2

Remote Reverse Engineering Jobs in Yonkers, NY (NOW HIRING)

Engage with customers' engineering, product management, and marketing teams to handle technical ... Eager to learn new technologies and adapt to evolving customer needs #LI-Remote Compensation The ...

Engage with customers' engineering, product management, and marketing teams to handle technical ... Eager to learn new technologies and adapt to evolving customer needs #LI-Remote Compensation The ...

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... The team is fully remote. This is an individual contributor role with no direct reports. You'll ...

Showing results 41-45

Remote Reverse Engineering information

See Yonkers, NY salary details

$85K

$141.3K

$202.1K

How much do remote reverse engineering jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote reverse engineering in Yonkers, NY is $141,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $184,500.00 per year, depending on experience, location, and employer.

What is remote reverse engineering?

Remote reverse engineering is the process of analyzing software, hardware, or systems from a remote location to understand their design, functionality, or vulnerabilities. This often involves using specialized tools to decompile code, inspect binaries, or analyze protocols without having physical access to the device or system. Remote reverse engineers may work on tasks such as malware analysis, software compatibility, or security assessments. The work typically requires strong knowledge of programming, cybersecurity, and networking, as well as familiarity with legal and ethical considerations.

What are the key skills and qualifications needed to thrive as a remote reverse engineering specialist?

To thrive as a Remote Reverse Engineering Specialist, you need strong analytical skills in software deconstruction, a solid understanding of programming languages (such as C/C++ and Assembly), and typically a degree in computer science or related experience. Proficiency with tools like IDA Pro, Ghidra, OllyDbg, and experience with debuggers and disassemblers is essential, as are relevant certifications such as CEH or OSCP. Critical thinking, problem-solving, and clear written communication are vital soft skills for documenting findings and collaborating remotely. These skills ensure accurate code analysis, effective vulnerability discovery, and secure communication when working independently or with distributed teams.

What are some common challenges faced by remote reverse engineers, and how can they be addressed?

Remote reverse engineers often face challenges such as limited access to proprietary hardware, difficulties in real-time collaboration, and ensuring secure handling of sensitive data. To address these, it's important to leverage secure remote desktop solutions, maintain clear documentation, and establish regular communication with team members. Additionally, using virtual labs and emulation tools can help overcome hardware access limitations, while participating in team debriefs ensures alignment and knowledge sharing.

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

AspectRemote Reverse EngineeringRemote Malware Analyst
Required CredentialsKnowledge of assembly, debugging, and disassembly tools; sometimes certifications like GREM or GREM+Knowledge of malware behavior, analysis tools, and sometimes certifications like GREM or GREM+
Work EnvironmentPrimarily technical, involving code analysis and debuggingFocuses on analyzing malicious code and threat detection
Industry UsageUsed in cybersecurity, software development, and security researchPrimarily in cybersecurity, incident response, and threat intelligence

Remote Reverse Engineering and Remote Malware Analyst roles share skills like understanding binary code and using analysis tools. However, reverse engineers focus on dissecting software and systems, while malware analysts specialize in identifying and mitigating malicious threats. Both roles are vital in cybersecurity and often overlap in skills and tools used.

What are popular job titles related to Remote Reverse Engineering jobs in Yonkers, NY?

For Remote Reverse Engineering jobs in Yonkers, NY, the most frequently searched job titles are:

What job categories do people searching Remote Reverse Engineering jobs in Yonkers, NY look for?

The top searched job categories for Remote Reverse Engineering jobs in Yonkers, NY are:

What cities near Yonkers, NY are hiring for Remote Reverse Engineering jobs?

Cities near Yonkers, NY with the most Remote Reverse Engineering job openings:

Infographic showing various Remote Reverse Engineering job openings in Yonkers, NY as of June 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 100% Remote job distribution, with an average salary of $141,280 per year, or $67.9 per hour.

Delivery Engineer II

Mixpanel

New York, NY • On-site, Remote

Full-time

Posted 13 days ago


Job description

About the Delivery Engineer Team

As a member of the Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers' data stack, and deliver on emerging AI integrations - delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers.

About the Role

As a Delivery Engineer II, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you'll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you'll own ensuring customers are able to build, assemble context, and integrate AI workflows with Mixpanel.

Responsibilities

  • Own onboarding and data health for our strategic and high-value clients, including ongoing enhancements to their data quality and overall tech stack integration
  • Align with pre-sales teams and consult with prospects/clients to define business goals and metrics to guide data architecture and project outcomes
  • Engage with customers' engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
  • Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
  • Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
  • Successfully execute on deliverables whilst balancing project timelines, scope creep, and unanticipated issues
  • Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
  • Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients
  • Build AI automations to help customers manage their data at scale
  • Consult with customers on integrating their agentic workflows with Mixpanel data.

We're Looking For Someone Who Is:

  • Comfortable with data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
  • Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, etc.
  • Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
  • Familiar with analytics best practices across business segments and verticals
  • Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change while managing scope and timelines
  • Has embedded AI into their workflows and is familiar with using MCP servers, building new skills, setting context, and can credibly consult with our customers about their AI/data strategy
  • Has experience in customer success, client-facing professional services, consulting, or technical project management role
  • Excellent written, analytical, and communication skills
  • Strong process and/or project delivery discipline
  • Eager to learn new technologies and adapt to evolving customer needs

#LI-Remote