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Associate Data Engineer Jobs in Lima, OH (NOW HIRING)

Monitor key performance indicators (KPIs), analyze process data, and report on performance trends ... Associate Manufacturing Engineer Qualifications: * Strong knowledge of machining processes, CNC ...

Facility Manager Data Center Operations

Lima, OH · On-site

$161K/yr

Associate's degree, trade school certification, or other certified training in a related technical ... We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and ...

Federal or enterprise data sources * APIs and microservices * Enterprise authentication & security ... Associate level or higher Solutions Architect certification in AWS or Azure * Strong understanding ...

Requirements * Minimum of an Associate Degree in Computer Science, Information Technology, or Programming. * Superior knowledge of using SQL to build reports, retrieve and update data, and ...

... IT developers to vice presidents of finance; from HR Business Partners to export specialists ... Data analytics, training, and associate relations. This position will have a balance of ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for associate data engineer in Lima, OH is $18.12, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.28 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
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 Associate Data Engineer jobs in Lima, OH? For Associate Data Engineer jobs in Lima, OH, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Lima, OH look for? The top searched job categories for Associate Data Engineer jobs in Lima, OH are:
What cities near Lima, OH are hiring for Associate Data Engineer jobs? Cities near Lima, OH with the most Associate Data Engineer job openings:
Sr Data Solutions Architect

Sr Data Solutions Architect

Crown Equipment Corporation

New Bremen, OH • On-site

$69.75 - $93.50/hr

Full-time

Posted 2 days ago


Crown Equipment Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 255 frontline employees who took The Breakroom Quiz

194th of 486 rated machine equipment manufacturers


Job description

Job Summary:
Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. They are seeking a Sr Data Solutions Architect to design and implement data solutions that support advanced analytics and business intelligence while ensuring data governance and security.
Responsibilities:
• Design data models and structures that support efficient reporting, dashboards, and analytics use cases.
• Create semantic layers and data marts optimized for business intelligence consumption.
• Architect solutions that enable self-service analytics while maintaining governance and security.
• Design infrastructure to support advanced analytics, machine learning, and AI initiatives.
• Implement metadata management and data cataloging solutions to improve data discoverability.
• Design and architect end-to-end data solutions including data ingestion, storage, processing, integration, and consumption layers.
• Develop comprehensive data architecture blueprints and technical roadmaps aligned with business strategy and analytics requirements.
• Create reference architectures for data platforms supporting analytics, reporting, and operational use cases.
• Design solutions that ensure data quality, security, privacy, compliance, and governance across enterprise.
• Architect data integration solutions across SAP, IFS, BAAN, Quipware and other enterprise applications to create unified data assets.
• Design and implement data extraction, transformation, and loading (ETL/ELT) processes from multiple ERP sources.
• Develop master data management strategies to ensure data consistency across disparate systems.
• Create integration patterns for real-time and batch data synchronization between source systems and data platforms.
• Ensure seamless data flow across manufacturing, supply chain, finance, sales, and customer service domains.
• Address data quality, reconciliation, and harmonization challenges across heterogeneous systems.
• Define and implement data governance frameworks including data lineage, metadata management, and data quality rules.
• Ensure solutions comply with regulatory requirements and industry standards (GDPR, SOX, etc.).
• Design security architecture including role-based access control, data masking, and audit logging.
• Establish data retention, archival, and lifecycle management policies.
Qualifications:
Required:
• Bachelor’s degree in Engineering, Science, Information Systems, Finance or related field with at least 10 years related experience in delivering analytics solution in a manufacturing/services industry
• Non-degree considered if 12+ years of related experience along with a high school diploma or GED
• Occasional travel (0-5%)
Preferred:
• 8+ years of experience in data architecture, data engineering, or related roles with increasing responsibility.
• 5+ years of hands-on experience designing and implementing enterprise data solutions.
• Extensive experience with ERP systems, particularly SAP (SAP ECC, S/4HANA) and/or IFS.
• Proven track record architecting cloud-based data platforms, preferably on Microsoft Azure.
• Experience in manufacturing, supply chain, or industrial environments
• Demonstrate success delivering large-scale data integration and migration projects.
• Experience with additional cloud platforms (AWS, Google Cloud Platform).
• Certifications such as Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, or similar.
• Knowledge of SAP BW/4HANA, SAP Data Services, or SAP Data Intelligence.
• Experience with IoT data platforms and manufacturing operational technology (OT) systems.
• Understanding of Industry 4.0, IIoT, and smart manufacturing concepts.
• Must live within a reasonable commute of the New Bremen, OH location.
Company:
Crown is one of the world’s largest material handling companies. Founded in 1945, the company is headquartered in New Bremen, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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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