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Cybersecurity Data Engineer Jobs in Springfield, MA

Lancesoft

Data Engineer - Cyber Security

Springfield, MA · On-site

$75 - $85/hr

G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). * 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep handson ...

Deloitte

Cyber Data Protection Manager

Hartford, CT · Hybrid

$112K - $151K/yr

The Cybersecurity Data Protection Manager is responsible for leading and managing a diverse team of Cyber Security Engineers and Analysts in developing, implementing, and providing day-to-day support ...

Tier4 Group

Cybersecurity Analyst

Springfield, MA

Experience collaborating closely with data engineering, platform, and architecture teams to ensure ... Preferred Qualifications Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics ...

CYNET SYSTEMS

Database Consultant

Springfield, MA · On-site

$79 - $84/hr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). * 8+ years of experience working in Cybersecurity, risk ...

Deloitte

Cyber Data Protection/PKI Manager

Hartford, CT

$112K - $151K/yr

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science, Information Technology or related field * 7+ years of professional experience within data protection and ...

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All JobsCybersecurity Data Engineer JobsCybersecurity Data Engineer Jobs in Springfield, MA

Cybersecurity Data Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do cybersecurity data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for cybersecurity data engineer in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 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 are popular job titles related to Cybersecurity Data Engineer jobs in Springfield, MA? For Cybersecurity Data Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Springfield, MA look for? The top searched job categories for Cybersecurity Data Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Cybersecurity Data Engineer jobs? Cities near Springfield, MA with the most Cybersecurity Data Engineer job openings:
Cybersecurity Data Engineer jobs near you
Data Engineer - Cyber Security

Data Engineer - Cyber Security

Lancesoft

Springfield, MA • On-site

$75 - $85/hr

Full-time

Posted 20 days ago

Job description


Key responsibilities include:
  • Partner with Cybersecurity leaders, risk stakeholders, and nonCyber teams to define and deliver datadriven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.G., NIST CSF).
  • Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights.
  • Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust.
  • Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and frontline Cyber teams.
  • Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability.
  • Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support.
  • Leverage AIassisted development and analytics workflows (e.G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight generation, and experimentationwhile operating within established security and data governance controls.
  • Translate complex technical findings into clear, consumable narratives for executive and nontechnical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes.
  • Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and futurestate analytics capabilities.
Minimum Qualifications:
  • Bachelor's degree in a relevant field (e.G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience).
  • 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep handson experience in data engineering, analytics, or data architecture.
  • Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns.
  • Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies.
  • Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.G., vulnerabilities, threats, controls, risk).
  • Strong coding proficiency (e.G., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases.
  • Experience collaborating closely with data engineering, platform, and architecture teams to ensure longterm operability and support.
Preferred Qualifications:
  • Cybersecurity certifications (e.G., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience).
  • Demonstrated experience applying advanced analytics techniques (e.G., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems.
  • Experience incorporating or experimenting with AIenabled analytics or development tools (e.G., Claude, AI code assistants, agentbased analytics) in a secure enterprise environment.
  • Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices.
  • Strong proficiency with data visualization and BI tools (e.G., Tableau, Power BI) to deliver executiveready, actionable insights.
  • Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE ATT&CK.
  • Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms.
  • Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities.
  • Track record of leading or delivering endtoend data and analytics initiatives that materially improved Cyber risk management, visibility, or decisionmaking.
  • Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and nontechnical audiences.
Education:
  • Bachelor's degreeKey responsibilities include:
  • Partner with Cybersecurity leaders, risk stakeholders, and nonCyber teams to define and deliver datadriven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.G., NIST CSF).
  • Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights.
  • Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust.
  • Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and frontline Cyber teams.
  • Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability.
  • Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support.
  • Leverage AIassisted development and analytics workflows (e.G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight generation, and experimentationwhile operating within established security and data governance controls.
  • Translate complex technical findings into clear, consumable narratives for executive and nontechnical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes.
  • Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and futurestate analytics capabilities.
  • Minimum Qualifications:
  • Bachelor's degree in a relevant field (e.G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience).
  • 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep handson experience in data engineering, analytics, or data architecture.
  • Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns.
  • Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies.
  • Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.G., vulnerabilities, threats, controls, risk).
  • Strong coding proficiency (e.G., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases.
  • Experience collaborating closely with data engineering, platform, and architecture teams to ensure longterm operability and support.
  • Preferred Qualifications:
  • Cybersecurity certifications (e.G., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience).
  • Demonstrated experience applying advanced analytics techniques (e.G., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems.
  • Experience incorporating or experimenting with AIenabled analytics or development tools (e.G., Claude, AI code assistants, agentbased analytics) in a secure enterprise environment.
  • Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices.
  • Strong proficiency with data visualization and BI tools (e.G., Tableau, Power BI) to deliver executiveready, actionable insights.
  • Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE ATT&CK.
  • Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms.
  • Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities.
  • Track record of leading or delivering endtoend data and analytics initiatives that materially improved Cyber risk management, visibility, or decisionmaking.
  • Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and nontechnical audiences.
  • Education:
  • Bachelor's degree

Meet Your Recruiter
Aditi Singh
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About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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