Remote (US)

Remote Engineer Jobs (US)

362 jobs found

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All (494) 🌍 Worldwide (118) 🇺🇸 US (362) 📍 Location-specific (14)

4d ago

Data Engineer II

Jack Henry & Associates Allen, TX 🇺🇸 Remote

Allen, TX

4d ago

Full time Analytics Automation Change Data Capture

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Job Description

The Data Engineer II role sits within the Data & Analytics organization on the Warehousing & Pipelines team. The position focuses on building and evolving enterprise data integration solutions that support operational reporting, analytics, machine learning, and broader data initiatives.

Team Collaboration

Work with the Data & Analytics team in the Warehousing & Pipelines function.
Collaborate with DBAs, Data Architects, BI Developers, Data Scientists, Software Engineers, and business stakeholders.

Core Responsibilities

Design, develop, test, deploy, and maintain batch and streaming data pipelines for payment processing systems with strict availability and performance requirements.
Build data integration solutions using SQL, C#, Python, PowerShell, and related automation technologies.
Develop and support event-driven architectures using Change Data Capture (CDC), Kafka, messaging platforms, and stream-processing technologies.
Maintain and modernize legacy data integration solutions, including SQL Server Integration Services (SSIS), and transition workloads toward code-first, version-controlled development practices.
Create and maintain CI/CD pipelines for data integration, analytics, and data platform solutions.
Implement monitoring, logging, alerting, and observability for data platforms and pipelines.
Partner with Data Architects and enterprise data governance teams to populate and maintain enterprise data warehouse, lakehouse, and analytical data platform solutions.
Tune SQL queries and database interactions to reduce impact on source systems and improve application performance.
Optimize data pipelines to improve throughput, scalability, resiliency, and cost efficiency.
Produce and maintain technical documentation, architectural diagrams, operational runbooks, and deployment procedures.
Use AI-assisted development tools responsibly to improve productivity and code quality, while independently validating, reviewing, and testing all generated code.
Participate in on-call rotations and provide after-hours support as required.
May perform other job duties as assigned.

Required Qualifications

Bachelor’s degree in Computer Science, Information Technology, or Engineering.
Minimum 3 years of experience in data engineering, software engineering, or database development.
Experience developing solutions on relational database platforms such as SQL Server and/or MySQL.
Experience developing applications or services using C# or similar object-oriented programming languages.
Experience developing and supporting ETL/ELT and data integration solutions.
Experience working with source control systems such as Git, including code reviews and pull request workflows.
Experience with containerization technologies such as Docker.

Preferred Qualifications

Experience modernizing legacy analytics platforms, OLAP solutions, or analytical workloads.
Experience with cloud services and data platforms in GCP, AWS, and/or Azure.
Experience with Infrastructure as Code (IaC) using Terraform, Pulumi, Bicep, Ansible, or similar technologies.
Experience building and supporting Kubernetes-based applications and services.
Experience building and supporting data lakes and lakehouses, including open table format solutions such as Apache Iceberg, Delta Lake, Hudi, and Parquet.
Experience operating under PCI DSS, SOC, financial services, healthcare, or other regulatory frameworks.

Technology Stack

SQL, C#, Python, PowerShell, Change Data Capture (CDC), Kafka, SQL Server Integration Services (SSIS), CI/CD, Git, Docker, MySQL, ETL/ELT

Location and Interview Requirements

Remote position based in the Allen, TX 75013 area.
Candidates must live within approximately a 70-mile radius of office locations in Allen, TX; Lenexa, KS; Springfield, MO; or Monett, MO; and Louisville, KY; Troy, MI; or Birmingham, AL.
All positions, regardless of location, may require an onsite interview or in-person onboarding requirement to verify identity.

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5d ago

Information Systems Security Engineer

Leidos Colorado Springs, CO 🇺🇸 Remote

Colorado Springs, CO

5d ago

$87k - $157k/yr Full time Cloud Platforms Cloud Security DISA STIGs

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Job Description

Leidos is seeking a Secret cleared Information Systems Security Engineer (ISSE) to support the United States Space Force. This remote role in Colorado Springs focuses on securing and operating a hybrid Azure cloud environment, with work centered on security design, hardening, risk management, compliance, and continuous monitoring aligned to DoD/NIST/RMF expectations.

