • Partner with business stakeholders across supply chain, field operations, and finance to translate needs into data-driven solutions while upholding data quality, security, and governance standards.
  • Act as a trusted advisor to executive leadership, providing strategic recommendations that drive competitive
  • Performs other duties as assigned
  • Complies with all policies and standards

Education Qualifications
  • Bachelor's Degree in computer science, analytics, engineering, or related field Required
  • Master's Degree in computer science, analytics, engineering, business administration, or related field Preferred

Experience Qualifications
  • 10+ years hands-on experience in data engineering, data science, business intelligence, or analytics Required
  • 7-9 years in a data leadership role, which involved creating and implementing a comprehensive data strategy and building and managing data engineering and/or BI organizations Required

Skills and Abilities
  • Ability to set strategic vision and drive multi-year data and AI roadmaps aligned with business goals and enterprise strategy. (High proficiency)
  • Proven ability to reimagine self-service analytics and enterprise data asset management to leverage emerging technology and best-in-class patterns. (High proficiency)
  • Ability to provide strategic guidance and build cohesiveness among data engineers, data architects, and data analysts. (High proficiency)
  • Deep knowledge and experience with advanced SQL concepts. (High proficiency)
  • Hands-on experience with cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) and relational databases. (High proficiency)
  • Deep knowledge of Python. (High proficiency)
  • Experience with Tableau, PowerBI, or an equivalent BI visualization tool, and Excel. (High proficiency)
  • Excellent collaboration and communication skills to convey complex data insights to non-technical stakeholders and align initiatives with business goals. (High proficiency)
  • Working knowledge of engineering-led BI semantic layers and script-based transformation tools (e.g., dbt, AWS Glue, Talend). (High proficiency)
  • Experience applying AI/ML and agentic or generative AI approaches to automate data delivery, quality, and insight generation. (Medium proficiency)
  • Working knowledge of code management and version control practices (e.g., GitHub) to support collaborative development and reproducibility across teams. (Medium proficiency)
  • Experience with large enterprise legacy tooling (e.g., mainframe, Informatica, Oracle Business Intelligence, Cognos). (Medium proficiency)
  • Experience with back office ERP systems (e.g., SAP, Oracle Fusion) and an understanding of core supply chain, field, and finance domains. (Medium proficiency)

This job description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees may be required to perform other related duties as assigned to ensure workload coverage. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.
This position description is not all inclusive for every aspect of this role. Reasonable accommodations will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not, and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job's essential duties because of an ADA disability.
Other qualifications may be required to ensure employment eligibility in accordance with local laws, regulations and with Safelite Group, Inc. policies and practices.

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