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Contract Data Engineering Jobs in Ohio (NOW HIRING)

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$109K - $132K/yr

... in Data Engineering; * Background in working with AI tools that support areas such as data ... contract research organization (CRO) providing phase l-lV clinical development services to the ...

Data Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

... in Data Engineering; * Knowledge of developing dimensional data models and awareness of the ... Medpace Overview Medpace is a full-service clinical contract research organization (CRO) providing ...

$125 - $150/hr

... analytics engineering, data engineering, or a related role. * Strong SQL skills and solid ... Experience designing data contracts and schemas between upstream producers and downstream consumers.

$125 - $150/hr

... Contracts) im Sinne eines Data-Centric-Ansatzes * Arbeiten mit modernen Query- und Data ... Verständnis für Data Architecture und Data Engineering Konzepte (Data-Centric Architecture und ...

Junior Data Architect Columbus, OH (Hybrid) Contract-to-hire - $28/hr Our utilities client is ... Collaborate with data engineers, product owners, and business stakeholders on project needs

Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

These solutions are powered by engineering for business advantage, transforming mission-critical ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

These solutions are powered by engineering for business advantage, transforming mission-critical ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Data Science Manager

Bath, OH · On-site

$100 - $125/hr

The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force ... Support DMM modernization efforts by providing integrated tools for contract data normalization ...

Showing results 41-60

Contract Data Engineering information

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What are the key skills and qualifications needed to thrive as a contract data engineer?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

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 are popular job titles related to Contract Data Engineering jobs in Ohio?

For Contract Data Engineering jobs in Ohio, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Contract Data Engineering job openings in Ohio as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 60% In-person, and 40% Hybrid job distribution.

Cloud Data Storage Architect

Apogee Engineering, LLC

Dayton, OH • On-site

$61.50 - $78.25/hr

Full-time

Posted 22 days ago


Job description

Overview
Apogee Engineering has a new exciting position available for a Cloud Data Storage SME that will support the designs and documents current and future data storage architectures, data flows, and migration plans in support of NASIC's transition to secure, cloud-based storage solutions.
****Contingent Upon Contract Award****
Responsibilities
  • Working with the NASIC CDO to develop sustainable, hybrid "on-prem, off-prem" cloud-native storage solutions able to accommodate a wide array of data formats and file types.
  • Document current-state storage architectures and data flows, including dependencies and constraints.
  • Assist with developing data standards and governance that can be applied during data migration and transformation efforts.
  • Support the design of future-state cloud storage architectures aligned with NASIC Enterprise Architecture.
  • Develop high-level migration plans for transitioning legacy storage to cloud-based environments.
  • Coordinate with mission stakeholders to ensure secure and operationally effective storage solutions.
  • Identify storage-related risks and recommend mitigations.
  • Contribute to the monthly Cloud Storage Migration Posture Report describing data flows, transition status, and recommendations.

Qualifications
Minimum Experience:
Citizenship: Must be a US citizen
Clearance: Ability to obtain and maintain a TS/SCI security clearance.
Certifications: CCSP Certified Cloud Sec Prof, Azure/AWS Solutions Architect, Sec+ or equivalent certifications.
Education / Years of Experience:
  • 8+ experience with minimum of three (3) years of experience in systems engineering, data engineering, or storage architecture.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field; OR- six (6) additional years of work experience may be substituted for a Bachelor's degree; -OR- four (4) additional years of work experience plus an Associate's degree may be substituted for a Bachelor's degree.
  • Experience designing or supporting storage solutions (on-premises or cloud) for complex systems.
  • Understanding of data security, encryption, and access control principles.
  • Ability to generate clear architectural diagrams and technical documentation.

Preferred Qualifications:
  • Familiar with a variety of data formats and file types.
  • Experience with cloud-native storage (e.g., object storage, data lakes) in DoD/IC environments.
  • Familiarity with data migration planning and execution for large datasets.
  • Experience integrating storage solutions with analytics and IA/AI/ML workflows.
  • Familiarity with data cataloging practices and technologies

Additional Information
Location: Wright Patterson AFB Dayton, OH
On-site/Hybrid/Remote: On-site
Travel: Occasional