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Data Engineer Data Analyst Jobs in Cleveland, OH

Ohio Machinery Co.

Data Engineer

Broadview Heights, OH · On-site

$111K - $133K/yr

This individual will apply proven communication, analytical, and problem-solving skills to help ... Data Engineering Core Skills * Design, build, and maintain scalable and reliable data pipelines.

Deloitte

Data Engineer II

Cleveland, OH · On-site

$111K - $133K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ...

AlloBaas

Data Engineer II

Lakewood, OH · On-site

$103K - $123K/yr

Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and related analytics tools. * Provide secondary support for Data Integration & Platform Engineering ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... analytical and problem-solving skills Attention to detail and data quality Ability to work with ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... analytical and problem-solving skills Attention to detail and data quality Ability to work with ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... analytical and problem-solving skills · Attention to detail and data quality · Ability to work ...

FirstEnergy

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based approach to pay, which may vary depending on your location. In addition, your actual base salary will ...

FirstEnergy Corp.

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based approach to pay, which may vary depending on your location. In addition, your actual base salary will ...

WW&R

Data Platform Engineer

Independence, OH · Hybrid

$79K - $102K/yr

The Data Platform Engineer is responsible for designing, maintaining, and optimizing the ... This role ensures that data pipelines, storage systems, and analytics platforms operate efficiently ...

ALLOBAAS

Data Engineering Lead

Lakewood, OH · On-site

Lead and mentor a team of Data Engineering and Analyst staff, providing coaching, performance feedback, and professional development opportunities. * Serve as the primary escalation point for complex ...

AlloBaas

Data Engineering Lead

Lakewood, OH · On-site

Lead and mentor a team of Data Engineering and Analyst staff, providing coaching, performance feedback, and professional development opportunities. * Serve as the primary escalation point for complex ...

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and related analytics tools. * Provide secondary support for Data Integration & Platform Engineering ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and related analytics tools. * Provide secondary support for Data Integration & Platform Engineering ...

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Showing results 21-40

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Cleveland, OH

Data Engineer Data Analyst information

See Cleveland, OH salary details

$33K

$80.1K

$131.9K

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

As of Sep 1, 2026, the average yearly pay for data engineer data analyst in Cleveland, OH is $80,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,100.00 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 are popular job titles related to Data Engineer Data Analyst jobs in Cleveland, OH?

For Data Engineer Data Analyst jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Cleveland, OH look for?

The top searched job categories for Data Engineer Data Analyst jobs in Cleveland, OH are:

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

Cities near Cleveland, 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 Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,147 per year, or $38.5 per hour.

Data Engineer

Ohio Machinery Co.

Broadview Heights, OH • On-site

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago

Job description

Description

Find YOUR fit at Ohio Machinery Co.!  Join a winning culture that strives to be the top-performing, dynamic industry leader and partner of choice for the products and solutions that help our customers build, improve, feed, power, and protect our world.  Come grow your career - See what opportunities await today! 

This role is on‑site and requires current residence in Cleveland, Ohio 
Work Authorization: Applicants must be legally authorized to work in the United States on a permanent basis. We do not provide employment sponsorship for this role.
 
Summary:
The Data Engineer's role is to plan, design, develop, test, implement, and maintain efficient information systems with a primary focus on building scalable data pipelines, Lakehouse environments, semantic models, and governed datasets to support business intelligence and advanced analytics. This individual will apply proven communication, analytical, and problem-solving skills to help identify, plan, and implement integrations between disparate systems to maximize the benefit of business system investments.  Frequent interaction is required with internal analysts, project leaders, as well as other internal and external stakeholders such as third-party software vendors.
 
Essential Functions and Responsibilities:
  • Microsoft Fabric / Azure
    • Build and maintain Fabric Lakehouses, Data Warehouses, and OneLake storage layers.
    • Develop Fabric Data Pipelines (Data Factory) for ingestion, transformation, orchestration, and automation.
    • Create and optimize Spark notebooks for ETL/ELT workloads.
    • Implement medallion architecture (bronze/silver/gold) within Fabric.
    • Manage and monitor workloads using Fabric capacities, workspaces, and governance features.
  • Data Modeling & BI
    • Build and maintain semantic models for reporting teams.
    • Work closely with reporting developers (Power BI) to ensure performant data models.
    • Optimize large-scale datasets for consumption and self-service analytics.
  • Data Engineering Core Skills
    • Design, build, and maintain scalable and reliable data pipelines.
    • Work with structured/unstructured data, Delta Lake, parquet, and data lake formats.
    • Implement best practices for data quality, lineage, monitoring, and observability.
    • Improve data performance through indexing, partitioning, caching, and optimization.
  • Collaboration
    • Work with business stakeholders to gather requirements.
    • Contribute to data governance and metadata management practices.
    • Ensure the integrity and security of enterprise data on host computers and databases, and during data transfers, in accordance with business needs and industry best practices regarding privacy, security, and compliance.
    • Conduct research on emerging products, services, protocols, and standards in support of systems software procurement and development efforts.
    • Develop, document, and maintain policies, procedures, and associated training plans for system administration and appropriate use.
    • Provide guidance and serve as an escalation to Help Desk.
    • Recommend, schedule, and perform software and related system improvement, upgrades, patches, reconfigurations, and/or purchases.
Minimum Skills and Qualifications: 
  • College degree or equivalent experience in information technology.
  • Related industry certifications are expected. 
  • Strong knowledge of API Integration & Development.  Enterprise application integration and other middleware technologies, such as web services, databases, and application/content integration.
  • Experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse).
  • Familiarity with Azure Data Services (ADLS, Synapse, ADF, Databricks, etc.).
  • Strong SQL development expertise.
  • Experience with Microsoft SharePoint or similar collaboration tools.
  • A highly qualified candidate would be familiar with some of the following: SharePoint Online, MS Power Automate, Power BI, Reporting Services, and Excel (Pivot Tables).
  • Experience documenting and maintaining configuration and process information.
  • Knowledge of applicable data privacy practices and laws.
  • Strong interpersonal, written, and oral communication skills.
  • Excellent time management and multitasking ability.
  • Highly self-motivated and directed, with strong attention to detail.
  • After hours and weekends, on-call availability.
  • Reliable transportation and freedom to travel upon request.  (Less than 10%.)
Employee Benefits:
  • 401(k): Match and employer discretionary contribution. 
  • Health Insurance: Two options are available, including an HSA with a dollar-for-dollar match of up to $1,200 per year. 
  • Dental & Vision Insurance: Comprehensive coverage options. 
  • Financial Access: Credit Union membership is available. 
  • Insurance: Life Insurance, Short-Term Disability, and Long-Term Disability coverage. 
  • Educational Opportunities: Scholarships for employees’ spouses and children through the Ohio Machinery Education and Opportunity Foundation. 
  • Compensation: Base pay, annual bonus potential, and company success share bonuses. 
Physical Requirements:
  • Sitting for extended periods of time.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components.
  • Lifting and transporting of moderately heavy objects, such as computers and peripherals.
EEO, Veterans & Disabled Employer and VEVRAA/503 Federal Contractor 

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