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Power Bi Data Engineer Jobs in Ohio (NOW HIRING)

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

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 ...

Medpace

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

... Power BI; • Collect, analyze and document user requirements; • Participate in software ... Data Engineering • Knowledge of developing dimensional data models and awareness of the ...

Lower LLC

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

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 ...

Medpace

Junior Data Engineer

Cincinnati, OH · On-site

... Power BI; • Collect, analyze and document user requirements; • Participate in software ... Data or Software Engineering • Knowledge of developing dimensional data models and awareness of ...

Bechtel

PIIM Data Engineer

New Albany, OH · On-site

$110K - $132K/yr

Experience with Power BI datasets, reporting architectures, and analytics solutions. * Knowledge of data quality management, validation, and governance principles. * Experience integrating data ...

Bechtel

PIIM Data Engineer

New Albany, OH

$110K - $132K/yr

Experience with Power BI datasets, reporting architectures, and analytics solutions. * Knowledge of data quality management, validation, and governance principles. * Experience integrating data ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Exposure to Power BI or modern BI tools Key Competencies * Strong problem-solving and analytical ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Exposure to Power BI or modern BI tools Key Competencies * Strong problem-solving and analytical ...

APCO Holdings

Senior Data Developer

Westerville, OH

... Data Engineer, Database Developer, or similar role * Strong experience with SQL Server, SSIS, and ... Familiarity with tools such as SSMS, SSRS, and Power BI Preferred Qualifications * Bachelor ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Exposure to Power BI or modern BI tools Key Competencies * Strong problem-solving and analytical ...

APCO Holdings

Senior Data Developer

Westerville, OH · On-site

... Data Engineer, Database Developer, or similar role * Strong experience with SQL Server, SSIS, and ... Familiarity with tools such as SSMS, SSRS, and Power BI Preferred Qualifications * Bachelor ...

ITBrainiac

BI Developer

Cincinnati, OH

Design and create SSRS and other BI reports Analyze data and data relationship to support report creation Performance tuning Qualifications Top Skillsets: Microsoft SQL Server, Power BI, SSRS, SSIS, ...

ITBrainiac

BI Developer

Cincinnati, OH · On-site

... BI reports • Analyze data and data relationship to support report creation • Performance tuning Qualifications Top Skillsets: Microsoft SQL Server, Power BI, SSRS, SSIS, ETL Additional ...

GHR Healthcare

Senior Data Engineer

Columbus, OH · On-site

$99K - $134K/yr

Contract-to-Hire Position Overview We are seeking an experienced Senior Data Engineer to join a ... Experience with BI and visualization platforms such as Power BI, Tableau, or Qlik . * Experience ...

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All JobsPower Bi Data Engineer JobsPower Bi Data Engineer Jobs in Ohio

Power Bi Data Engineer information

See Ohio salary details

$40

$56

$73

How much do power bi data engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for power bi data engineer in Ohio is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $51.06 and $63.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Power BI data engineer?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

Is Power Bi Data Engineer still in demand in 2026 and after 2026?

Power BI Data Engineers are expected to remain in demand beyond 2026 due to ongoing needs for data visualization, reporting, and analytics in organizations. As businesses increasingly rely on data-driven decision-making, skills in Power BI, data modeling, and cloud integration will continue to be valuable in the job market.

What is a Power BI data engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

How do Power BI data engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.

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

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

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

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

What cities in Ohio are hiring for Power Bi Data Engineer jobs?

Cities in Ohio with the most Power Bi Data Engineer job openings:

Power Bi Data Engineer jobs near you
Infographic showing various Power Bi 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, with an average salary of $118,470 per year, or $57 per hour.

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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