Data Engineering Specialist Position Location: Phoenix, Arizona (Remote) Tigunia Core Values: To ... Tableau, Domo, Sigma, Superset, etc. Current Example of Benefits: * Competitive salary * Health ...
Quick apply
Data Engineering Specialist Position Location: Phoenix, Arizona (Remote) Tigunia Core Values: To ... Tableau, Domo, Sigma, Superset, etc. Current Example of Benefits: * Competitive salary * Health ...
Data Engineering Specialist Position Location: Phoenix, Arizona (Remote) Tigunia Core Values: To ... Tableau, Domo, Sigma, Superset, etc. Current Example of Benefits: * Competitive salary * Health ...
Quick apply
Data Engineering Specialist Position Location: Phoenix, Arizona (Remote) Tigunia Core Values: To ... Tableau, Domo, Sigma, Superset, etc. Current Example of Benefits: * Competitive salary * Health ...
... engineering, contracting, manufacturing, or another project-based / capital-intensive industry ... Hands-on experience with an ERP system (e.g., NetSuite) and BI / visualization tools (e.g., Domo ...
Quick apply
... engineering, contracting, manufacturing, or another project-based / capital-intensive industry ... Hands-on experience with an ERP system (e.g., NetSuite) and BI / visualization tools (e.g., Domo ...
Domo Developer information
See Phoenix, AZ salary details
$42.01 - $45.80
10% of jobs
$47.42 is the 25th percentile. Wages below this are outliers.
$45.80 - $49.60
34% of jobs
The median wage is $50.55 / hr.
$49.60 - $53.40
21% of jobs
$53.40 - $57.20
5% of jobs
$58.88 is the 75th percentile. Wages above this are outliers.
$57.20 - $60.99
9% of jobs
$60.99 - $64.79
7% of jobs
$64.79 - $68.59
6% of jobs
$68.59 - $72.39
0% of jobs
$72.39 - $76.18
0% of jobs
$76.18 - $79.98
0% of jobs
$79.98 - $83.78
6% of jobs
$42
$55
$83
How much do domo developer jobs pay per hour?
As of Aug 14, 2026, the average hourly pay for domo developer in Phoenix, AZ is $55.72, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $60.87 per hour, depending on experience, location, and employer.
What is the difference between Domo Developer vs Data Analyst?
| Aspect | Domo Developer | Data Analyst |
|---|---|---|
| Required Credentials | Experience with Domo platform, certifications often preferred | Statistical or data analysis certifications, such as CAP or Microsoft certifications |
| Work Environment | Focus on building dashboards, data integration, and platform customization | Data interpretation, reporting, and insights generation |
| Employer & Industry Usage | Used in companies leveraging Domo for BI solutions | Used 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 are popular job titles related to Domo Developer jobs in Phoenix, AZ?
For Domo Developer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Domo Developer jobs in Phoenix, AZ look for?
The top searched job categories for Domo Developer jobs in Phoenix, AZ are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 8 days ago
Job description
Department/Division: Business Intelligence
Position Title: Business Intelligence Analyst
Area of Focus (Sub Team): Data Engineering Specialist
Position Location: Phoenix, Arizona (Remote)
Tigunia Core Values: To produce results, solve your problems with a sense of urgency, treat clients and co-workers with respect, and foster long-term relationships.
Position Description (Abstract):
Tigunia is seeking a technically focused Business Intelligence Analyst with a specialization in data engineering and warehouse modeling. This role is ideal for someone who enjoys building scalable data infrastructure, working with modern data tools, and developing clean, reliable models that power reporting and analytics. While the role is primarily technical, it also includes client-facing responsibilities, including leading smaller engagements and collaborating with stakeholders to ensure solutions meet business needs.
You will work closely with internal teams and clients as a consultant to design and implement integrated data warehouse models, develop transformation logic in Python and SQL, and support reporting platforms like Power BI, Tableau, and Jet Reports. This is a hands-on role requiring strong communication skills, technical depth, and a passion for clean, maintainable solutions.
Key Responsibilities:
- Design and implement scalable, integrated data warehouse models incorporating data from Business Central and other sources
- Develop and maintain data pipelines using Python, SQL, and modern ETL tools
- Lead smaller client engagements, including requirements gathering and solution delivery
- Collaborate with reporting specialists to ensure data models support business KPIs and visualization needs
- Define and document transformation logic, data mappings, and warehouse specifications, adhere to modeling standards and governance practices
- Support report development in Power BI and Jet Reports as needed
- Troubleshoot data quality issues and optimize performance of data models
- Use GitHub for version control, collaboration, and documentation of data engineering workflows
Ideal Candidate Profile:
- Strong technical problem-solver with a passion for data architecture and engineering
- Comfortable working independently and managing priorities across multiple projects
- Experienced in client engagement and capable of leading smaller projects
- Detail-oriented and committed to producing clean, well-documented solutions
Required Skills & Experience:
- 4+ years of experience in data engineering, BI development or related roles
- Experience with ERP data structures and warehouse modeling
- Proficiency in Python and SQL for data transformation and analysis
- Strong experience with Mage.AI, dbt, Microsoft SQL Server, Snowflake, or Microsoft Fabric
- Experience using GitHub for version control, collaboration, and workflow management
- Strong understanding of dimensional modeling and the Kimball methodology
- Experience with documentation, versioning, and data governance practices
Bonus Qualifications:
- Previous experience as a Business Intelligence (BI) Consultant, with strong understanding of analytics and reporting
- Hands-on experience with data governance and metadata management tools, such as: Microsoft Purview, DataHub, OpenMetadata, or Apache Atlas
- Familiarity with Microsoft Business Central and its data structure
- Exposure to various reporting platforms such as: Tableau, Domo, Sigma, Superset, etc.
Current Example of Benefits:
- Competitive salary
- Health insurance for yourself and your family – 100% employer paid for employee and 50% employer paid for dependents
- Dental and Vision insurance for yourself and your family – 100% employer paid for employee and dependents
- Life/AD&D Insurance for yourself – 100% employer paid and covers 100% of your salary
- Short Term Disability for yourself – 100% employer paid and covers 60% of your weekly salary
- Long Term Disability for yourself – 100% employer paid and covers 60% of your monthly salary
- 401k with 4% match
- Flex-time and paid time off to promote a healthy work-life balance
Tigunia provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors.