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Domo Developer Jobs in Houston, TX (NOW HIRING)

Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team ... Proficiency with modern visualization tools such as Domo, Power BI, or Tableau, including embedding ...

Paid Media Specialist

Houston, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and content programming Qualifications * 2-4 years marketing experience within an agency or ... Experience/knowledge of tag management tools, reporting and dashboarding tools such as DOMO, A/B ...

Paid Media Specialist

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and content programming Qualifications * 2-4 years marketing experience within an agency or ... Experience/knowledge of tag management tools, reporting and dashboarding tools such as DOMO, A/B ...

Domo Developer information

See Houston, TX salary details

$40

$53

$80

How much do domo developer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for domo developer in Houston, TX is $53.59, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $58.56 per hour, depending on experience, location, and employer.

What is the difference between Domo Developer vs Data Analyst?

AspectDomo DeveloperData Analyst
Required CredentialsExperience with Domo platform, certifications often preferredStatistical or data analysis certifications, such as CAP or Microsoft certifications
Work EnvironmentFocus on building dashboards, data integration, and platform customizationData interpretation, reporting, and insights generation
Employer & Industry UsageUsed in companies leveraging Domo for BI solutionsUsed across various industries for data-driven decision making

While both roles involve working with data, a Domo Developer specializes in creating and managing dashboards within the Domo platform, whereas a Data Analyst focuses on analyzing data and generating insights across different tools and platforms. The Domo Developer's expertise is platform-specific, while Data Analysts often work with multiple data sources and analysis tools.

What is a Domo developer?

A Domo Developer is a specialist who designs, builds, and maintains data solutions using the Domo business intelligence platform. They create data visualizations, dashboards, and reports to help organizations make data-driven decisions. Their responsibilities include integrating data from various sources, transforming and modeling data, and ensuring data accuracy and security within the Domo environment. Domo Developers often work closely with business stakeholders to understand analytics needs and deliver actionable insights.

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

A Domo Developer should possess strong data analytics, ETL (Extract, Transform, Load), and dashboard development skills, typically supported by experience with business intelligence platforms and a background in computer science or a related field. Proficiency with Domo’s proprietary tools, SQL, data connectors, and certifications such as Domo Professional or Domo Specialist are often required. Excellent problem-solving, communication, and the ability to translate business needs into technical solutions are standout soft skills. These competencies ensure that data is effectively transformed into actionable insights, supporting informed decision-making across the organization.

What are some common challenges Domo developers face when integrating data from multiple sources?

Domo Developers often encounter challenges such as data compatibility issues, inconsistent data formats, and managing data refresh schedules when integrating information from various sources. It's important to ensure data accuracy and consistency, which may require creating custom ETL (Extract, Transform, Load) processes or troubleshooting connection errors. Close collaboration with data owners and IT teams is typically necessary to resolve integration problems quickly and maintain reliable dashboards.

What job categories do people searching Domo Developer jobs in Houston, TX look for?

The top searched job categories for Domo Developer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Domo Developer jobs?

Cities near Houston, TX with the most Domo Developer job openings:

Infographic showing various Domo Developer job openings in Houston, TX as of July 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $111,470 per year, or $53.6 per hour.

$109K - $131K/yr

Other

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Job description

Description

Position is located onsite in Houston, Texas. Remote candidates will not be considered. We do not Sponsor Visa's


SUMMARY: MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team. This role plays a key part in delivering MetroNational's analytics experience by translating data into clear, intuitive, and actionable visual solutions. The role combines strong data understanding with a focus on visualization, dashboard design, and web-based analytics delivery. Working closely with business stakeholders, data engineers, and product partners, this position is responsible for building dashboards, interactive applications, and data-driven experiences that make insights accessible and useful across the organization. The ideal candidate brings both analytical rigor and a strong eye for visual design, with a focus on creating solutions that are easy to use, tell a clear story, and support better decision-making.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Design and deliver dashboards, reports, and      interactive analytics applications that communicate insights clearly and      effectively across corporate and property groups.
  • Translate business questions and data      patterns into intuitive visualizations and user-friendly analytics      experiences.
  • Develop and maintain web-based analytics      solutions, including embedded dashboards, lightweight applications, and      visualization components.
  • Partner with the Application Development      team to ensure data is structured and exposed in a way that supports      effective visualization and use.
  • Identify trends, patterns, and anomalies in      data and present findings through clear and effective data storytelling.
  • Establish and promote standards for      dashboard design, usability, and visual consistency across analytics      solutions.
  • Work directly with stakeholders to iterate      on solutions and improve adoption, ensuring analytics tools are useful and      easy to use.
  • Integrate AI-enabled capabilities into      dashboards and analytics applications, exploring ways to surface insights      and improve decision-making through AI.
  • Support ongoing enhancements, performance      improvements, and usability updates across existing dashboards and      analytics applications.


SKILLS, QUALIFICATIONS, AND OTHER REQUIREMENTS

  • Strong ability to design clear, intuitive, and visually effective dashboards and data experiences.
  • Proficiency with modern visualization tools such as Domo, Power BI, or Tableau, including embedding or integrating them into broader applications.
  • Working knowledge of SQL and data analysis concepts, with the ability to explore and understand data patterns.
  • Experience building or supporting web-based analytics experiences, including exposure to frameworks such as React or similar front-end technologies preferred.
  • Strong understanding of data storytelling and how to guide users toward insights through design and interaction.
  • Demonstrated interest in applying AI within analytics and visualization experiences, with a willingness to experiment, learn, and      incorporate AI-driven insights into dashboards, applications, and workflows where they create business value.
  • Ability to translate business needs into practical, user-friendly solutions, balancing analytical depth with usability.
  • Strong communication and collaboration skills, with the ability to work effectively across technical teams and business stakeholders.
  • Attention to detail and a focus on consistency, usability, and adoption across analytics solutions.
  • Familiarity with Agile and SDLC methodologies.
  • Ability to manage multiple projects and priorities simultaneously.


Requirements

EDUCATION AND REQUIRED EXPERIENCE:

  • Bachelor's degree, advance degree a plus.
  • 5+ years of hands-on experience in data engineering within complex organizations.
  • Experience in Real Estate and Property Management industry is a plus.

SKILLS, QUALIFICATIONS, AND OTHER REQUIREMENTS:

  • Strong ability to design clear, intuitive, and visually effective dashboards and data experiences.
  • Proficiency with modern visualization tools such as Domo, Power BI, or Tableau, including embedding or integrating them into broader applications.
  • Working knowledge of SQL and data analysis concepts, with the ability to explore and understand data patterns.
  • Experience building or supporting web-based analytics experiences, including exposure to frameworks such as React or similar front-end technologies preferred.
  • Strong understanding of data storytelling and how to guide users toward insights through design and interaction.
  • Demonstrated interest in applying AI within analytics and visualization experiences, with a willingness to experiment, learn, and      incorporate AI-driven insights into dashboards, applications, and workflows where they create business value.
  • Ability to translate business needs into practical, user-friendly solutions, balancing analytical depth with usability.
  • Strong communication and collaboration skills, with the ability to work effectively across technical teams and business stakeholders.
  • Attention to detail and a focus on consistency, usability, and adoption across analytics solutions.
  • Familiarity with Agile and SDLC methodologies.
  • Ability to manage multiple projects and priorities simultaneously.