Description
Dragonfli Group is a cybersecurity and IT consulting firm providing services to federal, state, and municipal government agencies as well as Fortune 100 enterprises. Headquartered in Washington, DC, Dragonfli supports clients in securing mission-critical systems across on-site, hybrid, and fully remote environments.
We are a small, agile firm where every team member owns their work and has direct access to senior leadership and experienced cybersecurity engineers. You will not be a number here β you will grow, contribute, and make a visible impact from day one.
We are seeking a Junior Identity Security Metrics Consultant & Databricks Analyst to drive identity security initiatives within a large-scale enterprise environment, with a focus on generating meaningful, actionable metrics across existing identity platforms. The role supports an established identity security team at a large federal agency, contributing to data extraction, reporting, and the development of metrics that matter across the identity program. The consultant will leverage AI/ML capabilities to detect fraudulent activity, improve authentication processes, and enhance data quality at enterprise scale. This individual will serve as a hands-on contributor embedded within the client team, with escalation support and technical backing provided by Dragonfli's senior engineering team. Candidates with 0β4 years of experience are encouraged to apply.
This is a multi-year contract position involving a large US federal agency. Candidates with previous federal contracting experience are preferred. U.S. Citizenship or Permanent Residency required. If hired, all work related to this role must be performed within the continental U.S.
Responsibilities
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- Drive identity security initiatives by generating metrics-that-matter within existing enterprise identity platforms
- Extract, transform, and analyze identity and security data using the Databricks platform
- Develop and deliver reports and dashboards from Databricks to support program visibility and decision-making
- Apply AI/ML techniques to detect fraudulent activity and support authentication of user identities at enterprise scale
- Contribute to data quality improvement efforts across identity and security data sets
- Support technical implementations related to identity tools including Okta and Ping
- Prepare and deliver executive briefings that communicate complex identity security data in a clear and compelling narrative format
- Manage stakeholder relationships across multiple functional groups, translating technical findings into business-relevant insights
- Collaborate with cross-functional teams to align identity metrics with broader security program goals
- Document processes, findings, and reporting outputs to maintain program continuity and institutional knowledge
- Support continuous improvement of identity security reporting frameworks and measurement methodologies
Requirements
- 1 or more years of experience in an Identity Security Metrics, IAM Analytics, or Databricks Analyst role
- 1 or more years of hands-on experience supporting technical implementations related to identity tools such as Okta, Ping, or equivalent platforms
- Demonstrated experience using Databricks for data extraction, analysis, and report generation
- Experience applying AI/ML techniques in a large-scale enterprise context for fraud detection, identity authentication, or data quality improvement
- Proven ability to communicate and collaborate across multiple functional groups and organizational levels
- Experience preparing and delivering executive briefings and data-driven storytelling to senior stakeholders
- U.S. Citizenship or Permanent Residency required
- All work must be performed within the continental United States
Benefits
- Insurance β Comprehensive health, dental, and vision coverage
- Paid Time Off (PTO) and 11 Federal Holidays
- 401(k) with employer match
