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Data Engineer Data Analyst Jobs in Canal Fulton, OH

Quanex

Manager, Data Governance

Akron, OH · On-site

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

Quanex

Manager, Data Governance

Akron, OH · On-site

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

Quanex

Manager, Data Governance

Akron, OH · On-site

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

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Showing results 21-40

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Canal Fulton, OH

Data Engineer Data Analyst information

See Canal Fulton, OH salary details

$31.1K

$75.7K

$124.5K

How much do data engineer data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer data analyst in Canal Fulton, OH is $75,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $88,800.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What cities near Canal Fulton, OH are hiring for Data Engineer Data Analyst jobs?

Cities near Canal Fulton, OH with the most Data Engineer Data Analyst job openings:

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Canal Fulton, OH as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 81% In-person, 7% Hybrid, and 12% Remote job distribution, with an average salary of $75,680 per year, or $36.4 per hour.

Senior Manager Data Engineering

Diebold Nixdorf

North Canton, OH • On-site

Full-time

Posted 6 days ago

Diebold Nixdorf rating

7.6

Company rating: 7.6 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

251st of 494 rated machine equipment manufacturers

Job description


Expect more. Connect more. Be more at Diebold Nixdorf. Our teams automate, digitize, and transform the way more than 75 million people around the globe bank and shop in this hyper-connected, consumer-centric world. Join us in connecting people to commerce in this vital, rewarding role.
Provides leadership across Data Engineering, data platform architecture, and enterprise data modernization. Designs, develops, and evolves scalable approaches for how data is ingested, stored, transformed, governed, integrated, and consumed across the organization.
Partners with Data Engineering, Analytics, AI, Architecture, Security, and business teams to establish modern engineering standards and data architectures. Brings strong experience with cloud data platforms, including Microsoft Fabric, medallion architecture, semantic layers, ontology, metadata, knowledge graphs, and data governance.
Responsibilities
  • Provide technical leadership across Data Engineering and data platform architecture.
  • Work with business and technology stakeholders to understand objectives and define scalable data architectures.
  • Define standards for data ingestion, ETL/ELT, transformation, storage, integration, and consumption.
  • Establish modern lakehouse and medallion architecture patterns for enterprise data platforms.
  • Partner with Data Engineering teams to improve engineering practices, platform capabilities, reliability, and performance.
  • Establish and advance data governance practices across data quality, lineage, metadata, access, retention, and lifecycle management.
  • Develop semantic layer, ontology, and knowledge graph capabilities to improve consistency and usability of enterprise data.
  • Identify opportunities to apply new technologies and processes that improve scalability, efficiency, and business value.

Qualifications
  • Bachelor's Degree or equivalent work experience required.
  • 8 to 10 years of experience in Data Engineering, Data Architecture, or Data Platforms, with 2-4 years of leadership experience.
  • Strong knowledge of cloud data platforms, lakehouse and medallion architecture, ETL/ELT, data modeling, and data governance.
  • Experience with Microsoft Fabric, Azure data services, OneLake, or comparable modern data platforms.
  • Understanding of semantic layers, metadata management, ontology, and knowledge graph concepts.
  • Fluent written and verbal English communication skills.

About Us
Why should you join Diebold Nixdorf?
Brightest minds + technology and innovation + business transformation The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce. Our culture is fueled by our values of collaboration, decisiveness, urgency, willingness to change, and accountability.
-Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
** To all recruitment agencies: Diebold Nixdorf does not accept agency resumes. Please do not forward resumes to our jobs alias, Diebold Nixdorf employees or any other organization location. Diebold Nixdorf is not responsible for any fees related to unsolicited resumes**
We are a global Company operating in multiple Locations and Entities. As we are keen to find the best solution for our candidates several legal entities might be applicable for a Job offer. A List of our operating entities can be found here - https://www.dieboldnixdorf.com/en-us/about-us/global-locations

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