You will help translate security requirements into practical controls across cloud infrastructure, while partnering with IT and engineering teams to support secure operations, auditing activities, and incident response readiness.

Key Responsibilities

Design, implement, and maintain security solutions for a hybrid Azure cloud environment, aligned to DoD, NIST, and RMF standards.
Harden systems and environments by applying security measures to network devices, servers, and cloud components to reduce threat and vulnerability exposure.
Perform risk assessments, develop and update security policies, and implement security controls to mitigate identified risks.
Ensure adherence to federal and military requirements, including FISMA, RMF, and DISA STIGs, and support audits and ATO processes.
Participate in incident response planning and execution, including detection, analysis, and resolution of security incidents affecting cloud environments.
Create and maintain security documentation such as system security plans, security impact analyses, and standard operating procedures.
Collaborate with cross-functional teams including system administrators, network engineers, and software developers to embed security into IT operations.
Implement and manage continuous monitoring strategies to identify and respond to security issues promptly.

Qualifications

Bachelor’s degree with 4-8 years of experience; additional experience may be considered in lieu of a degree.
Active DoD Secret clearance and ability to obtain TS/SCI clearance.
Minimum 4 years of cybersecurity experience, including at least 3 years focused on cloud security, preferably Azure.
Experience with the DoD Risk Management Framework (RMF) process.
CISSP, CISM, or a comparable security certification.
Azure security certifications (for example, Microsoft Certified: Azure Security Engineer Associate) are highly desirable.
Proficiency with Azure security services including Azure Security Center, Azure Sentinel, Azure AD, and Azure Information Protection.
Strong knowledge of network security, identity and access management, and encryption technologies.
Experience with scripting such as PowerShell for automation and security tasks.
Strong analytical and problem-solving abilities, comfort in a fast-paced environment, and effective communication with stakeholders.

Technologies

Azure
Azure Security Center
Azure Sentinel
Azure AD
Azure Information Protection
RMF / DoD Risk Management Framework (RMF) process
DoD
NIST
FISMA
DISA STIGs
PowerShell

Compensation and Benefits

Pay Range: $87,100.00 - $157,450.00 per year
Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

Location: Colorado Springs, CO (remote)

Posting date: June 18, 2026

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5d ago

Product Security Engineer - AI Trainer

DataAnnotation Murray, UT 🇺🇸 Remote

Murray, UT

5d ago

$50 - $100/hr Contract Ai Security Ai Training Information Security

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Job Description

Fully remote and contract-based, this role lets you help train AI models for cybersecurity by reviewing AI-generated security content, solving security-focused technical challenges, and feeding back improvements that support next-generation AI security models. You can work on your own computer with a flexible schedule, choosing which projects to take and when to complete them.

Responsibilities

Review AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, to ensure real-world accuracy and validity.
Design and solve security-focused technical problems used to train AI systems.
Produce clear technical explanations and security-relevant code.
Provide feedback that directly shapes the next generation of AI security models.

Requirements

2+ years of hands-on experience in a cybersecurity role, such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations.
Some coding experience; comfort navigating and patching a codebase is important.
Fluency in English (native or bilingual level) with strong writing skills.
Bachelor’s degree is preferred.
Cybersecurity certifications are a plus, such as OSCP, CRTO, GREM, GCFA, CEH, and similar.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select which projects to take on and when you work.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with opportunities for higher bonus rates on certain projects.
Impact: contribute to the future of AI technologies built for cybersecurity.
Payment via PayPal.

Contracting with DataAnnotation

Fully remote across the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible scheduling based on projects you choose.
Hourly compensation at $50 to $100 USD per hour, with possible higher bonus rates for specific projects.
Meaningful impact by helping shape AI security model training.

Note: Payment is made via PayPal. DataAnnotation will never ask you for any money. This contract opportunity is available only to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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5d ago

Product Security Engineer - AI Trainer

DataAnnotation Montana 🇺🇸 Remote

Montana

5d ago

$50 - $100/hr Contract Ai Security Cybersecurity Training Information Security

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Job Description

Join DataAnnotation to help train AI systems for cybersecurity. This contract role is built for flexibility: you can work fully remote from your own computer, choose projects that fit your availability, and contribute to AI models that learn from security-focused evaluation and problem-solving.

