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Associate Data Engineering Jobs in Ohio (NOW HIRING)

Data Architect

Akron, OH ยท On-site

$85K - $167K/yr

We develop leaders and empower our associates to use their skills and talents to positively impact ... Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions ...

Data Architect

Akron, OH ยท On-site

$61 - $78.50/hr

We develop leaders and empower our associates to use their skills and talents to positively impact ... Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions ...

Data Architect

Dayton, OH ยท On-site

$85K - $167K/yr

We develop leaders and empower our associates to use their skills and talents to positively impact ... Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions ...

Data Architect

Akron, OH ยท On-site

$85K - $167K/yr

We develop leaders and empower our associates to use their skills and talents to positively impact ... Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions ...

Data Architect

Columbus, OH ยท On-site

$61.50 - $79.25/hr

We develop leaders and empower our associates to use their skills and talents to positively impact ... Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions ...

Data Architect

Columbus, OH ยท On-site

$85K - $167K/yr

We develop leaders and empower our associates to use their skills and talents to positively impact ... Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions ...

Data Architect

Dayton, OH ยท On-site

$62 - $79.75/hr

We develop leaders and empower our associates to use their skills and talents to positively impact ... Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions ...

Cloud Data Storage Architect

Dayton, OH ยท On-site

$61.50 - $78.25/hr

Overview Apogee Engineering has a new exciting position available for a Cloud Data Storage SME that ... an Associate's degree may be substituted for a Bachelor's degree. * Experience designing or ...

Cloud Data Storage Architect

Dayton, OH ยท Hybrid

$61.50 - $78.25/hr

Overview Apogee Engineering has a new exciting position available for a Cloud Data Storage SME that ... an Associate's degree may be substituted for a Bachelor's degree. * Experience designing or ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Showing results 21-40

Associate Data Engineering information

What is an associate data engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What are some typical projects an associate data engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

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, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

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

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Ohio?

The most popular types of Data Engineering jobs in Ohio are:

What job categories do people searching Associate Data Engineering jobs in Ohio look for?

The top searched job categories for Associate Data Engineering jobs in Ohio are:

What cities in Ohio are hiring for Associate Data Engineering jobs?

Cities in Ohio with the most Associate Data Engineering job openings:

Infographic showing various Associate Data Engineering job openings in Ohio as of September 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution.

Data Architect

Akron, OH โ€ข On-site

$85K - $167K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Are you seeking purpose, challenge, and talented colleagues? We develop leaders and empower our associates to use their skills and talents to positively impact the world through service - to our coworkers, clients, and communities. We subscribe to the mission of "empowering our people to impact communities by bringing clients' visions to life," so if this speaks to you, let's connect!
At CESO, a Data Architect is responsible for designing, implementing, and maintaining the company's enterprise data architecture. This position develops scalable, secure, and governed data solutions that support reporting, analytics, operational excellence, and AI initiatives. The Data Architect translates business requirements into technical data solutions, establishes architecture standards, and ensures enterprise data is reliable, accessible, and positioned to support future growth.
Primary Responsibilities
  • Develop, implement, and maintain enterprise data architecture standards, frameworks, design patterns, and best practices to ensure consistency, scalability, security, and maintainability across the company's data platforms and solutions.
  • Develop and maintain logical, physical, dimensional, and semantic data models. Design enterprise database architectures, backend data structures, and scalable schema designs that support business applications, integrations, analytics, and AI initiatives.
  • Design and oversee enterprise data integration solutions, including APIs, ELT/ETL processes, cloud platforms, and reporting environments, ensuring scalable, secure, and reliable data movement
  • Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies.
  • Work with business stakeholders to understand data requirements and translate them into technical designs.
  • Assist in establishing and maintaining enterprise data governance and compliance practices, including data quality, data ownership, stewardship, classification, and retention standards.
  • Provide architectural guidance for databases optimization, indexing strategies, partitioning, and performance tuning to support enterprise-scale workloads
  • Review data solutions for alignment with architecture standards, security requirements, and business objectives while maintaining documentation, data catalogs and lineage information.
  • Design enterprise data platform architectures that support disaster recovery, backup, business continuity, and high availability requirements.
  • Support the development of AI-ready data platforms that enable advanced analytics, machine learning, automation, and future AI initiatives.
  • Provide analytical and problem-solving expertise to evaluate data-related opportunities, and decisions and communication them to relevant parties within the organization.
  • Collaborate effectively with technical and non-technical stakeholders to gather requirements, align priorities, and deliver enterprise data solutions.
  • Perform other duties as assigned.

Position Requirements
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or equivalent experience is required.
    • Master's degree is preferred.
  • Minimum of 5 years of experience in data architecture, data engineering, database administration, analytics engineering, enterprise data architecture or related disciplines is required.
  • Experience documenting and communicating technical architecture decisions and recommendations is required.
  • Experience supporting cloud modernization, digital transformation, or enterprise data platform initiatives is preferred.
  • Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, or related certifications, are preferred.
  • Relevant certifications such as Certified Data Management Professional, Microsoft data certifications, or similar, are preferred.
  • Experience working with Microsoft Fabric, SQL Server, Azure SQL, data warehouses, data lakes, Data Factory or lakehouse architectures is required.
  • Proficiency in SQL and working with relational and analytical data structures is required.
  • Strong understanding of data architecture principles, data modeling, database design, and integration patterns is required.
  • Knowledge of DAMA-DMBOK principles, data governance frameworks, and enterprise data management best practices is required.
  • Understanding of security, access controls, privacy requirements, and compliance considerations related to enterprise data is required.
  • Experience designing data models for operational reporting, business intelligence, and KPI Frameworks and analytics solutions is preferred.
  • Experience supporting AI, machine learning, Copilot, or advanced analytics initiatives is preferred.

Benefits and Perks
  • Flexible and Hybrid Work Schedule
  • Paid Time Off - Credited to You 100% Upfront
  • 401K with a Company Match
  • Rewards and Recognition Program
  • Training and Development to Foster Professional Growth
  • Paid Holidays
  • Medical / Dental / Vision Coverage
  • Welcome Box
  • Casual Dress Code
  • Reimbursement for Professional Licenses
  • Paid Time Off for Community Team Service Events
  • Voluntary or Supplemental Short-Term / Long-Term Disability
  • Employee Assistance Program
  • Company Paid Bonding and Recovery
  • Employee Events such as Lunches and Outings to Foster a Positive Work Environment

$85,897 - $167,023 a year
CESO Compensation Transparency:
The pay band shown reflects the minimum and maximum base salary for this position at CESO. Actual pay is determined by several factors, including location, experience, education, skills, and internal equity. Our pay structures are benchmarked against industry and market data to stay competitive. Each offer is based on a full review of a candidate's background, qualifications, and fit for the role.
Below are the typical new hire pay ranges for this position based on location:
โ€ข Akron, OH: $85,897 - $108,803
โ€ข Columbus, OH: $90,669 - $114,848
โ€ข Dayton, OH: $90,669 - $114,848
CESO is a principle-centered organization that aligns with strong service values, integrity, and authenticity. We develop and inspire through training and coaching on the job. At CESO, we believe that work should be more rewarding than just a paycheck. In addition to a comprehensive benefit and compensation program, we create memories and friendships through our employee and service events.
CESO, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This organization participates in E-Verify and is a drug-free workplace. Criminal background checks and drug/alcohol checks are required.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.