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Remote Unity Engineer Jobs in Pennsylvania (NOW HIRING)

CGT Staffing

Azure Data Engineer

Pittsburgh, PA · On-site +1

$107K - $128K/yr

... using Unity Catalog and related technologies. * Integrate enterprise platforms with Azure Data ... Ability to work within a hybrid or remote enterprise technology environment. * Availability to ...

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

The position sits within CEI's Solutions and Engineering organization, working alongside data ... Experience with Unity Catalog including governance design, access control, and data lineage

The Pennsylvania State University

$20/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Requirements, qualifications, and/or competencies: * experience programming Unity and related ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Programming skills in Unity and knowledge of Amazon Web Services are desired. The ideal candidate ...

All JobsUnity Engineer JobsRemote Unity Engineer JobsRemote Unity Engineer Jobs in Pennsylvania

Remote Unity Engineer information

See Pennsylvania salary details

$33.3K

$104K

$152.1K

How much do remote unity engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote unity engineer in Pennsylvania is $103,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,277.00 and $121,468.00 per year, depending on experience, location, and employer.

What are Remote Unity Engineers?

Remote Unity Engineers are software developers who specialize in creating interactive applications, games, and experiences using the Unity game engine, while working remotely from any location. They design, develop, and optimize 2D or 3D content, focusing on gameplay mechanics, graphics, and user interfaces. Their responsibilities often include coding in C#, troubleshooting performance issues, and collaborating with teams through remote tools. Remote Unity Engineers are employed by game studios, AR/VR companies, and other industries seeking immersive digital experiences.

How does a Remote Unity Engineer typically collaborate with team members during game development projects?

As a Remote Unity Engineer, you will frequently collaborate with designers, artists, and other developers using digital communication and project management tools. Daily stand-up meetings, code reviews, and version control platforms like Git are commonly used to keep everyone aligned and ensure smooth integration of your work into the larger project. Effective communication and proactive documentation are essential, as you’ll often resolve challenges and iterate on features asynchronously. You may also participate in sprint planning and feedback sessions to contribute your technical perspective and help shape the game’s development.

What is the difference between Remote Unity Engineer vs Remote Game Developer?

AspectRemote Unity EngineerRemote Game Developer
Required SkillsUnity, C#, 3D modeling, scriptingGame design, Unity or Unreal, C++, scripting
Work EnvironmentGame studios, tech companies, remote teamsGame studios, entertainment companies, remote teams
CertificationsUnity Certified Developer, C# programmingGame design certifications, Unity or Unreal certifications
Industry UsageDeveloping interactive applications and games using UnityCreating complete games or game prototypes, often using Unity or Unreal

Remote Unity Engineers focus on developing interactive applications and games specifically using Unity, with expertise in scripting and 3D modeling. Remote Game Developers have a broader scope, including designing, coding, and testing entire games, often using Unity or Unreal. While both roles require similar technical skills and certifications, Unity Engineers typically specialize in technical implementation, whereas Game Developers handle overall game design and development.

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

To thrive as a Remote Unity Engineer, you need strong proficiency in C# programming, experience with Unity game engine, and a solid understanding of computer graphics and game development principles. Familiarity with source control systems like Git, cloud collaboration tools, and possibly certifications in Unity or related technologies are valuable. Excellent communication, problem-solving, and self-motivation are key soft skills for collaborating effectively in a remote environment. These skills ensure the efficient creation and maintenance of high-quality interactive applications while enabling smooth teamwork across distributed teams.
What are the most commonly searched types of Unity Engineer jobs in Pennsylvania? The most popular types of Unity Engineer jobs in Pennsylvania are:
What are popular job titles related to Remote Unity Engineer jobs in Pennsylvania? For Remote Unity Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Unity Engineer jobs in Pennsylvania look for? The top searched job categories for Remote Unity Engineer jobs in Pennsylvania are:
Remote Unity Engineer jobs near you
Azure Data Engineer

Azure Data Engineer

CGT Staffing

Pittsburgh, PA • On-site, Remote

$107K - $128K/yr

Other

Posted 12 days ago

Job description

This role is Direct Hire on W2, no C2C or third party candidates

The Data/ Cloud Platform Manager is a senior technical leadership role responsible for designing, building, optimizing, and managing scalable enterprise data platforms within a cloud-based Azure ecosystem. This position plays a critical role in driving enterprise data engineering, analytics, machine learning enablement, and business intelligence initiatives through the development of modern Lakehouse architectures and high-performance data pipelines.

Key responsibilities include leading data engineering teams, architecting scalable Azure Databricks solutions, and implementing secure, high-quality enterprise data platforms that support analytics, reporting, and operational decision-making. The role combines hands-on technical expertise with leadership, governance, and strategic planning responsibilities to support enterprise-wide data initiatives.

