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Remote Data Security Engineer Jobs in Chester, SC

Requirement - QA Engineer (Data) Location- 100% Remote Contract W2 Rate- $30/hr on W2 we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or ...

Senior Data Engineer

Charlotte, NC ยท On-site +1

$103K - $140K/yr

About this role: Senior Data Engineer The Data, Analytics and Reporting Technology team is ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Partner with our shared service teams like Architecture, Cloud, Security, etc to design and ...

Lead Infrastructure Engineer

Charlotte, NC ยท On-site +1

$105K - $137K/yr

... security, data platforms, automation, DevOps, and application modernization. Drive long-term ... remote state securely, and automating AWS infrastructure deployments at scale. Desired ...

Ensure platform stability, performance, data accuracy, privacy, and security configurations ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

Ensure platform stability, performance, data accuracy, privacy, and security configurations ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

Senior Transmission Line Engineer - REMOTE

Charlotte, NC ยท Remote

$102K - $140K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Prepare and review technical documentation such as specifications, data sheets, RFQs, bid ...

Data Scientist

Charlotte, NC ยท On-site +1

PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Job Title Electrical Engineer Client Confidential Location Remote Type of Hire 6 months contract with possible extension Interview Process: 2 video Interviews DATA CENTER experience required ...

AVP, Software Engineering Lead

Charlotte, NC ยท On-site +1

$247K/yr

... Data & AI, Product, Architecture, Security, Risk, and Business leaders. The AVP will drive the ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Showing results 41-60

Remote Data Security Engineer information

See Chester, SC salary details

$61.9K

$153.7K

$206.8K

How much do remote data security engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data security engineer in Chester, SC is $153,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,900.00 and $159,500.00 per year, depending on experience, location, and employer.

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.

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 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 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 cities near Chester, SC are hiring for Remote Data Security Engineer jobs?

Cities near Chester, SC with the most Remote Data Security Engineer job openings:

QA Engineer (Data)

1 point system

Fort Mill, SC โ€ข Remote

$30/hr

Contractor

Re-posted 9 days ago


Job description

Requirement - QA Engineer (Data)

Location- 100% Remote

Contract W2

Rate- $30/hr on W2

we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or Spark. Some background in PySpark or Hadoop based data testing would be a big plus for us.
A background mostly on the web and mobile automation side, won't be a great right fit for this role.
If you can find someone with It would be great to see candidates with exposure to areas such as Apache Spark testing, EMR/Databricks/Hadoop-based environments, data validation, and other related Big Data testing activities.

Results-driven Senior QA Engineer with 6 to 8+ years of experience specializing in ETL testing, Big Data validation, Apache Spark testing, and Hadoop ecosystem-based quality engineering. Proven expertise in validating large-scale data pipelines across EMR, Databricks, and distributed data processing environments. Strong background in automation testing (UI, API), database testing, and data integrity validation within enterprise applications. Adept at working in Agile environments, collaborating with cross-functional teams, and ensuring high-quality data-driven systems in production. 
Required Skills -

  • 6+ years of software testing experience in quality engineering, quality assurance or a similar role.
  • Bamboo, and Github experience required
  • Cucumber-TestNG framework using JAVA, Selenium, RestAssured, Maven for UI and API Automation Testing experience preferred.
  • Nunit Framework using C#, Selenium, RestAssured, Nugut for UI and API testing experience preferred.
  • Excellent analytical skills with ability to troubleshoot problems and find root causes.
  • It would be great to see candidates with exposure to areas such as Apache Spark testing, EMR/Hadoop-based environments, data validation, and other related Big Data testing activities.
  • Good hands on experience with quality engineering and strategies.
  • Good experience with test automation, database testing, API testing and Java application testing.
  • Experience with use of AI technologies within testing is preferred.


Core Skills

  • Big Data Testing: Apache Spark, Hadoop, EMR, Databricks
  • ETL Testing & Data Validation: Data pipeline validation, transformation testing, reconciliation
  • Automation: Selenium, Cucumber, TestNG, RestAssured, NUnit
  • API Testing: REST APIs, Postman, RestAssured
  • Database Testing: SQL Server, Oracle, Data validation queries
  • Programming: Java, C#, SQL
  • CI/CD: Bamboo, GitHub
  • Frameworks: BDD (Cucumber), TDD
  • Tools: Maven, Jenkins, JIRA


Job Requirements -

  • 6+ years of software testing experience in quality engineering, quality assurance or a similar role mainly in ETL, Data and Hadoop testing.
  • Bamboo, and Github experience required.
  • Good experience with test automation, API testing and Java application testing.
  • Experience with use of AI technologies within testing is preferred.
  • Cucumber-TestNG framework using JAVA, Selenium, RestAssured, Maven for UI and API Automation Testing experience preferred.
  • Nunit Framework using C#, Selenium, RestAssured, Nugut for UI and API testing experience preferred.
  • Excellent analytical skills with ability to troubleshoot problems and find root causes.
  • HealthCare experience pertaining to Medical Claims processing is preferred.
  • Ability to think “outside of the box”.
  • Flexible in thought and creative in approach to testing.
  • Perform end-to-end ETL testing validating large-scale data pipelines across distributed systems.
  • Design and execute Apache Spark testing strategies to validate transformations, aggregations, and streaming pipelines.
  • Conduct data validation and reconciliation testing between source systems, staging layers, and target data warehouses.
  • Work with the Hadoop ecosystem (HDFS, Hive, Spark) for validating batch and real-time data processing.
  • Validate data pipelines deployed on AWS EMR and Databricks environments ensuring data accuracy and completeness.
  • Develop SQL-based validation frameworks to verify data integrity, consistency, and transformation correctness.
  • 4 Year Degree in Computer Science or Management Information Systems or equivalent
  • Perform complex SQL validation for large datasets.
  • Validate data migration and transformation logic across multiple systems.
  • Ensured data quality, completeness, and accuracy through validation rules and checks.