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Malware Reverse Engineer Remote Jobs in Oklahoma

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory ... Strong self-management skills with the ability to work independently in a fully remote environment.

SuperSummary

Part-Time Controller

Tulsa, OK · Remote

  • PTO

... remote, global team united by curiosity, creativity, and a shared love of learning. About the Job ... Run scenario modeling as a monthly rhythm - including reverse-engineered analyses like "what would ...

SuperSummary

Part-Time Controller

Tulsa, OK · On-site +1

  • PTO

... remote, global team united by curiosity, creativity, and a shared love of learning. About the Job ... Run scenario modeling as a monthly rhythm - including reverse-engineered analyses like "what would ...

All JobsMalware Reverse Engineer JobsMalware Reverse Engineer Remote JobsMalware Reverse Engineer Remote Jobs in Oklahoma

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 Oklahoma?

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

What are popular job titles related to Malware Reverse Engineer Remote jobs in Oklahoma?

For Malware Reverse Engineer Remote jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Malware Reverse Engineer Remote jobs in Oklahoma look for?

The top searched job categories for Malware Reverse Engineer Remote jobs in Oklahoma are:

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

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

Malware Reverse Engineer Remote jobs near you
Infographic showing various Malware Reverse Engineer Remote job openings in Oklahoma as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • On-site, Remote

$96K - $131K/yr

Full-time

Re-posted 5 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 Analytics
SmartLight 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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