Job Description
Job DescriptionJob Overview: Pay Range: $80.82hr - $84.82hr
Responsibilities:
- Partner with cybersecurity leaders, risk stakeholders, and cross-functional teams to define and deliver data-driven cybersecurity use cases aligned with enterprise risk frameworks such as NIST CSF.
- Design and implement scalable data pipelines, models, and architectures to support cybersecurity analytics, AI, reporting, and risk insights.
- Ingest, transform, normalize, and model security and IT datasets while ensuring data quality, lineage, and governance.
- Develop and deliver analytics products including dashboards, metrics, and operational reports for leadership and cybersecurity teams.
- Prototype and productionize integrations across cybersecurity tools and enterprise data platforms.
- Apply advanced analytics and automation techniques to convert raw cybersecurity data into actionable insights and risk indicators.
- Leverage AI-assisted tools and workflows to accelerate analytics, development, and experimentation within governance standards.
- Translate complex technical findings into clear, business-aligned insights for executive and non-technical stakeholders.
- Act as a technical advisor to shape cybersecurity data strategy, architecture, and future analytics capabilities.
Required Skills And Experience:
- Bachelor’s degree in Computer Science, Data Engineering, Information Security, or related field.
- 8+ years of experience in cybersecurity, risk, or technology domains with strong data engineering or data architecture expertise.
- Experience designing and building data pipelines, data models, and analytics architectures (batch and/or streaming).
- Hands-on experience with modern data platforms such as Databricks, Redshift, Snowflake, or similar.
- Strong knowledge of cybersecurity concepts including vulnerabilities, threats, controls, and risk management.
- Proficiency in programming languages such as Python and SQL.
- Experience working with data engineering and platform teams to ensure scalability and maintainability.
- Strong analytical and problem-solving skills with the ability to assess data feasibility and gaps.
Preferred Qualifications:
- Certifications such as CISSP, CISM, or equivalent cybersecurity credentials.
- Experience applying advanced analytics techniques such as predictive modeling, trend analysis, and risk indicators.
- Familiarity with AI-driven analytics or development tools in secure enterprise environments.
- Experience with BI and visualization tools such as Tableau or Power BI.
- Knowledge of cybersecurity frameworks such as NIST CSF and MITRE ATT&CK.
- Experience working with enterprise data ecosystems including data lakes and data warehouses.
- Proven ability to lead end-to-end data and analytics initiatives in cybersecurity environments.
- Strong consultative and leadership skills with experience influencing stakeholders.
Soft Skills:
- Excellent communication skills with the ability to translate technical insights into business context.
- Strong collaboration and stakeholder management abilities.
- Strategic thinking with a focus on risk-based decision making.
- Self-driven with the ability to work independently and lead initiatives.
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.