Key Responsibilities
  • Lead, mentor, and support teams of data engineers, analysts, and technical professionals while promoting development standards and best practices.
  • Design, develop, deploy, and optimize scalable enterprise data platforms using Azure Databricks and Azure cloud technologies.
  • Build and maintain robust batch and streaming ETL/ELT data pipelines using PySpark, Scala, SQL, and Azure-native tools.
  • Architect modern Lakehouse environments utilizing Delta Lake and medallion architecture methodologies (Bronze, Silver, Gold layers).
  • Collaborate with business stakeholders, data scientists, and technical teams to gather requirements and translate them into scalable technical solutions.
  • Oversee data ingestion, transformation, integration, quality validation, governance, and storage optimization initiatives.
  • Implement data governance frameworks, security controls, RBAC access models, lineage tracking, and compliance processes using Unity Catalog and related technologies.
  • Integrate enterprise platforms with Azure Data Factory, Azure Data Lake Storage, Azure Synapse, Kafka, DevOps pipelines, and other cloud-native services.
  • Optimize Spark workloads, Databricks clusters, query performance, indexing strategies, partitioning, and cost efficiency within Azure cloud environments.
  • Support machine learning operations and model deployment initiatives utilizing MLflow and related MLOps tools.
  • Develop and maintain scalable data models, schemas, and enterprise analytics frameworks.
  • Participate in troubleshooting, production support, incident management, and continuous improvement initiatives for enterprise data environments.
  • Ensure data platform reliability, scalability, performance, and operational excellence across cloud infrastructure.
Minimum Education & Experience Requirements
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field required.
  • Minimum of 5–7 years of hands-on experience in data engineering, cloud architecture, or enterprise data platform development.
  • Minimum of 2–4 years of direct experience working with Azure Databricks and Azure cloud data technologies.
  • Prior experience leading or mentoring technical teams, including data engineers, analysts, or data scientists.
  • Strong experience developing enterprise-scale ETL/ELT pipelines and distributed data processing solutions.
  • Experience with modern cloud-based data platforms, big data technologies, and streaming architectures.
  • Strong background in SQL, Python/PySpark, Scala, and enterprise data modeling principles.
Special Requirements
  • Ability to work within a hybrid or remote enterprise technology environment.
  • Availability to support production incidents or critical deployments outside standard business hours when necessary.
  • Ability to work collaboratively across technical and non-technical business teams.
  • Participation in strategic planning, architecture reviews, and enterprise governance initiatives as required.
  • Relevant cloud and data engineering certifications are preferred.
Knowledge, Skills, and Abilities
  • Deep expertise in Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure Synapse, and Azure cloud infrastructure.
  • Advanced knowledge of Delta Lake, Lakehouse architecture, and medallion data processing frameworks.
  • Strong proficiency in Python, PySpark, SQL, Scala, and PowerShell.
  • Expertise with Apache Spark runtime optimization and distributed data processing frameworks.
  • Experience integrating real-time and batch data processing systems using Kafka, Spark Streaming, and related technologies.
  • Knowledge of relational and NoSQL database technologies and data architecture principles.
  • Familiarity with file formats such as Parquet, ORC, and Avro, including storage optimization techniques.
  • Understanding of CI/CD processes, DevOps methodologies, and orchestration tools such as Airflow and Azure DevOps.
  • Strong understanding of data governance, security, lineage, RBAC, compliance, and enterprise data management best practices.
  • Excellent analytical, troubleshooting, and problem-solving abilities.
  • Strong leadership, mentoring, organizational, and project coordination skills.
  • Excellent written and verbal communication skills with the ability to communicate technical concepts to diverse audiences.
  • Ability to manage multiple priorities in fast-paced enterprise environments.
Additional Desired Characteristics
  • Microsoft Azure Data Engineer, Azure Solutions Architect, or Databricks certifications preferred.
  • Experience supporting enterprise analytics, reporting, and machine learning initiatives.
  • Familiarity with MLflow, MLOps practices, and AI/analytics platforms.
  • Experience with large-scale enterprise data modernization initiatives.
  • Exposure to legal, healthcare, financial services, or other highly regulated industries preferred.
  • Strong understanding of enterprise cloud security, networking, and identity management concepts.
  • Experience implementing enterprise-wide data governance and data quality initiatives.
Work Environment
  • Hybrid or remote work environment with collaboration across distributed technical teams.
  • Primarily standard business hours with flexibility to support deployments, maintenance windows, or production incidents as needed.
  • Fast-paced enterprise technology environment focused on innovation, scalability, and operational excellence.
  • Significant collaboration with business stakeholders, engineering teams, analytics professionals, and executive leadership.
  • May require occasional travel for team meetings, planning sessions, or enterprise initiatives.

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