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Data Engineer Jobs in Lima, OH (NOW HIRING)

Design data models and structures that support efficient reporting, dashboards, and analytics use ... Bachelor's Degree in Engineering, Science, Information Systems, Finance or related field with at ...

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Data Engineer information

See Lima, OH salary details

$43K

$125.5K

$171.7K

How much do data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer in Lima, OH is $125,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $133,000.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Lima, OH?

The most popular types of Data Engineer jobs in Lima, OH are:

What are popular job titles related to Data Engineer jobs in Lima, OH?

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

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

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

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

Cities near Lima, OH with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Lima, OH as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,470 per year, or $60.3 per hour.

$118K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Crown Equipment Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 257 frontline employees who took The Breakroom Quiz

178th of 491 rated machine equipment manufacturers


Job description

Company Description:

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Job Posting External

Primary Responsibilities

  • Analyze and evaluate existing or proposed systems and develop computer applications, systems, and related procedures.  
  • Prepare program specifications, encode, test, and debug computer applications.
  • Design, code, test, debug, install, document and maintain computer applications. 
  • Participate in peer code reviews to uphold coding standards. 
  • Create APIs to integrate between existing systems and customer applications.            
  • Interface with users to extract functional needs and determine requirements. 
  • Conduct detailed systems analysis to define scope and objectives and design solutions. 
  • Create documentation per internal standards. 
  • Work with customers to develop and write system requirements.
  • Project leadership, training, and testing.


Minimum Qualifications

  • Bachelor's degree in Computer Science, Management Information Systems, or related field, along with at least 2 years of experience
    Non-degree considered if 12+ years of related experience along with a high school diploma or GED
  • Occasional travel (0-5%)
  • This role is on-site 4 days per week at the New Bremen, OH location

Preferred Qualifications

  • Strong experience designing, building, and supporting data solutions in Microsoft Fabric, including Lakehouses, Data Pipelines, Data Factory, Eventhouses, and OneLake.
  • Proficient in developing and maintaining end-to-end data pipelines for ingestion, transformation, validation, publishing, monitoring, and operational support.
  • Strong SQL expertise, including writing, optimizing, troubleshooting, and profiling queries for analytical and high-volume workloads.
  • Strong Python programming skills delivering scalable, reusable, and production-grade data engineering solutions using libraries such as Pandas, PySpark, Asyncio.
  • Solid understanding of data modeling principles and modern architecture patterns, including relational, dimensional, medallion, and lakehouse designs.
  • Experience working with Fabric Eventhouses and KQL, including log analytics, operational monitoring, alerting, troubleshooting, and performance optimization.
  • Hands-on experience monitoring and optimizing Fabric Capacity Unit (CU) consumption, workload performance, pipeline efficiency, and platform resource utilization.
  • Experience integrating data from internal and external sources using Copy Jobs, Dataflows, REST APIs, and other automated ingestion frameworks.
  • Proficient with Git-based source control and CI/CD practices, including GitHub and GitHub Actions, following DataOps and DevOps best practices.
  • Strong focus on data quality, reliability, operational ownership, analytical problem-solving, and effective communication with technical and business stakeholders.

Work Authorization:

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.


No agency calls please.

Compensation and Benefits:

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

EOE Veterans/Disabilities


What Crown Equipment Corporation employees say

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About Crown Equipment

Sourced by ZipRecruiter

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

Industry

Trucking and warehousing and storage

Company size

10,000+ Employees

Headquarters location

New Bremen, OH, US

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