As a Product Security Engineer - AI Trainer, you will assess AI-generated cybersecurity content for real-world accuracy, create security-oriented technical challenges, and provide feedback that helps shape upcoming generations of AI security models. Paid work is available after completing a short assessment.

Responsibilities

Evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, focusing on real-world accuracy and validity.
Design and solve security-focused technical problems used to train AI systems.
Write clear technical explanations and security-relevant code.
Provide feedback that directly informs improvements in AI security model training.

Requirements

2+ years of hands-on experience in a cybersecurity role such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent work, including government or military cyber operations.
Some coding experience required; ability to navigate and patch a codebase is important.
English fluency (native or bilingual level) with strong writing skills.
A bachelor’s degree is preferred.
Cybersecurity certifications are a plus, including OSCP, CRTO, GREM, GCFA, CEH, or similar.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and work times that fit your availability.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour.
Higher bonus rates may be available for certain projects.
Impact: help shape the future of AI technologies built for cybersecurity.

Contracting details

Payment method: payment is made via PayPal.
No fees: DataAnnotation will never ask you for money.
Location eligibility: this role is available only to people in the US, Canada, UK, Ireland, Australia, and New Zealand.

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5d ago

Cloud Security Engineer - AI Trainer

DataAnnotation Newark, NJ 🇺🇸 Remote

Newark, NJ

5d ago

$50 - $100/hr Contract Ai Security Cloud Platforms Information Security

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Job Description

DataAnnotation is hiring a Cloud Security Engineer - AI Trainer (contract) to assess and help train AI chatbots focused on cybersecurity.

Responsibilities

Evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques for real-world accuracy and validity
Design and solve security-focused technical problems used to train AI systems
Produce clear technical explanations and security-relevant code
Provide feedback that directly influences the next generation of AI security models

Requirements

2+ years of hands-on experience in a cybersecurity role, such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations
Some coding experience required, with comfort navigating and patching a codebase
English fluency (native or bilingual level) with strong writing skills
Bachelor’s degree preferred
Cybersecurity certifications are a plus, such as OSCP, CRTO, GREM, GCFA, CEH, and similar

Pay and Work Details

Job type: Contract
Location: Newark, NJ (remote)
Rate: $50 to $100 USD per hour

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose which projects to take on and when you work
Competitive hourly pay: projects paid hourly at $50 to $100 USD per hour
Higher bonus rates: available for certain projects
Impact: help shape AI technologies built for cybersecurity

Contracting Notes

Fully remote across the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule and work on your own computer from home
Payment: paid hourly; payments made via PayPal
No fees: we will never ask you for money
Eligibility: this role is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand

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5d ago

Cloud Security Engineer - AI Trainer

DataAnnotation New York, NY 🇺🇸 Remote

New York, NY

5d ago

$50 - $100/hr Contract Ai Security Ai Training Data Security

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Job Description

Shape AI capabilities for cybersecurity by assessing security content and contributing technical guidance that improves how AI models evaluate real-world threats.

Responsibilities

Review AI-generated cybersecurity content for real-world accuracy and validity, including threat analysis, vulnerability assessments, and offensive security techniques
Develop and solve security-focused technical problems that are used to train AI systems
Produce clear technical explanations and security-relevant code
Provide feedback that directly influences the next generation of AI security models

Requirements

2+ years of hands-on experience in cybersecurity, such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent areas (including government or military cyber operations)
Coding experience required; ability to navigate and patch a codebase is important
English fluency (native or bilingual level) and strong writing skills
Bachelor’s degree preferred
Cybersecurity certifications are a plus, including OSCP, CRTO, GREM, GCFA, CEH, and similar

Job Details

Location: New York, NY (remote)
Job type: contract
Compensation: USD 50 to 100 per hour

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: select which projects to take on and when to work
Hourly pay: projects paid hourly at $50 to $100 USD/hour
Higher bonus rates: available for certain projects
Impact: contribute to how AI technologies for cybersecurity are built

Contracting Notes

Payment method: PayPal
No fees: DataAnnotation will never ask for money from you
Eligibility: available only to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand

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5d ago

Principal Threat Intelligence Engineer

UnitedHealth Group Washington, DC 🇺🇸 Remote

Washington, DC

5d ago

$113k - $193k/yr Full time Agentic Ai Artificial Intelligence Cybersecurity Tools

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Job Description

UnitedHealth Group is seeking a Principal Threat Intelligence Engineer to expand and integrate threat intelligence capabilities across its security ecosystem. In this role, you will help operationalize intelligence-led detection and response by ingesting, normalizing, enriching, and automating threat data workflows used by CTI, SOC, IR, and other SecOps teams.

