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Cybersecurity Data Engineer Jobs in Cold Spring Harbor, NY

Data Engineer

New York, NY ยท Remote

$140K - $180K/yr

Reality Defender is an award-winning cybersecurity company helping enterprises and governments ... We're looking for a Data Engineer who can build and scale the infrastructure powering our data ...

Data Engineer

New York, NY ยท Remote

$140K - $180K/yr

Reality Defender is an award-winning cybersecurity company helping enterprises and governments ... We're looking for a Data Engineer who can build and scale the infrastructure powering our data ...

Data Engineer

New York, NY ยท On-site +1

$140K - $180K/yr

Reality Defender is an award-winning cybersecurity company helping enterprises and governments ... We're looking for a Data Engineer who can build and scale the infrastructure powering our data ...

Senior Data Engineer

New York, NY ยท On-site

$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 ...

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 ...

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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Showing results 1-20

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 Jul 28, 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, and why are they important?

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:
Infographic showing various Cybersecurity Data Engineer job openings in Cold Spring Harbor, NY as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $137,257 per year, or $66 per hour.
Data Engineer

Data Engineer

Reality Defender

New York, NY โ€ข Remote

$140K - $180K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Who we are.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time.

Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes.

Youtube: Reality Defender Wins RSA Most Innovative Startup

The Data Engineer Role.

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and operate the pipelines that move, process, and prepare multi-terabyte and streaming datasets โ€” including audio and video โ€” for Reality Defender's detection models, and you'll work closely with ML engineers and researchers to keep that data flowing reliably at scale. Responsibilities include:

  • Design, build, and operate large-scale data processing pipelines handling multi-terabyte and streaming datasets, including audio/video transcoding, feature extraction, and preprocessing workflows.

  • Deploy, scale, and troubleshoot containerized workloads on Kubernetes and AWS in production environments.

  • Build and maintain distributed data processing jobs using frameworks such as Spark and Ray.

  • Design and operate workflow orchestration systems (e.g., Airflow) with dependency management, retries, monitoring, and alerting for production pipelines.

  • Administer and tune enterprise databases, including performance tuning, backup/recovery, access control, and scaling strategies.

  • Partner with ML engineers and researchers to support training pipelines, model retraining triggers, feature stores, and other MLOps workflows.

Who you are.
  • Hands-on experience with Kubernetes and AWS, including deploying, scaling, and troubleshooting containerized workloads in production environments.

  • Proficiency with high-performance/distributed computing frameworks such as Spark and Ray for processing large-scale datasets.

  • Experience with workflow orchestration tools such as Airflow (or comparable systems like Dagster, Prefect, or Luigi) to schedule and manage complex data pipelines.

  • Strong programming skills in Python and SQL; experience with Golang is a plus.

  • Demonstrated track record building and operating large-scale data processing pipelines, ideally handling multi-terabyte or streaming datasets.

  • Experience working with audio or video data at scale is a strong plus (e.g., transcoding, feature extraction, or preprocessing pipelines).

  • Familiarity with common data transformation patterns applied to large datasets (ETL/ELT, batch and stream processing, data validation and quality checks).

  • Experience designing and maintaining job orchestration systems, including dependency management, retries, monitoring, and alerting for production pipelines.

  • Bonus: experience orchestrating machine learning workflows (training pipelines, model retraining triggers, feature stores, or MLOps tooling).

What we offer.

Reality Defender offers the following benefits to all our employees, regardless of location:

  • Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents

  • Dental and Vision plans with 100% premium coverage for employees and their dependents

  • Short/Long-term disability and life insurance plans with 100% premium coverage for employees

  • FSA/HSA and 401k programs

  • Equity compensation

  • 20 days of PTO per year

  • 12 weeks of Parental Leave

  • Learning and Development budget

  • Monthly wellness benefits

  • Annual company-sponsored offsite

For employees working from Reality Defenderโ€™s HQ in NYC, we offer the following benefits:

  • Daily in-office lunch through UberEats

  • Commuter benefits

  • Remote Fridays

  • Happy Hours and other local events

Compensation Range: $140K - $180K