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Dbt Data Engineer Jobs in Ohio (NOW HIRING)

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 ...

Data Engineer

New Bremen, OH · Hybrid

$118K - $142K/yr

Work with the Starburst/Trino platform using a DBT-based development framework, as well as the Microsoft Fabric platform. * Work with data analysts and BI Developers to guide best practices on data ...

Data Engineer

New Bremen, OH · On-site

$118K - $142K/yr

Work with the Starburst/Trino platform using a DBT-based development framework, as well as the Microsoft Fabric platform. * Work with data analysts and BI Developers to guide best practices on data ...

Data Engineer

New Bremen, OH · Hybrid

$118K - $142K/yr

Work with the Starburst/Trino platform using a DBT-based development framework, as well as the Microsoft Fabric platform. * Work with data analysts and BI Developers to guide best practices on data ...

Data Engineer

New Bremen, OH · On-site

$90 - $150/hr

Work with the Starburst/Trino platform using a DBT-based development framework, as well as the Microsoft Fabric platform. * Work with data analysts and BI Developers to guide best practices on data ...

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 ...

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 ...

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 ...

Senior Data Engineer

Strongsville, OH · On-site

$120 - $180/hr

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 ...

Showing results 21-40

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 cities in Ohio are hiring for Dbt Data Engineer jobs?

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

Infographic showing various Dbt Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Lead Software Engineer - Data Engineering | Data Technology

Socket.dev

Columbus, OH • On-site

$130 - $180/hr

Other

Medical, Retirement

Posted 2 days ago

New


Job description

This is your chance to change the path of your career and work at one of the world's leading financial institutions.

As a Lead Software Engineer – Data Engineering at JPMorgan Chase within theConsumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities:
  • Design, develop, and optimize large-scale ETL (Extract Transform Load) data pipelines.
  • Build high-quality Python applications using modular code, reusable components, logging, and automated testing.
  • Develop and maintain distributed data processing solutions using PySpark.
  • Large scale end-to-end testing design and validation.
  • Implement and support workflow orchestration using Control-M or Apache Airflow (MWAA).
  • Develop cloud-native solutions leveraging AWS services, including Glue, Athena, Lambda, and CloudWatch.
  • Design and manage modern data lake architectures utilizing Iceberg and/or Delta Lake.
  • Administer and optimize Snowflake environments, including streams, tasks, roles, and warehouses.
  • Participate in code reviews and champion engineering best practices, testing standards, and CI/CD processes.
  • Leverage approved AI-assisted development tools while ensuring secure, responsible, and compliant software delivery.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience with a strong focus on data engineering.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages – Python (primary) & Java (secondary)
  • Hands-on experience with PySpark or other distributed data processing frameworks.
  • Strong expertise in DBT (Data Build Tool) and modern ETL (Extract Transform Load) development practices.
  • Experience with workflow orchestration platforms such as Control-M or Apache Airflow (MWAA).
  • Expertise with AWS data services, including Glue, Athena, CloudWatch, and Lambda.
  • Knowledge of modern open table formats such as Iceberg and/or Delta Lake.
  • Experience with Snowflake administration and development.
  • Strong SQL skills and experience with modern database technologies.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Preferred qualifications, capabilities, and skills
  • Experience with Kafka, Flink, or other streaming technologies.
  • Familiarity with AI/ML technologies including LLMs, prompt engineering, vector search, and responsible AI practices.
  • Experience using AI-assisted software development tools such as GitHub Copilot, Claude, or similar technologies.
  • Financial services industry experience and understanding of large-scale enterprise data environments.
  • Experience mentoring engineers and leading technical delivery initiatives.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

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