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Bi Engineer Jobs in Ohio (NOW HIRING)

The Lead BI Developer on the IS Corporate Administration Team realizes this purpose by designing, developing, and maintaining scalable business intelligence solutions that provide enterprise-grade ...

The Lead BI Developer on the IS Corporate Administration Team realizes this purpose by designing, developing, and maintaining scalable business intelligence solutions that provide enterprise-grade ...

Company Description Nature of Work: • Design and create SSRS and other BI reports • Analyze data and data relationship to support report creation • Performance tuning Qualifications Top ...

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, ...

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Bi Engineer information

See Ohio salary details

$37.1K

$96.7K

$130.7K

How much do bi engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for bi engineer in Ohio is $96,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $110,800.00 per year, depending on experience, location, and employer.

How much does a BI engineer make at Costco?

A Business Intelligence (BI) Engineer at Costco typically earns an average salary ranging from $80,000 to $120,000 annually, depending on experience, location, and specific responsibilities. They often work with data analysis tools and require strong SQL and data visualization skills.

What are BI Engineers?

BI Engineers, or Business Intelligence Engineers, are professionals who design, develop, and maintain data solutions to help organizations make informed business decisions. They build and manage databases, data pipelines, and reporting systems that transform raw data into actionable insights. BI Engineers often work with tools such as SQL, ETL (Extract, Transform, Load) frameworks, and visualization platforms like Tableau or Power BI. Their work enables companies to analyze trends, identify opportunities, and improve overall performance.

What is the difference between Bi Engineer vs Data Analyst?

AspectBi EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentData warehouses, ETL pipelines, cloud platformsData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding technical data infrastructure rolesInterpreting data for business insights

Bi Engineers focus on building and maintaining data pipelines, warehouses, and infrastructure, requiring technical skills in data engineering. Data Analysts interpret data to generate reports and insights, emphasizing analytical skills. While both roles work with data, Bi Engineers handle the technical backbone, whereas Data Analysts focus on data interpretation for decision-making.

What does a BI engineer do?

A BI (Business Intelligence) engineer designs, develops, and maintains data systems and dashboards to help organizations analyze and visualize data for decision-making. They work with tools like SQL, data warehouses, and visualization platforms, often requiring strong analytical skills and knowledge of data modeling. BI engineers ensure data accuracy and accessibility for business insights.

What are the key skills and qualifications needed to thrive as a BI Engineer, and why are they important?

To thrive as a BI Engineer, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as expertise in SQL, ETL processes, and data warehousing technologies, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you convey complex insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence that drives informed decision-making.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or certain senior software engineering roles can earn $500,000 or more annually, often including bonuses and stock options. These positions typically require advanced skills, extensive experience, and often work in high-stakes or high-demand industries.

What engineers make $300,000 a year?

Senior engineers in fields such as software, petroleum, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require specialized expertise, advanced degrees, and sometimes work in high-demand industries or locations with premium compensation packages.

How does a BI Engineer typically collaborate with data analysts and business stakeholders to deliver actionable insights?

A BI Engineer often works closely with data analysts to design data models, build efficient ETL pipelines, and ensure the accuracy and accessibility of data within business intelligence tools. They partner with business stakeholders to gather requirements, translate business needs into technical solutions, and present data in a way that supports decision-making. Effective communication and a collaborative mindset are crucial, as BI Engineers frequently participate in meetings to align on project goals, clarify data definitions, and iterate on dashboards or reports based on feedback.
What job categories do people searching Bi Engineer jobs in Ohio look for? The top searched job categories for Bi Engineer jobs in Ohio are:
Infographic showing various Bi Engineer job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $96,736 per year, or $46.5 per hour.

