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Remote Data Security Engineer Jobs in New York (NOW HIRING)

Hex Technologies

Cloud Security Engineer

New York, NY · On-site +1

$200K - $265K/yr

About the role We are looking for an experienced Cloud Security Engineer to join Hex's security ... data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that ...

EnerSys

Application Security Engineer (REMOTE)

Boonton, NJ · Remote

$117K - $146K/yr

Job Purpose The Application Security Engineer is responsible for strengthening the security of our ... Ability to analyze data, resources, and schedules to make decisions that affect a project on a ...

Ramp

Security Engineer, Cloud

New York, NY · On-site +1

$211K - $290K/yr

The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high ... About the Role The Security Engineering team helps make Ramp the most secure place for our ...

Odyssey

Sr. Security Engineer

New York, NY · On-site +1

$180K - $220K/yr

Evaluate security risks in AI systems and data pipelines, and leverage AI-assisted tooling to ... This role is available as fully remote (US-based) or hybrid out of our NYC office in Tribeca. The ...

Highmark Health

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Collaborate on the design and implementation of data security measures, including access controls ... Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or ...

Texture

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Data security is second nature to you, and you understand best practices around encryption and ... At least 6 years of relevant experience in data engineering * Proven track record of building and ...

Anza

Software Engineer, Security

New York, NY · Remote

$180K - $300K/yr

The Role As a Security Engineer at Anza, you will play a crucial role in safeguarding the Solana ... Proficient in English, sufficient for success in a remote and asynchronous work environment

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Remote Data Security Engineer information

How does a remote data security engineer typically collaborate with cross-functional teams to ensure data protection across different platforms?

As a Remote Data Security Engineer, you will frequently work with software developers, IT administrators, and compliance officers to implement and maintain security protocols. Collaboration often happens via virtual meetings, secure communication channels, and shared documentation tools. You'll be responsible for guiding teams on best practices, conducting security assessments, and assisting in incident response. Effective communication and a proactive approach are key, as you'll need to coordinate across time zones and ensure that security measures are consistently applied throughout the organization.

What is the difference between Remote Data Security Engineer vs Remote Network Security Engineer?

AspectRemote Data Security EngineerRemote Network Security Engineer
CertificationsCompTIA Security+, CISSP, CISACompTIA Security+, CISSP, CCNP Security
Work EnvironmentFocus on data protection, encryption, and database securityFocus on network infrastructure, firewalls, and intrusion detection
Industry UsageUsed across finance, healthcare, tech for data privacyUsed in telecom, enterprise IT, and cloud services for network security

The Remote Data Security Engineer primarily safeguards data through encryption, access controls, and database security measures. In contrast, the Remote Network Security Engineer concentrates on securing network infrastructure, monitoring traffic, and preventing intrusions. Both roles require similar certifications but focus on different security layers, making them distinct yet complementary in cybersecurity teams.

What does a remote data security engineer do?

A Remote Data Security Engineer is responsible for protecting an organization's digital data from unauthorized access, breaches, and other security threats. They design, implement, and maintain security measures such as encryption, firewalls, and intrusion detection systems, all while working remotely. This role involves monitoring systems for vulnerabilities, responding to security incidents, and ensuring compliance with data protection regulations. Collaboration with IT and other departments is common, and staying updated on the latest security trends and threats is essential.

What are the key skills and qualifications needed to thrive as a remote data security engineer, and why are they important?

To excel as a Remote Data Security Engineer, you need a strong background in cybersecurity, network architecture, encryption protocols, and a relevant degree or industry certifications like CISSP or CEH. Familiarity with security information and event management (SIEM) systems, cloud security platforms, and vulnerability assessment tools is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you identify threats and collaborate across remote teams. These competencies are crucial for safeguarding sensitive data, ensuring compliance, and maintaining robust security in distributed digital environments.
What are popular job titles related to Remote Data Security Engineer jobs in New York? For Remote Data Security Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Security Engineer jobs in New York look for? The top searched job categories for Remote Data Security Engineer jobs in New York are:
What cities in New York are hiring for Remote Data Security Engineer jobs? Cities in New York with the most Remote Data Security Engineer job openings:
Remote Data Security Engineer jobs near you

Data Engineer II - (Remote)

Fanatics Betting & Gaming

New York, NY • On-site, Remote

$125K - $150K/yr

Full-time

Posted 20 days ago

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
We're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack - Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks - helping move data reliably and securely from source to decision-ready output.
This is an entry-level role. You'll execute well-defined tasks under the direction of senior data engineers, learn our team's stack and conventions, and build a strong foundation in pipeline correctness. You're not expected to own designs independently yet - you're expected to build reliable software against a design, ask good questions, and grow quickly from feedback.
Responsibilities
  • Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions - including writing the code, unit tests, and documentation
  • Support data security and governance work, such as PII masking and access controls, following established patterns
  • Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers
  • Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work
  • Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed
  • Pair with senior engineers on data integrity issues you can't yet diagnose alone
  • Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work
  • Flag blockers early and with context rather than going quiet when stuck
  • Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
  • Conduct and participate in code and system inspections
  • Help the team define and adhere to data engineering best practices
  • Mentor more junior data engineers as you grow into the role
Experience and Skills
  • 1-3 years of professional software or data engineering experience
  • A self-learner with a strong ability to gather, evaluate, and analyze requirements
  • Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations
  • Comfort reading and writing unit tests, and working within an established codebase and conventions
  • Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow)
  • Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality
  • Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
  • Familiarity with Git-based version control and PR-based code review workflows
  • Strong communication skills - asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently
  • A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
Preferred But Not Required
  • Exposure to cloud data warehouses/lakehouses (Snowflake, Databricks, AWS) and data catalog/lineage tooling
  • Familiarity with dbt, Tableau, MongoDB, or PostgreSQL
  • Familiarity with reverse ETL tools or patterns (e.g., Segment, LaunchDarkly, Kafka, S3-based delivery)
  • Exposure to PII masking, data security, or RBAC/access governance concepts
  • Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
  • Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
  • Familiarity with responsible handling of customer/PII-sensitive data
Why Join Us
  • Join a team that's literally described as "the foundation" - everything at FBG, FES, and FMX runs on the data we ingest, govern, and deliver
  • Learn from senior and staff data engineers on a well-invested, modern data platform, with a clear growth path from DE2 into independent ownership
  • Work on high-visibility, high-trust systems: regulatory and financial reporting, PII security, and data governance that the business depends on
  • A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity
  • Collaborative culture with strong engineering practices, code review, and mentorship

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
Salary Range
$118,000-$156,000 USD
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