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Remote Code Review Jobs in Phoenix, AZ (NOW HIRING)

Remote Position Type: Contract Job Overview We are seeking an accomplished, technology-driven Lead ... Lead code walkthroughs, design reviews, and pair-programming sessions with the development team to ...

Review medical bills to identify appropriate billing, coding, and savings opportunities. * Analyze ... This is a fully remote position, and we'll provide all the necessary equipment! * Work Environment:

Review medical bills to identify appropriate billing, coding, and savings opportunities. * Analyze ... This is a fully remote position, and we'll provide all the necessary equipment! * Work Environment:

Agentic Software Engineer III

Scottsdale, AZ · Remote

$57.50 - $77.25/hr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/1721d3e0 -376a-4f33-8c28 ... Reviewing and validating AI-generated code for correctness, security, performance, and ...

Senior Agentic Software Engineer

Scottsdale, AZ · Remote

$122K - $161K/yr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/eb37a2b9 -e60d-4cac-8a3b ... Setting the quality standard across teams for reviewing and validating AI-generated code

Claims Reviewer

Phoenix, AZ · Remote

$25 - $29/hr

Arizona - Remote What you will be doing: * Conducts medical claims review using current claims ... Claim coding experience * Knowledge of behavioral health claims review

Claims Reviewer

Phoenix, AZ · Remote

$26.40 - $27.88/hr

... review. * Familiarity with medical claims processing and terminology. * Preferred : * Coding ... Eligible Locations The position is remote, but you can only reside in the following states: AK, AR ...

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Remote Code Review information

See Phoenix, AZ salary details

$24

$29

$32

How much do remote code review jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote code review in Phoenix, AZ is $29.60, according to ZipRecruiter salary data. Most workers in this role earn between $28.99 and $28.99 per hour, depending on experience, location, and employer.

What is the difference between Remote Code Review vs Remote Software Developer?

AspectRemote Code ReviewRemote Software Developer
Required CredentialsKnowledge of coding standards, version control, and code analysis toolsProgramming skills, relevant certifications, and development experience
Work EnvironmentPrimarily reviewing code remotely, often as part of a team or projectDesigning, coding, testing, and deploying software remotely
Employer & Industry UsageTech companies, software firms, open-source projectsTech companies, startups, enterprise software firms
Search & Comparison IntentUnderstanding roles related to code quality and review processesRoles involving software development and programming tasks

Remote Code Review focuses on evaluating and improving code written by developers, requiring knowledge of coding standards and review tools. Remote Software Developers actively create and implement software solutions, requiring programming expertise. Both roles are common in tech industries and often collaborate, but they differ in responsibilities and skill sets.

What are the main challenges faced by professionals in remote code review roles, and how can they be addressed?

One of the main challenges in remote code review roles is effective communication—conveying feedback clearly and constructively without face-to-face interaction. Additionally, understanding the context of code changes and ensuring consistency with team standards can be harder when working remotely. These challenges can be addressed by establishing clear review guidelines, utilizing collaborative tools like code review platforms, and maintaining regular virtual check-ins with the development team. Building strong documentation and participating in team discussions also help remote code reviewers stay aligned with project goals.

What is a remote code review?

A remote code review is the process of examining and evaluating someone’s code from a different location, often using online tools or platforms. This allows software developers to review code changes, suggest improvements, and detect bugs without being physically present with the author. Remote code reviews help ensure code quality, maintain consistency, and foster collaboration within distributed teams. Tools like GitHub, GitLab, and Bitbucket are commonly used to facilitate remote code reviews through features like pull requests and inline comments.

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

To thrive as a Remote Code Reviewer, you need expert knowledge of programming languages, software development best practices, and extensive experience with code review processes. Familiarity with version control systems like Git and code review tools such as GitHub, GitLab, or Bitbucket is typically required. Strong attention to detail, effective written communication, and the ability to provide constructive feedback are crucial soft skills in this role. These skills ensure code quality, foster team collaboration, and help maintain reliable and maintainable software in distributed work environments.
Infographic showing various Remote Code Review job openings in Phoenix, AZ as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $61,561 per year, or $29.6 per hour.
Databricks Platform Architect

Databricks Platform Architect

Koantek

Chandler, AZ • Remote

Contractor

Posted 16 hours ago


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