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Data Modernization Jobs in Ohio (NOW HIRING)

Guidehouse

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts. * Ensure data quality, integrity, security, and governance standards are incorporated ...

J.P. Morgan

Data Domain Architect - Associate

Columbus, OH

$61.50 - $79.25/hr

Advance data modernization by contributing to metadata, data dictionaries, and lineage documentation and exploring responsible artificial intelligence and advanced analytics use cases that improve ...

Citizens

Martech Platform Data Lead

Columbus, OH · Hybrid

$140K - $183K/yr

Support platform data modernization across marketing automation, customer decisioning, CRM, and customer communications tools. * Partner with Risk, Legal, Compliance, and data governance teams to ...

Guidehouse

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts. * Ensure data quality, integrity, security, and governance standards are incorporated ...

Guidehouse

Analytics Modernization Lead

Beavercreek, OH · On-site

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an Analytics Modernization Lead to lead the modernization ...

Prolink

Finance Data Manager (2026-3264)

Cincinnati, OH · On-site

Experience leading future-state reporting and data modernization initiatives. Candidates with additional and relevant experience, education, licensing, or certification beyond the role's requirements ...

Deloitte

Sr Databricks Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

Cincinnati, OH

$109K - $131K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Guidehouse

Associate Epidemiologist

Beavercreek, OH · On-site

$53K - $88K/yr

Guidehouse is seeking an Associate Epidemiologist to support public health analytics, surveillance, research, and data modernization initiatives as part of our Technology AI/Data capability. This ...

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All JobsData Modernization JobsData Modernization Jobs in Ohio

Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Data Modernization jobs in Ohio?

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

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

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

What cities in Ohio are hiring for Data Modernization jobs?

Cities in Ohio with the most Data Modernization job openings:

Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Engineer

Guidehouse

Beavercreek, OH • On-site

$80K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 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.

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