2

Malware Reverse Engineer Remote Jobs in Arizona (NOW HIRING)

Remote Position Type: Contract Job Overview We are seeking an accomplished, technology-driven Lead ... Ability to reverse-engineer and refactor legacy database logic into distributed paradigms.

Data Engineer

Snowflake, AZ · Remote

$97.80K - $117.40K/yr

NDA (USA) Location: remote (LATAM & Europe) Employment: full-time (40 hours per week) Our client is ... Experience with ETL/Reverse ETL platforms (Hevo, Hightouch, Census). Knowledge of dbt or Great ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... malware analysis, threat intelligence, or similar) Some coding experience required Fluency in ...

Principal Software Engineer

Tempe, AZ · On-site +1

$131.30K - $176K/yr

This is a fully remote position based in US. First day onboarding will be onsite at the nearest hub ... reverse proxies, CDNs, application servers, databases, and caches. • Expertise in building ...

Principal Software Engineer

Tempe, AZ · On-site +1

$131.30K - $176K/yr

This is a fully remote position based in US. First day onboarding will be onsite at the nearest hub ... reverse proxies, CDNs, application servers, databases, and caches. • Expertise in building ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... engineering, DFIR, malware analysis, threat intelligence, or similar) Some coding experience ...

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... engineering, DFIR, malware analysis, threat intelligence, or similar) Some coding experience ...

Malware Reverse Engineer Remote information

What are the key skills and qualifications needed to thrive as a Malware Reverse Engineer (Remote), and why are they important?

To thrive as a Malware Reverse Engineer, you need a deep understanding of computer science, operating systems, assembly language, and malware analysis techniques, often supported by a relevant degree or certifications like GIAC Reverse Engineering Malware (GREM). Familiarity with disassemblers (e.g., IDA Pro, Ghidra), debuggers, virtualization tools, and scripting languages is essential. Attention to detail, strong problem-solving abilities, and effective written communication help you stand out in this role. These skills and qualities are crucial for accurately dissecting malicious code, developing threat intelligence, and supporting cybersecurity defenses in remote environments.

What are some common challenges faced by remote Malware Reverse Engineers when collaborating with cybersecurity teams?

Remote Malware Reverse Engineers often collaborate closely with incident response, threat intelligence, and security operations teams. A common challenge is ensuring effective communication across different time zones and securely sharing sensitive data or malware samples. Utilizing secure collaboration tools and clear documentation practices helps maintain workflow efficiency and data integrity. Building strong virtual relationships and participating in regular team briefings can also help overcome the isolation that sometimes comes with remote work, ensuring smooth coordination on urgent investigations.

What does a Malware Reverse Engineer do, especially in a remote role?

A Malware Reverse Engineer analyzes malicious software to understand how it works, how it spreads, and how it can be neutralized or removed. Working remotely, they use specialized tools to dissect malware samples, document their findings, and help develop detection or prevention measures. Their work is crucial for cybersecurity teams, as it helps protect organizations from evolving threats. Remote roles require strong self-motivation, secure work environments, and effective communication with security teams.

What is the difference between Malware Reverse Engineer Remote vs Malware Analyst?

AspectMalware Reverse Engineer RemoteMalware Analyst
Required CredentialsBachelor's in Computer Science, cybersecurity certifications (e.g., GREM, GREM+)Bachelor's in Cybersecurity, certifications like GREM, GIAC GREM
Work EnvironmentRemote, often independent or team-basedRemote or on-site, collaborative teams
Industry UsageCybersecurity firms, government agencies, tech companiesSecurity teams, incident response, threat intelligence
Search & Comparison IntentFocus on deep reverse engineering skillsFocus on threat analysis and detection

Malware Reverse Engineer Remote and Malware Analyst roles share overlapping skills like malware analysis and cybersecurity certifications. However, reverse engineers focus more on dissecting malicious code at a technical level, while analysts concentrate on identifying threats and vulnerabilities. Both roles are vital in cybersecurity, often working together to protect organizations from cyber threats.

What are the most commonly searched types of Malware Reverse Engineer jobs in Arizona? The most popular types of Malware Reverse Engineer jobs in Arizona are:
What are popular job titles related to Malware Reverse Engineer Remote jobs in Arizona? For Malware Reverse Engineer Remote jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Malware Reverse Engineer Remote jobs? Cities in Arizona with the most Malware Reverse Engineer Remote job openings:
Databricks Platform Architect

Databricks Platform Architect

Koantek

Chandler, AZ • Remote

Contractor

Posted 15 days 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