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Remote Reverse Engineering Jobs in North Carolina

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Working closely with senior data engineering leadership, data architecture, analytics engineering ... Familiarity with reverse ETL concepts * Passing experience with workflow orchestration tools (e.g ...

Senior Director, Supply Chain

Raleigh, NC · On-site +1

$176K - $200K/yr

... Engineering, Finance, and Operations to ensure on-time delivery and cost efficiency across our ... This role is open to Raleigh, Chicago, or remote candidates. This is a senior leadership role with ...

Remote Reverse Engineering information

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, and why are they important?

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 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 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 are the most commonly searched types of Reverse Engineering jobs in North Carolina? The most popular types of Reverse Engineering jobs in North Carolina are:
What are popular job titles related to Remote Reverse Engineering jobs in North Carolina? For Remote Reverse Engineering jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Reverse Engineering jobs in North Carolina look for? The top searched job categories for Remote Reverse Engineering jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Reverse Engineering jobs? Cities in North Carolina with the most Remote Reverse Engineering job openings:
Infographic showing various Remote Reverse Engineering job openings in North Carolina as of June 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% Remote job distribution.

Data Engineer

Sennos

Durham, NC • On-site, Remote

$110K - $132K/yr

Full-time

Posted 13 days ago


Job description

Position Summary

The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos\' modern data platform. This role focuses on building and maintaining data pipelines, implementing transformations, and contributing to a reliable Snowflake-based warehouse that powers analytics, reporting, machine learning, and product capabilities.


Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands-on technical execution with growing exposure to data modeling, quality enforcement, and scalable platform development.


Responsibilities

  • Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership
  • Develop and maintain transformations using dbt or similar tools within a Snowflake-based warehouse
  • Create and optimize datasets and views to support analytics, reporting, machine learning, and product feature development
  • Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistency
  • Implement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse data
  • Support the enforcement of data contracts between source systems and the warehouse
  • Assist in reverse ETL workflows to operationalize warehouse data into downstream systems
  • Contribute to ML data preparation and feature pipeline workflows
  • Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams
  • Contribute to documentation, governance practices, and continuous improvement of data engineering standards


Required Qualifications

Education:

  • Bachelor\'s degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience)

Experience:

  • 2–4 years of experience in data engineering or a related data-focused role
  • Experience working with ETL/ELT processes and structured warehouse data
  • Exposure to cloud-based data platforms (AWS preferred)

Skills:

  • Strong SQL skills (joins, window functions, and query optimization fundamentals)
  • Proficiency in Python for data processing, scripting, or automation
  • Familiarity with version control systems (e.g., Git)
  • Strong attention to detail and commitment to data accuracy
  • Ability to troubleshoot and debug data workflows effectively
  • Strong written and verbal communication skills
  • Ability to collaborate across technical and non-technical teams


Preferred Qualifications

  • Experience working with Snowflake or similar cloud data warehouses
  • Exposure to dbt or similar transformation frameworks
  • Introductory experience with dimensional modeling concepts
  • Experience implementing data quality tests or validation frameworks
  • Exposure to data contracts or schema management practices
  • Familiarity with reverse ETL concepts
  • Passing experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar)
  • Familiarity with CI/CD practices for data workflows
  • Experience using AI-assisted tools to support debugging, pipeline development, or data engineering workflows
  • Exposure to BI tools (e.g., Power BI, Tableau, Looker)


Team Working Style

  • Collaborative and supportive, with strong mentorship from senior data engineering leadership
  • Focused on building durable foundations while moving quickly to meet evolving needs
  • Values curiosity, precision, and continuous skill development


Physical Requirements and Work Environment

  • Ability to sit for extended periods while working at a computer
  • Office setting with remote/hybrid flexibility
  • Minimal travel required (occasional team meetings or company events)


This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.


Our company is currently active in 16 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions.


Equal Opportunity Statement

Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Please Note
Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.


Recruitment Agency Notice:

We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.