Full-time

Re-posted yesterday


J.M. Smucker rating

8.2

Company rating: 8.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

68th of 434 rated food and drinks producers


Job description

Your Opportunity as the Lead BI Developer, Information Services - Corporate Administration
The Smucker Information Services (IS) department enables technology solutions for capabilities that help our business perform, transform and grow. The Lead BI Developer on the IS Corporate Administration Team realizes this purpose by designing, developing, and maintaining scalable business intelligence solutions that provide enterprise-grade reporting and analytics. The Lead BI Developer will drive the building and optimization of data transformations and curated reporting objects within the company-standard data lakehouse architecture (Databricks), ensuring high-quality, consumable datasets for analytics. This role emphasizes visualization delivery, BI solution development, and data platform best practices. The Lead BI Developer serves as an advisor and subject matter expert to business stakeholders and IS partners, providing a clear vision for downstream reporting via trusted and reusable data assets.
Location: Orrville, Ohio (Close proximity to Cleveland/Akron)
Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires
In this role you will:
  • Partner directly with internal business customers of varying analytics maturity and data literacy to plan and deliver opportunities for business intelligence and insights that drive business outcomes. Influence and contribute to capability and technology roadmaps within business areas, particularly pertaining to reporting and analytics.
  • Lead the design, development, and maintenance of curated data transformations, scalable data assets and reporting objects in the Databricks Platinum layer to support enterprise BI and analytics use cases.
  • Lead the design, development and maintenance of Tableau dashboards and other visualizations by ensuring alignment to architectural standards and optimization for performance and usability.
  • Influence and clarify business requirements that lead to efficient, well-structured data transformations and semantic layers.
  • Implement performance tuning and optimization strategies for large-scale data processing and BI workloads.
  • Influence the design and operation of data pipelines, partnering with Enterprise Data Platform teams on their delivery of data engineering, modeling and governance activities.
  • Provide expert knowledge and support to audit and compliance activities involving BI reports. Serve as an escalation point for analytics resources within business functions.
  • Influence and steward data governance, naming standards and development lifecycle practices.
  • Lead improvements to BI architecture, tooling, and development processes that support data quality, consistency and reliability across curated datasets.
  • Mentor junior team members and provide subject matter expertise on BI development and visualization best practices as well as reporting enablement.

What We Are Looking For:
Minimum Requirements:
  • 5+ years of experience in BI development, analytics engineering or related roles.
  • Bachelor's degree in a STEM discipline (Business, Engineering, MIS, Computer Science, or related field) or specialized training in Information Technology and/or Data Analytics.
  • Experience delivering assignments independently under limited guidance within formal delivery methodologies/frameworks (Agile, Traditional/Waterfall, DevOps).
  • Familiarity with modern data architecture concepts such as Lakehouse, ELT frameworks, and data orchestration tools.
  • Strong experience with Databricks or similar cloud data platforms, including data transformation development.
  • Experience with preparing data and developing visualizations in tools such as Tableau
  • Experience making decisions and guiding approach on applying SQL-based languages (e.g., SQL Server, Oracle SQL, or MySQL) for data extraction, transformation, and analysis across complex datasets.
  • Knowledge of CI/CD practices within data and analytics development.
  • Advanced understanding of performance optimization techniques for large datasets. Experience navigating trade-offs between design approaches and fulfillment of requirements.
  • Ability to design scalable, maintainable, and well-documented data solutions. Experience influencing designs and improving documentation processes.
  • Advanced problem-solving and technical troubleshooting skills.
  • Excellent communication skills with ability to translate technical concepts to non-technical stakeholders.

Additional skills and experience that we think would make someone successful in this role (not required):
  • Experience working in CPG-related analytics environments or supporting administrative functions such as Finance, Accounting, Human Resources, Communications, Legal, Enterprise Risk, Ethics & Compliance.
  • Experience integrating Databricks with enterprise BI ecosystems.
  • Experience with Python or other scripting languages for data processing.
  • Experience applying artificial intelligence (AI) capabilities and technology toward solution development and analytics use cases
  • Experience implementing data governance and metadata management practices, including use of platforms such as Atlan.
  • Demonstrated ability to train, mentor or manage work of other resources (internal or contracted) on business intelligence topics.
  • Knowledge of modern IT concepts such as Cloud Computing and Infrastructure as Code.

The Right Place for You
We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.
Stay connected with us on LinkedIn®
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.

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