More jobs:
Cybersecurity/Data Engineer
Job in
Springfield, Hampden County, Massachusetts, 01119, USA
Listed on 2026-07-23
Listing for:
Computer Merchant, Ltd., The
Full Time
position Listed on 2026-07-23
Job specializations:
-
IT/Tech
Cybersecurity, Data Security, Data Engineering, Data Analyst
Job Description & How to Apply Below
JOB TITLE:
Data Engineer
JOB LOCATION:
Springfield, MA/ NYC Hybrid
WAGE RANGE*: $78 - 84/ hour
JOB NUMBER:
REQUIRED EXPERIENCE:
- 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.
- CISM
- CISSP
- 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, agent based 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 executive ready, 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 Telecommunication & 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 decision making.
- Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and nontechnical audiences.
- Partner with Cybersecurity leaders, risk stakeholders, and non Cyber teams to define and deliver data driven 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 product ionize 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 AI assisted development and analytics workflows (e.g., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight generation, and experimentation-while operating within established security and data governance controls.
- Translate complex technical findings…
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