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Contract Data Engineering Jobs in Ohio (NOW HIRING)

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

This is a hybrid 3-month contract-to-hire position with a client located in Columbus, OH. Pay Range ... Extensive experience with data engineering technologies such as AWS Glue, Lambda, Athena, and other ...

CBTS

Senior Data Engineer

Cincinnati, OH · On-site

$75/hr

Contract / Contract-to-Hire Duration: 6+ Months (Potential Long-Term Opportunity) We are seeking a Senior Data Engineer to support a large-scale Data Modernization initiative focused on migrating and ...

Georgia IT Inc

Sr,Azure data engineer

Columbus, OH · On-site

$51.50 - $63.75/hr

Sr Azure Data Engineer Location: Columbus, OH (Local candidates ONLY - In-Person Interview) Contract U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to ...

Highlights for Children

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Working closely with the Highlights Intelligence Team (HIT) and data engineers, the architect ... Create data architecture for data products such as Customer Merge/Match, contract preferences, and ...

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · On-site

$75 - $85/hr

Columbus, OH (4 days onsite, 1 day remote) Type: 3+ Months Contract to Hire Overview: We're looking ... Mentor teams and drive best practices in data engineering and architecture Required Qualifications ...

CourtAvenue

$125 - $140/hr

... both data engineers and senior marketing stakeholders. What you'll do - Lead the technical ... contracts between AEP and downstream channels (email, SMS, paid media, sales enablement ...

VTal Technology Solutions

Lead Data Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Lead Data Engineer Seeking a Lead Data Engineer for a long term contract role with a leading US retail company. This is an onsite position based in Cincinnati, OH. The team is seeking a Lead Data ...

SierTeK

Data Engineer/Python SQL Developer*

Dayton, OH · On-site

$48.75 - $67.25/hr

... contracts. By focusing on continual improvement, our services remain at the forefront of our ... Implement and support cloud-based data engineering capabilities leveraging AWS Lambda, AWS Glue ...

Kanak Elite Services Inc

Lead Data Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Type: Contract Required Skills: Azure Databricks PySpark Delta Lake Unity Catalog CI/CD (Data Engineering) Enterprise Data Architecture Interview Process: Face-to-Face interview required Travel ...

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All JobsContract Data Engineering JobsContract Data Engineering Jobs in Ohio

Contract Data Engineering information

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 is the salary of a freelance data engineer?

The salary of a freelance data engineer varies widely based on experience, project complexity, and location, but typically ranges from $50 to $150 per hour. Experienced professionals with skills in cloud platforms, data pipelines, and programming languages like Python or SQL tend to command higher rates. Freelancers often set their rates based on project scope and client requirements.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, consulting, or working in high-demand industries such as finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and sometimes equity or performance bonuses.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and cloud platforms remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

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.

Is contract engineering a good career?

Contract data engineering involves short-term or project-based work focused on designing, building, and maintaining data pipelines and systems. It offers flexibility and diverse experience but may lack long-term job security and benefits compared to permanent roles. Success in this career often depends on technical skills, certifications, and the ability to adapt to different environments.

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

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 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:
Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Ohio as of June 2026, with employment types broken down into 69% Full Time, 18% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sr. Director, Data Engineering

Sr. Director, Data Engineering

Park Place Technologies

Highland Heights, OH • On-site

Full-time

Posted 3 days ago

Park Place Technologies rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

91st of 206 rated it services

Job description

Sr. Director, Data Engineering
The Senior Director of Data Engineering is a key senior leader responsible for the strategy, architecture, and execution of the enterprise data engineering function. This leader will build and scale a high-performing team, drive strategy and design of the data engineering framework for reporting needs, facilitates strategy around the data warehouse, partners with other IT leaders to provide availability of data for AI/ML initiatives, assists with business intelligence, and core operational systems for seamless reporting. Reporting to senior technology leadership, this role serves as a strategic partner to IT, Analytics, and business stakeholders to ensure data is reliable, governed [in partnership with master data management], and accessible at scale.
This is a high-impact opportunity for a technically grounded, people-first leader who thrives in a fast-paced environment and is energized by building scalable systems during a period of significant growth, including M&A integration and cloud transformation.
Responsibilities:
  • Leadership & Strategy
    • Define and drive the enterprise data engineering roadmap, aligned to business and technology goals
    • Build, lead, and mentor a multi-disciplinary team of data engineers (10-15) and product owner(s) (1-2)
    • Partner with the CIO, Analytics, AI, and business leadership to prioritize and deliver data capabilities
    • Establish engineering standards, best practices, and an operational excellence framework across the data organization
    • Champion a culture of data quality, engineering rigor, and continuous improvement
  • Platform & Architecture
    • Architect and oversee scalable data pipelines, data lakes, warehouses, and real-time streaming infrastructure
    • Lead cloud-native data platform strategy and adoption across Azure, AWS, or GCP environments
    • Own the selection, implementation, and lifecycle management of data engineering tools and platforms
    • Ensure data platform reliability, performance, and cost efficiency at scale
    • Partner with Platform Development Architects and leadership on integration patterns across key enterprise systems, including ERP, ServiceNow, and supply chain platforms
  • Data Governance & Quality
    • Own and evolve the enterprise data governance framework, including data lineage, cataloging, and access controls
    • Define and enforce data quality standards, measurement, and remediation processes
    • Partner with Security and Legal to ensure compliance with data privacy regulations and policies
    • In partnership with the Director of Development and AI, drive adoption of clean, governed, AI-ready data as a core organizational asset.
  • Delivery & Operations
    • Manage team delivery across multiple concurrent programs, including integration workstreams from M&A activity
    • Lead data engineering support for AI/ML platform enablement
    • Oversee vendor relationships, contracts, and budget for data infrastructure and tooling
    • Establish SLAs, incident management, and monitoring for data platform operations

Basic Qualifications:
  • 12+ years of progressive experience in data engineering, data architecture, or a related technical discipline
  • 5+ years of people leadership experience, including managing and developing senior engineers and managers; Communication is a critical facet for this role with an ability to manage up, to the side or down.
  • Proven track record of architecting and delivering enterprise-scale data platforms in production
  • Deep expertise in modern data stack tooling (e.g., Azure SQL, Azure Fabric, Kafka, Snowflake, Databricks, or equivalents)
  • Strong cloud data platform experience on Azure, AWS, or GCP
  • Demonstrated experience in data governance programs and data quality frameworks
  • Ability to translate complex business requirements into pragmatic technical strategy and roadmaps
  • Strong executive communication skills; comfortable presenting to C-suite and board-level audiences
  • Experience operating in dynamic, growth-stage environments, including M&A integration preferred
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's preferred

Preferred Qualifications:
  • Experience in IT services, managed services, or enterprise technology industries
  • Familiarity with ERP, ServiceNow, or supply chain data ecosystems
  • Experience leading data strategy and integration through M&A events
  • Exposure to data mesh, data product, or federated governance models
  • Relevant certifications in cloud data platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate)
  • A strategic mindset paired with a bias for action and hands-on delivery
  • Passion for building reliable, scalable, and well-governed data systems
  • A collaborative and inclusive leadership style with the ability to influence across levels
  • Intellectual curiosity and a continuous improvement mindset
  • High standards for data quality and a commitment to engineering excellence

Travel:
  • 15%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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