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Remote Reverse Engineering Jobs in Tulsa, OK (NOW HIRING)

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

... Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims ... Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

... Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims ... Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory ...

All JobsReverse Engineering JobsRemote Reverse Engineering JobsRemote Reverse Engineering Jobs in Tulsa, OK

Remote Reverse Engineering information

See Tulsa, OK salary details

$74.9K

$124.5K

$178.1K

How much do remote reverse engineering jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote reverse engineering in Tulsa, OK is $124,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $162,600.00 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, 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 popular job titles related to Remote Reverse Engineering jobs in Tulsa, OK? For Remote Reverse Engineering jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Remote Reverse Engineering jobs in Tulsa, OK look for? The top searched job categories for Remote Reverse Engineering jobs in Tulsa, OK are:
Remote Reverse Engineering jobs near you
Infographic showing various Remote Reverse Engineering job openings in Tulsa, OK as of July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,479 per year, or $59.8 per hour.
Senior Data Engineer

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • Remote

$108K - $147K/yr

Full-time

Posted 12 days ago

Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement — you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organization’s BI and reporting tool.
Required Skills and Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.
 

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