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Domo Developer Jobs in Ohio (NOW HIRING)

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers ... Our current stack includes Snowflake, dbt, Looker, Domo , and a variety of source-system connectors ...

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers ... Our current stack includes Snowflake,dbt, Looker, Domo , and a variety of source-system connectors ...

New

Lower LLC

Senior Analyst, Data and Analytics Team

Columbus, OH · On-site

$83K - $104K/yr

Build and maintain dashboards in Looker or Domo that are trusted and can be fully utilized. * Spot ... Partner with the data warehouse engineering side of the team to help write and tune custom SQL ...

Copeland

Manager Procurement Excellence

Sidney, OH

Proven knowledge with developing business analytics, preferably with tools such as Power BI, Tableau, Sigma, or Domo; SQL or other programming experience is desirable * Prior experience leading ...

Copeland

Manager Procurement Excellence

Sidney, OH · On-site

Proven knowledge with developing business analytics, preferably with tools such as Power BI, Tableau, Sigma, or Domo; SQL or other programming experience is desirable * Prior experience leading ...

Copeland

Procurement Systems Analyst

Sidney, OH

Best-in-class engineering, design and manufacturing combined with category-leading brands in ... Working knowledge of modern analytical tools such as Domo, Tableau, Sigma, etc. Our Commitment to ...

Trimble

Associate Commodity Manager

Dayton, OH

$67K - $93K/yr

Bachelor's degree in engineering (BSEE/BSME) or Business with technical experience. Bonus Points For: * Experience acting as an internal super-user for analytics systems such as Cognos or DOMO.

Copeland

Procurement Systems Analyst

Sidney, OH · On-site

Best-in-class engineering, design and manufacturing combined with category-leading brands in ... Working knowledge of modern analytical tools such as Domo, Tableau, Sigma, etc. Our Commitment to ...

Copeland

Senior Financial Analyst

Sidney, OH · On-site

$79K - $98K/yr

Best-in-class engineering, design and manufacturing combined with category-leading brands in ... Familiarity with data analytics tools (Domo, Power BI, Power Query) * Advanced Excel Skills * Prior ...

Copeland

Senior Financial Analyst

Sidney, OH · Hybrid

$79K - $98K/yr

Best-in-class engineering, design and manufacturing combined with category-leading brands in ... Familiarity with data analytics tools (Domo, Power BI, Power Query) * Advanced Excel Skills * Prior ...

giftHEALTH Inc

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

Work closely with Product Engineering to ensure product features, enhancements, and changes are ... Proficiency in data visualization tools such as Tableau, Looker, Metabase, Domo, or similar.

Gifthealth

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

Work closely with Product Engineering to ensure product features, enhancements, and changes are ... Proficiency in data visualization tools such as Tableau, Looker, Metabase, Domo, or similar.

Gifthealth Inc

Sr. Data Analyst

Columbus, OH

$83K - $104K/yr

Work closely with Product Engineering to ensure product features, enhancements, and changes are ... Proficiency in data visualization tools such as Tableau, Looker, Metabase, Domo, or similar.

All JobsDomo Developer JobsDomo Developer Jobs in Ohio

Domo Developer information

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 are popular job titles related to Domo Developer jobs in Ohio? For Domo Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Domo Developer jobs in Ohio look for? The top searched job categories for Domo Developer jobs in Ohio are:
Domo Developer jobs near you
Infographic showing various Domo Developer job openings in Ohio as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

Lower LLC

Columbus, OH • On-site

$102K - $139K/yr

Full-time

Posted 3 days ago

Job description

Here at Lower, we believe homeownership is the key to building wealth, and we're making it easier and more accessible than ever. As a mission-driven fintech, we simplify the home-buying process through cutting-edge technology and a seamless customer experience.
With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9), we're a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger.
Job Description:
Lower.com is looking for a Data Engineer II to join our Data & Analytics team. This is an exciting opportunity to work on a team that supports stakeholders across the entire company and has access to the full breadth of Lower's data ecosystem.
As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across the business. You will work closely with analysts, data engineers, business leaders, and technical stakeholders to create reliable data pipelines, maintain and enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions.
Our current stack includes Snowflake, dbt, Looker, Domo, and a variety of source-system connectors, native pipelines, APIs, data shares, SFTP-based integrations, and Python-based workflows. We are also actively exploring how modern AI development tools and agentic workflows - including tools like Claude Code, Cursor, AI-assisted development, and data-focused automation frameworks - can help us build faster, improve quality, and create better internal data products.
This is a great role for someone who enjoys working in a dynamic, high-growth environment, likes solving data problems, and is excited by the opportunity to use modern tooling, including AI-assisted development, to improve how data teams work.
What you'll do:
  • Build, maintain, and optimize data pipelines across a variety of source systems.

  • Support and improve our core data warehouse infrastructure, primarily in Snowflake, with some legacy warehouse environments such as Redshift.

  • Develop and maintain transformation logic, models, and reusable data assets using tools such as dbt.

  • Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making.

  • Support BI and reporting workflows across Looker and Domo, partnering with analysts and business teams to ensure trusted, consistent metrics.

  • Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations.

  • Write and maintain production-quality SQL, Python scripts, and transformation workflows.

  • Partner with analysts and business stakeholders to understand data needs and translate them into reliable, scalable data solutions.

  • Help ensure our data is accurate, timely, well-documented, and trusted by the teams that rely on it.

  • Explore and adopt AI-assisted engineering tools such as Claude Code, Cursor, and other agentic AI frameworks to improve development velocity, documentation, testing, data quality, and operational efficiency.

  • Support warehouse migrations, platform consolidation, and modernization efforts as the company continues to scale.

  • Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations.

  • Contribute to data quality monitoring, observability, governance, and process improvements.

Who you are:
  • 3-5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.

  • Strong SQL skills and experience working with large, complex datasets.

  • Experience building and maintaining production data pipelines.

  • Experience with cloud data warehouses such as Snowflake, Redshift, BigQuery, or similar platforms.

  • Experience with dbt or similar data transformation frameworks.

  • Experience with Python or another scripting language used for data processing, automation, or pipeline orchestration.

  • Familiarity with data integration patterns, including APIs, SFTP transfers, file-based ingestion, third-party connectors, data shares, and native platform integrations.

  • Comfort working with BI and analytics tools such as Looker, Domo, Tableau, Power BI, or similar platforms.

  • Interest in using modern AI tools to improve data engineering workflows, including AI-assisted coding, documentation, testing, code review, and automation.

  • Comfort working with messy, real-world business data and turning it into clean, trustworthy, usable data assets.

  • Strong problem-solving skills and attention to detail.

  • Ability to work with both technical and non-technical stakeholders.

  • A collaborative mindset and a desire to build reliable systems that help the broader company succeed.

Preferred Experience
  • Experience in the mortgage, lending, financial services, real estate, or fintech industries.

  • Hands-on experience with Snowflake, dbt, Looker, and/or Domo.

  • Experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar tools.

  • Experience exploring or building with AI agents, workflow automation, LLM-powered internal tools, or agentic development frameworks.

  • Experience with orchestration tools, cloud platforms, CI/CD workflows, or modern data stack tooling.

  • Familiarity with data governance, data quality testing, observability, and documentation best practices.

  • Experience supporting executive reporting, operational analytics, marketing analytics, mortgage operations, or sales funnel reporting.

Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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