ZipRecruiter

Log In

1

Synthetic Data Jobs in Ohio (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsSynthetic Data JobsSynthetic Data Jobs in Ohio

Synthetic Data information

What is synthetic data and how is it used?

Synthetic data refers to artificially generated information that mimics real-world data but does not contain any actual personal or sensitive details. It is commonly used to train machine learning models, test software, and protect privacy when sharing datasets. By using synthetic data, organizations can avoid data privacy concerns and still gain valuable insights or test algorithms effectively. This approach is especially valuable in industries like healthcare and finance where real data may be restricted. Synthetic data can be generated using various statistical techniques, simulations, or machine learning models.

What are the key skills and qualifications needed to thrive as a synthetic data engineer, and why are they important?

To thrive as a Synthetic Data Engineer, you need a strong background in computer science, statistics, and data modeling, usually with a degree in a related field. Experience with programming languages like Python or R, familiarity with machine learning frameworks, and knowledge of data privacy tools are essential. Strong analytical thinking, attention to detail, and effective communication help in designing robust data solutions and collaborating with stakeholders. These skills ensure the creation of high-quality synthetic datasets that support research, model training, and compliance with data privacy regulations.

What are the main challenges faced by professionals working with synthetic data in a production environment?

One of the primary challenges in a synthetic data role is ensuring that the generated datasets accurately reflect real-world scenarios while maintaining privacy and compliance standards. Professionals often need to balance data utility with the risk of introducing bias or unrealistic patterns. Collaboration with data scientists, engineers, and domain experts is essential to validate results and integrate synthetic data into machine learning pipelines. Additionally, staying updated on evolving tools and best practices is crucial for maintaining data quality and relevance.

What is the difference between Synthetic Data vs Data Analyst?

AspectSynthetic DataData Analyst
CredentialsNone required, but knowledge of data generation tools helpfulBachelor's degree in data science, statistics, or related field
Work EnvironmentData labs, software development teams, AI/ML projectsBusiness environments, analytics teams, reporting platforms
Industry UsageAI training, testing, privacy complianceData interpretation, reporting, decision support

While Synthetic Data involves creating artificial datasets for testing and training AI models, Data Analysts focus on interpreting real-world data to generate insights. Both roles require data literacy, but Synthetic Data specialists focus on data generation techniques, whereas Data Analysts analyze existing data to inform business decisions.

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

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

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

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

What cities in Ohio are hiring for Synthetic Data jobs?

Cities in Ohio with the most Synthetic Data job openings:

Synthetic Data jobs near you
Infographic showing various Synthetic Data job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Full Stack Software Engineer, Senior

Booz Allen Hamilton, Inc.

Dayton, OH • On-site

$86K - $198K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

Job description

Full Stack Software Engineer, Senior
The Opportunity
Lead the modernization of mission-critical GEOINT systems by architecting and delivering cloud-native, data-driven applications and microservices. In this senior role, you will shape technical direction, oversee the integration of modern pipelines, and develop secure, scalable solutions that directly impact analysts performing high-consequence missions.
You'll serve as a technical leader who advises on architecture, mentors engineers, and drives engineering excellence across complex modernization efforts.
Join us. The world can't wait.
What You'll Do:
  • Lead architecture, design, and implementation of full-stack capabilities across cloud-native microservices
  • Own major system components and guide the technical roadmap for modernization and cloud adoption
  • Develop distributed, secure, scalable back-end services using Python, Java/Spring Boot, or similar technologies
  • Architect and govern cloud deployments (AWS), including Kubernetes clusters, IaC, security controls, and reliability patterns
  • Guide teams in DevSecOps execution, including GitLab CI/CD pipelines, automated testing, secure coding standards, and supply-chain integrity
  • Integrate large-scale data, search, or analytic pipelines, such as Kafka, NiFi, Elasticsearch
  • Partner with product owners, mission users, and cross-functional engineering teams to define requirements and technical strategy
  • Mentor and support mid-level and junior engineers; perform code reviews and drive engineering best practices
  • Evaluate emerging technologies such as LLMs/AI, synthetic data, augmented development tools for mission applicability

Join us. The world can't wait.
You Have:
  • 6+ years of experience with full-stack software engineering
  • Experience leading technical delivery or architecture for cloud-native or distributed systems
  • Experience with Python, C++, Java, Spring Boot, or enterprise service stacks
  • Experience with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLite
  • Experience architecting and deploying solutions using AWS or Azure cloud frameworks
  • Experience with containerization and orchestration such as Docker and Kubernetes
  • Experience with complex API ecosystems such as FastAPT, REST, gRPC, or GraphQL
  • Experience building secure, high-performance applications in classified or highly restricted environments
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience working with automated testing tools to perform testing and maintenance
  • Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach
  • Experience with distributed search or data platforms such as Elasticsearch, OpenSearch, Solr, Kafka, or NiFi
  • Experience modernizing legacy applications into modern frameworks
  • Experience with IaC tools such as Terraform or CloudFormation
  • Experience integrating AI/ML or LLM-based development workflows
  • Experience supporting GEOINT or Intelligence Community analytic missions
  • Master's degree in Computer Science, Software Engineering or a related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

View All Booz Allen Hamilton Jobs

Apply