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Unity Engineer Manager Jobs in Ohio (NOW HIRING)

Meaden & Moore

Project Manager

Cleveland, OH · On-site

$100K - $130K/yr

Unity Partners is a private equity firm based in Dallas, Texas that invests in founder- and family ... Proficiency with project management tools such as Microsoft Project, Azure DevOps, Jira, Smartsheet ...

MMI

Sr. Voice Engineer

Mason, OH

Title: Sr. Voice Engineer Term: 6 Months C2H Location: Mason, OH Position type: Long term contract ... Manager, Unified Contact Center, Unity Unified Messaging, Gateways, Jabber Presence, and Softphone ...

MMI

Sr. Voice Engineer

Mason, OH · On-site

Company Description Title: Sr. Voice Engineer Term: 6 Months C2H Location: Mason, OH Position type ... Manager, Unified Contact Center, Unity Unified Messaging, Gateways, Jabber Presence, and Softphone ...

Apidel Technologies

Senior Data Engineer

Blue Ash, OH · On-site

$97K - $132K/yr

... management of the data catalog for reference Top skills needed ... Azure Data Lake (Gen 2) Azure Databricks SQL Unity Catalog Alation Power BI Terraform GitHub ...

Kleinfelder Inc

Mechanical Engineer

Perrysburg, OH · On-site

... and project management teams. * Mentor, direct work, and supervise junior team members ... unity. We are proud to offer the following: Benefits: Kleinfelder, and its' subsidiaries and ...

Kleinfelder Inc

Mechanical Engineer

Perrysburg, OH · On-site

... and project management teams. * Mentor, direct work, and supervise junior team members ... unity. We are proud to offer the following: Benefits: Kleinfelder, and its' subsidiaries and ...

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Unity Engineer Manager information

What is a Unity engineer manager?

A Unity Engineer Manager is a leadership role responsible for overseeing a team of Unity developers who design, build, and maintain interactive applications or games using the Unity engine. They manage project timelines, facilitate communication between engineers and other departments, and ensure technical quality and best practices. In addition to technical expertise with Unity and C#, they also provide mentorship, conduct code reviews, and help set strategic direction for projects. Their work helps ensure that projects are delivered on time and meet the expected standards of performance and user experience.

What are the key skills and qualifications needed to thrive as a Unity engineer manager?

To thrive as a Unity Engineer Manager, you need a deep understanding of Unity development, C# programming, and experience leading engineering teams, typically supported by a computer science degree or similar qualification. Familiarity with version control systems (like Git), Agile project management tools, and performance profiling/debugging tools is essential. Strong leadership, communication, and problem-solving abilities set exceptional managers apart in this role. These skills and qualities are crucial for delivering high-quality interactive products, ensuring project efficiency, and fostering a productive, collaborative team environment.

How does a Unity engineer manager balance hands-on technical work with team leadership responsibilities?

A Unity Engineer Manager typically divides their time between technical tasks, such as code reviews or architecture decisions, and leadership duties like mentoring team members, coordinating projects, and facilitating collaboration with designers and product managers. While they may still contribute to coding and technical problem-solving, their primary focus shifts to ensuring the team's productivity, alignment with project goals, and professional growth. Effective delegation and strong communication skills are essential to successfully manage both aspects of the role.

What is the difference between Unity Engineer Manager vs Unity Developer?

AspectUnity Engineer ManagerUnity Developer
Primary RoleOversees Unity development teams, manages projects, and sets technical directionDevelops and implements Unity-based applications or games
Required SkillsLeadership, project management, Unity expertise, coding skillsStrong Unity and C# programming, creative design skills
Work EnvironmentTeam management, collaboration with designers and artistsHands-on coding, design, and development tasks
Common UsageUsed in larger teams and companies with multiple projectsUsed by individual developers or small teams

The main difference is that a Unity Engineer Manager leads and manages Unity development teams, focusing on project oversight and team coordination, while a Unity Developer primarily focuses on coding and creating Unity applications or games. Both roles require strong Unity skills, but the manager also needs leadership and project management experience.

