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Malware Reverse Engineer Remote Jobs in New York

Security Research Internship

New York, NY ยท Remote

$3.0K - $8.0K/mo

We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud ...

AI Safety Expert - Red Team

New York, NY ยท Remote

$17 - $25/hr

Contract Compensation: $17-$25/hour Location: Remote Role Responsibilities * Red team ... Background in Cybersecurity : penetration testing, exploit development, reverse engineering.

AI Safety Expert - Red Team

New York, NY ยท Remote

$17 - $25/hr

Contract Compensation: $17-$25/hour Location: Remote Role Responsibilities * Red team ... Background in Cybersecurity : penetration testing, exploit development, reverse engineering.

AI Safety Expert - Red Team

New York, NY ยท Remote

$17 - $25/hr

Contract Compensation: $17-$25/hour Location: Remote Role Responsibilities * Red team ... Background in Cybersecurity : penetration testing, exploit development, reverse engineering.

AI Safety Expert - Red Team

New York, NY ยท Remote

$29 - $45/hr

Remote Role Responsibilities * Red team conversational AI models and agents by performing ... Cybersecurity skills: penetration testing, exploit development, reverse engineering. * Socio ...

This is a remote position based in the United States, with occasional travel for conferences, team ... Deep understanding of phishing, malware, online fraud, social engineering, and threat actor TTPs

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... Experience managing distributed/remote teams across multiple time zones. * Strong stakeholder ...

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 21-35

Malware Reverse Engineer Remote information

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 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 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 New York?

The most popular types of Malware Reverse Engineer jobs in New York are:

What cities in New York are hiring for Malware Reverse Engineer Remote jobs?

Cities in New York with the most Malware Reverse Engineer Remote job openings:

Data Engineer II - (Remote)

Fanatics Betting & Gaming

New York, NY โ€ข On-site, Remote

$125K - $150K/yr

Full-time

Posted 27 days ago


Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
We're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack - Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks - helping move data reliably and securely from source to decision-ready output.
This is an entry-level role. You'll execute well-defined tasks under the direction of senior data engineers, learn our team's stack and conventions, and build a strong foundation in pipeline correctness. You're not expected to own designs independently yet - you're expected to build reliable software against a design, ask good questions, and grow quickly from feedback.
Responsibilities
  • Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions - including writing the code, unit tests, and documentation
  • Support data security and governance work, such as PII masking and access controls, following established patterns
  • Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers
  • Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work
  • Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed
  • Pair with senior engineers on data integrity issues you can't yet diagnose alone
  • Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work
  • Flag blockers early and with context rather than going quiet when stuck
  • Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
  • Conduct and participate in code and system inspections
  • Help the team define and adhere to data engineering best practices
  • Mentor more junior data engineers as you grow into the role
Experience and Skills
  • 1-3 years of professional software or data engineering experience
  • A self-learner with a strong ability to gather, evaluate, and analyze requirements
  • Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations
  • Comfort reading and writing unit tests, and working within an established codebase and conventions
  • Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow)
  • Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality
  • Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
  • Familiarity with Git-based version control and PR-based code review workflows
  • Strong communication skills - asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently
  • A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
Preferred But Not Required
  • Exposure to cloud data warehouses/lakehouses (Snowflake, Databricks, AWS) and data catalog/lineage tooling
  • Familiarity with dbt, Tableau, MongoDB, or PostgreSQL
  • Familiarity with reverse ETL tools or patterns (e.g., Segment, LaunchDarkly, Kafka, S3-based delivery)
  • Exposure to PII masking, data security, or RBAC/access governance concepts
  • Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
  • Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
  • Familiarity with responsible handling of customer/PII-sensitive data
Why Join Us
  • Join a team that's literally described as "the foundation" - everything at FBG, FES, and FMX runs on the data we ingest, govern, and deliver
  • Learn from senior and staff data engineers on a well-invested, modern data platform, with a clear growth path from DE2 into independent ownership
  • Work on high-visibility, high-trust systems: regulatory and financial reporting, PII security, and data governance that the business depends on
  • A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity
  • Collaborative culture with strong engineering practices, code review, and mentorship

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
Salary Range
$118,000-$156,000 USD
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