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Dbt Data Engineer 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 ...

Medpace

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Medpace, Inc.

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Medpace

Junior Data Engineer

Cincinnati, OH · On-site

... tools, (dbt, Azure Data Factory, SSIS); • Design, develop, enhance and support business ... Software Engineering • Knowledge of developing dimensional data models and awareness of the ...

Booz Allen Hamilton

Data Engineer

Dayton, OH

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with ETL tools, such as dbt and Airflow * Experience with Source code management and ...

Booz Allen Hamilton, Inc.

Data Engineer

Dayton, OH · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with ETL tools, such as dbt and Airflow * Experience with Source code management and ...

Booz Allen Hamilton, Inc.

Data Engineer

Dayton, OH · On-site +1

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with ETL tools, such as dbt and Airflow * Experience with Source code management and ...

Booz Allen Hamilton

Data Engineer

Dayton, OH · On-site

$61K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with ETL tools, such as dbt and Airflow * Experience with Source code management and ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data ... Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.

Medpace, Inc.

Data Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Further

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Deep production experience with dbt for data modeling and Airflow for orchestration. * Advanced ...

Further

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Deep production experience with dbt for data modeling and Airflow for orchestration. * Advanced ...

Further

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Deep production experience with dbt for data modeling and Airflow for orchestration. * Advanced ...

Foundation Software

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our ... Fivetran, Azure/Fabric Data Factory, and dbt or similar tools). * Strong experience and knowledge ...

New

Foundation Software

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our ... Fivetran, Azure/Fabric Data Factory, and dbt or similar tools). * Strong experience and knowledge ...

Foundation Software

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Fivetran, Azure/Fabric Data Factory, and dbt or similar tools).Strong experience and knowledge with ... GitHub or Azure DevOps).Experience with BI tools (e.g. Microsoft Power BI or Tableau).Comfortable ...

New

AMEND Consulting

Data Engineer

Cincinnati, OH

$109K - $131K/yr

Overview: The Data Engineer consultant role is an incredibly exciting position in the fastest ... Databricks and DBT experience is a plus * Experience building and optimizing data pipelines ...

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Dbt Data Engineer information

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What are the key skills and qualifications needed to thrive as a dbt data engineer, and why are they important?

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What are popular job titles related to Dbt Data Engineer jobs in Ohio?

For Dbt Data Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Dbt Data Engineer jobs in Ohio look for?

The top searched job categories for Dbt Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Dbt Data Engineer jobs?

Cities in Ohio with the most Dbt Data Engineer job openings:

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Lower LLC

Columbus, OH • On-site

$102K - $139K/yr

Full-time

Re-posted 7 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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