This position is based in Washington, DC with a remote work setup and a salary range of USD 112,700 to 193,200 per year. A minimum of 3+ years of relevant experience is required.

What you’ll do

Deploy, integrate, and maintain a threat intelligence platform integrated into United Health’s security tooling ecosystem
Integrate threat intelligence into SIEM platforms (example: Splunk) to support detection use cases and alert enrichment
Use agentic AI, LLMs, and related capabilities to improve the speed and availability of contextualized threat intelligence for CTI, SOC, IR, and other SecOps teams
Build and deploy technology-supported workflows to run intelligence use cases across environments including SOC, IR, Insider Risk, Fraud, Red Team, and Threat Hunt
Develop and maintain SOAR playbooks for automated threat response and enrichment, leveraging SOAR to optimize intelligence workflows
Orchestrate workflows across security tools to reduce manual analysis and improve response time
Build and maintain integrations between threat intelligence feeds (commercial, open-source, ISACs) and internal security platforms
Integrate and operationalize TIPs such as MISP, OpenCTI ThreatConnect, Anomali, and ThreatQuotient with enterprise security tools
Create pipelines to ingest, normalize, deduplicate, and enrich Indicators of Compromise (IOCs) and threat data
Correlate intelligence with telemetry from SIEM, EDR, NDR, and cloud security tools to improve detection fidelity
Enable automated enrichment of alerts using threat intelligence data within SIEM workflows

Required qualifications

3+ years of experience in a cyber threat intelligence, cyber security engineering, incident response, or malware analysis role with a strong emphasis on tool and technology integration
Proficiency in Python (primary) for automation, API integrations, and data processing
Proficiency in one or more of: Java, JavaScript/Node.js, or Go for service development
Experience with REST APIs, JSON, and STIX/TAXII protocols
Experience with data parsing, transformation, and pipeline development
Experience with scripting in Bash and/or PowerShell
Demonstrated familiarity with Git and CI/CD pipelines
Demonstrated familiarity with OSes and platforms including Linux (Ubuntu, CentOS, RHEL, Kali), AWS, Docker, Windows Server (NT through 2012), Active Directory, and Mac OS X
Experience applying AI within a threat intelligence framework, including LLM, MCP server configuration, RAG, and related processes
Hands-on experience with TIPs such as MISP, OpenCTI, ThreatConnect, and Anomali
Experience integrating multiple intelligence feeds and formats
Solid experience with SIEM platforms: Splunk, Microsoft Sentinel, IBM QRadar, Elastic
Experience building detection rules, correlation searches, and dashboards
Proven understanding of log ingestion, normalization, and enrichment pipelines
Experience with SOAR platforms such as Cortex XSOAR, Splunk SOAR, Swimlane, and Tines
Development experience with playbooks/runbooks for automated response
Proven knowledge of structured threat data formats: STIX and TAXII

Technologies you may work with

Python, Java, JavaScript/Node.js, Go
REST APIs, JSON, STIX/TAXII
Bash, PowerShell, Git, CI/CD
Linux (Ubuntu, CentOS, RHEL, Kali), AWS, Docker
Windows Server (NT through 2012), Active Directory, Mac OS X
LLMs, MCP server configuration, RAG
MISP, OpenCTI, ThreatConnect, Anomali, Splunk, Microsoft Sentinel, IBM QRadar, Elastic
Cortex XSOAR, Splunk SOAR, Swimlane, Tines
ThreatQuotient, EDR, NDR, IOcs, TIPs, SIEM, SOAR

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution (all benefits are subject to eligibility requirements)

Preferred qualifications

Relevant certifications (examples: GCTI, GCIA, CISSP, Splunk certifications)
Experience in large-scale security operations or SOC environments
Familiarity with MITRE ATT&CK and other intelligence frameworks
Familiarity with data engineering technologies (examples: Kafka, Spark, Elasticsearch)
Experience with cloud platforms (AWS, Azure, GCP) and security integrations
Experience in threat hunting and detection engineering