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Remote Unity Engineer Jobs in Phoenix, AZ (NOW HIRING)

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

Remote Position Type: Contract Job Overview We are seeking an accomplished, technology-driven Lead ... Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ...

Koantek

Databricks Platform Architect

Chandler, AZ · Remote

Remote Position Type: Contract Job Overview We are seeking an accomplished, technology-driven Lead ... Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration ...

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All JobsRemote Unity Engineer JobsRemote Unity Engineer Jobs in Phoenix, AZ

Remote Unity Engineer information

See Phoenix, AZ salary details

$37.7K

$115K

$190.1K

How much do remote unity engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote unity engineer in Phoenix, AZ is $115,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $150,400.00 per year, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Remote Unity Engineer jobs in Phoenix, AZ? For Remote Unity Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Unity Engineer jobs in Phoenix, AZ look for? The top searched job categories for Remote Unity Engineer jobs in Phoenix, AZ are:
Remote Unity Engineer jobs near you
Infographic showing various Remote Unity Engineer job openings in Phoenix, AZ as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,043 per year, or $55.3 per hour.
Databricks Platform Architect

Databricks Platform Architect

Koantek

Chandler, AZ • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description
Job Title: Lead Data Platform Architect / Data bricks Migration Lead
Location: Remote
Position Type: Contract
Job Overview
We are seeking an accomplished, technology-driven Lead Data Platform Architect / Migration Specialist to spearhead the modernization of our core enterprise financial and tax allocation engines. In this role, you will lead the architectural design, definition of migration strategies, and hands-on implementation to transition large-scale legacy relational database systems (SQL Server/T-SQL) into a modern, cloud-native Databricks Lakehouse platform.
The ideal candidate will have extensive experience in high-throughput distributed systems, Databricks compute optimization, performance tuning, and complex pipeline orchestration.
Key Responsibilities
  • Architecture & Strategy: Validate, refine, and own the target architecture on Databricks. Define robust migration strategies and production-ready reference patterns to convert 150+ complex stored procedures into PySpark and Structured/Declarative Pipelines (SDP).
  • Pipeline Engineering: Design distributed processing frameworks, control flows, and configuration-driven parameter handling for both full and incremental recalculation modes.
  • Performance Optimization: Address performance deltas between small and large workloads. Architect and implement acceleration techniques such as caching, partition pruning, cluster sizing, and offline/pre-calculation strategies to maintain sub-30-second user-facing reporting SLAs.
  • Orchestration & Observability: Design and deploy enterprise-level pipeline orchestration using tools like Apache Airflow or Databricks Workflows. Integrate robust logging, error handling, and observability patterns into existing enterprise monitoring frameworks.
  • Governance & Security: Implement data governance models, data lineage, and schema evolution utilizing tools like Unity Catalog.
  • AI-Assisted Delivery & Code Quality: Establish best practices for AI-assisted code generation (e.g., using Claude or advanced LLMs), providing code-review patterns and refactoring frameworks to ensure maintainable and performant output.
  • Team Enablement: Lead code walkthroughs, design reviews, and pair-programming sessions with the development team to accelerate knowledge transfer and technical excellence.
Required Technical Skills & Qualifications
  • Core Big Data Platform: Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark.
  • Legacy Database Expertise: Strong background in relational databases, with advanced proficiency in SQL Server, T-SQL, and Stored Procedures. Ability to reverse-engineer and refactor legacy database logic into distributed paradigms.
  • Orchestration Tools: Hands-on experience with Apache Airflow or similar modern workflow orchestrators.
  • Performance Tuning: Proven track record in cost optimization (FinOps), cluster tuning, autoscaling configurations, and handling skewed data profiles.
  • CI/CD & DevOps: Experience with Infrastructure as Code (Terraform), data build tool (dbt), testing frameworks (PyTest), and automated Git-based workflows.
  • Experience Level: 10+ years of experience in Data Engineering/Architecture, with at least 3+ years specifically leading large-scale cloud data migrations.
    Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Preferred Certifications
  • Databricks Certified Data Engineer Associate / Professional
  • Databricks Certified Solutions Architect
  • AWS Certified Database Specialist or equivalent Cloud Certifications

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