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Cybersecurity Data Engineer Jobs in Cold Spring Harbor, NY

Hack The Box

Senior Data Engineer

New York, NY

$116K - $157K/yr

Super excited you dropped by Let's redefine cyber security expertise standards and connect business ... The core mission of the Senior Data Engineer: You will own and evolve our data pipelines on GCP ...

Deloitte

Cyber - SecOps - Consultant

New York, NY · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Deloitte

Cyber - SecOps - Consultant

Stamford, CT · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Deloitte

Cyber - SecOps - Consultant

Jericho, NY · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Jane Street

Cybersecurity Engineer

New York, NY · On-site

About the Position We're looking to add a full-time, passionate Cybersecurity Engineer to our New York office to help protect our company's people, data, and infrastructure from the wilds of the ...

Jane Street

Cybersecurity Engineer

New York, NY · On-site

About the Position We're looking to add a full-time, passionate Cybersecurity Engineer to our New York office to help protect our company's people, data, and infrastructure from the wilds of the ...

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All JobsCybersecurity Data Engineer JobsCybersecurity Data Engineer Jobs in Cold Spring Harbor, NY

Cybersecurity Data Engineer information

See Cold Spring Harbor, NY salary details

$47.1K

$137.3K

$187.8K

How much do cybersecurity data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for cybersecurity data engineer in Cold Spring Harbor, NY is $137,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $145,500.00 per year, depending on experience, location, and employer.

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Engineer?

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

What is the difference between Cybersecurity Data Engineer vs Cybersecurity Analyst?

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.

What cities near Cold Spring Harbor, NY are hiring for Cybersecurity Data Engineer jobs?

Cities near Cold Spring Harbor, NY with the most Cybersecurity Data Engineer job openings:

Cybersecurity Data Engineer jobs near you
Infographic showing various Cybersecurity Data Engineer job openings in Cold Spring Harbor, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $137,257 per year, or $66 per hour.

Staff / Principal Data Engineer

AppGate Cybersecurity, Inc.

New York, NY • On-site

$180 - $270/hr

Full-time

Re-posted 6 days ago

Job description

About the Role
We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners.
  • Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection.
  • Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team.
  • Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust.

Key Responsibilities
  • Own the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability.
  • Build low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above.
  • Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time.
  • Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of.
  • Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval.
  • Own deployment, CI/CD and operational reliability of the platform on Kubernetes.
  • Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection.

Required Qualifications
  • Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes.
  • Deep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems.
  • Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes.
  • Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end.
  • A track record of owning data infrastructure end-to-end with limited supervision.

Preferred Qualifications
  • Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval.
  • A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware.
  • Familiarity with transaction data and transaction fraud signals.

Compensation
  • Base salary range: $180 - $270
  • Bonus / commission: 15%

Travel
  • Minimal travel expected. This is an on-site role based in New York City, with 3-4 days per week in the office.

AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. 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, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

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