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Contract Data Engineering Jobs in Ohio (NOW HIRING)

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

... engineering best practices. * Develop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides. * Role contingent upon contract award.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/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 ...

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/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 ...

$100 - $125/hr

Contribute to data governance, compliance, and platform reliability by following data contracts, security standards, and engineering best practices. What you bring * 4+ years of experience in Data ...

Data Engineer

Columbus, OH · On-site

$100 - $125/hr

This is a senior, hands‑on infrastructure and pipeline engineering role. You will own the systems ... Own the ingestion contracts, handle schema drift, and ensure no data is silently lost or corrupted.

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

This is a senior, hands-on infrastructure and pipeline engineering role. You will own the systems ... Own the ingestion contracts, handle schema drift, and ensure no data is silently lost or corrupted.

Data Engineer

Columbus, OH · On-site

$100 - $125/hr

This is a senior, hands‑on infrastructure and pipeline engineering role. You will own the systems ... Own the ingestion contracts, handle schema drift, and ensure no data is silently lost or corrupted.

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

This is a senior, hands-on infrastructure and pipeline engineering role. You will own the systems ... Own the ingestion contracts, handle schema drift, and ensure no data is silently lost or corrupted.

$80 - $100/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 ...

Data Engineer/Python SQL Developer*

Dayton, OH · Remote

$46.75 - $64.50/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 ...

Medpace is a full-service clinical contract research organization (CRO) providing clinical ... various data engineering tasks and projects that are crucial for the company's success.

... Engineering Change Proposals (ECP), Contract Change Proposals (CCP), Requests for Deviation/Waiver (RFD/RFW), and Deficiency Reports (DRs). * Review program-unique specifications to include system ...

... Engineering Change Proposals (ECP), Contract Change Proposals (CCP), Requests for Deviation/Waiver (RFD/RFW), and Deficiency Reports (DRs). * Review program-unique specifications to include system ...

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Data Engineer Contract: 12 Months (potential for conversion/extension) Job Location: Cincinnati, OH (3 days' on-site required) Note: Relocation will work for this role. Candidate have to relocate at ...

Data Engineer

Cincinnati, OH · On-site

$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 ...

Showing results 21-40

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.

Senior Data Engineer

Guidehouse

Beavercreek, OH • On-site

$80K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission-critical data solutions.

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.

  • Build and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.

  • Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.

  • Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.

  • Design and implement CI/CD pipelines and DevOps best practices for data engineering workflows.

  • Collaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.

  • Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts.

  • Ensure data quality, integrity, security, and governance standards are incorporated into solution designs.

  • Monitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.

  • Mentor junior data engineers and support technical knowledge sharing across project teams.

  • Contribute to technical architecture discussions, technology evaluations, and engineering best practices.

  • Develop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.

  • Role contingent upon contract award.


What You Will Need:

  • U.S. Citizenship or Green Card is required and must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.

  • THREE (3) or more years in data engineering, software engineering, analytics engineering, or a related discipline.

  • Experience in Python, SQL, and data processing frameworks such as Spark or PySpark.

  • Experience designing, developing, and supporting production-grade data pipelines and ETL/ELT processes.

  • Experience working with relational and non-relational databases, including data modeling and query optimization.

  • Experience with cloud platforms such as AWS and/or Azure.

  • Experience with Databricks, Snowflake, or similar large-scale data processing environments.

  • Experience implementing CI/CD pipelines and version control practices using tools such as Git, GitHub, GitLab, Jenkins, or Azure DevOps.

  • Experience implementing data quality, monitoring, and operational support processes.

  • Experience working within Agile software development environments.


What Would Be Nice To Have:

  • Experience supporting federal, healthcare, public health, or other highly regulated environments.

  • Familiarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes.

  • Experience with AWS services such as S3, Redshift, Lambda, ECS, Glue, and SQS.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Ability to independently manage technical tasks and collaborate effectively across teams.

  • Excellent verbal and written communication skills.

  • Experience with Azure services such as Azure Data Factory, Synapse Analytics, Azure Functions, Cosmos DB, and Event Hub.

  • Familiarity with modern data lakehouse architectures and data governance frameworks.

  • Experience implementing Infrastructure-as-Code using Terraform, CloudFormation, or Bicep.

  • Experience with monitoring and observability tools such as CloudWatch, Splunk, Kibana, Datadog, or Elasticsearch.

  • Cloud, Databricks, Snowflake, or related technical certifications.

  • Experience supporting large-scale data modernization or migration programs.

  • Experience with machine learning data pipelines and AI-enabled solutions.

  • Previous consulting or client-facing experience.

The annual salary range for this position is $80,000.00-$133,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


What Guidehouse employees say

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