What are the most commonly searched types of Unity Engineer jobs in Ohio?

The most popular types of Unity Engineer jobs in Ohio are:

What are popular job titles related to Unity Engineer Manager jobs in Ohio?

For Unity Engineer Manager jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Unity Engineer Manager jobs in Ohio look for?

The top searched job categories for Unity Engineer Manager jobs in Ohio are:

What cities in Ohio are hiring for Unity Engineer Manager jobs?

Cities in Ohio with the most Unity Engineer Manager job openings:

Unity Engineer Manager jobs near you
Infographic showing various Unity Engineer Manager job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

MLOps Engineer (Databricks/AWS)

Inabia Solutions and Consulting, Inc.

Columbus, OH • On-site

Contractor

Posted 29 days ago

Job description

Overview
Inabia is seeking an MLOps Engineer (Databricks/AWS) to design, develop, and maintain end-to-end machine learning operations pipelines on Databricks running on AWS. This role demands deep hands-on expertise with Databricks Machine Learning, MLflow, and a broad suite of AWS services to build scalable, production-grade ML systems. The ideal candidate will partner closely with Data Scientists, Data Engineers, and Platform Engineering teams to productionize models and ensure robust, governed, and cost-efficient deployments.
Locations: Columbus, OH - Dallas, TX - Atlanta, GA (Onsite only)
Responsibilities
  • Design, develop, and maintain end-to-end MLOps pipelines on Databricks running on AWS.
  • Build and automate machine learning workflows covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
  • Deploy and manage ML models using MLflow Model Registry and Databricks Model Serving.
  • Develop and maintain CI/CD pipelines for ML solutions across development, staging, and production environments.
  • Collaborate with Data Scientists to productionize machine learning models and ensure reliable, repeatable deployments.
  • Monitor model health, prediction quality, data drift, and system performance, and implement automated retraining strategies where required.
  • Optimize Databricks workloads for performance, scalability, and cost efficiency.
  • Implement Infrastructure as Code using Terraform to provision and manage Databricks and AWS resources.
  • Ensure platform security, governance, and compliance using Unity Catalog and AWS IAM.
  • Troubleshoot production issues, perform root cause analysis, and continuously improve platform reliability.
  • Document MLOps processes, deployment standards, and operational best practices.

Key Qualifications
  • 10+ years of relevant experience in MLOps or a closely related data/ML engineering discipline.
  • Strong hands-on experience with Databricks Machine Learning.
  • Proficiency in Python, PySpark, and SQL for developing and operationalizing machine learning solutions.
  • Hands-on experience with MLflow for experiment tracking, model registry, model versioning, and lifecycle management.
  • Experience deploying and managing machine learning models using Databricks Model Serving and batch inference pipelines.
  • Strong understanding of the end-to-end ML lifecycle, including feature engineering, training, validation, deployment, monitoring, and retraining.
  • Experience building scalable ML pipelines using Databricks Workflows and Delta Lake.
  • Hands-on experience with AWS services including S3, IAM, EC2, Lambda, ECR, ECS/EKS, CloudWatch, and Secrets Manager.
  • Experience implementing CI/CD pipelines for Databricks and ML workloads using Git, Bitbucket, Jenkins, and Databricks Asset Bundles (DAB).
  • Experience with infrastructure automation using Terraform.
  • Strong understanding of Apache Spark architecture, optimization, and distributed data processing.
  • Experience working with Unity Catalog for governance, security, and access management.
  • Knowledge of model monitoring, data drift detection, and automated retraining strategies.
  • Understanding of MLOps best practices including reproducibility, versioning, testing, and governance.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with multi-environment Databricks deployments spanning development, staging, and production.
  • Familiarity with cost optimization strategies for large-scale Databricks and AWS workloads.
  • Prior experience documenting MLOps operational standards for cross-functional teams.

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