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Job Details

Skills

Management
Data Security
Data Validation
Dimensional Modeling
Extract, Transform, Load
Cyber Security
Dashboard
Data Analysis
Data Quality
Collaboration
Computer Science
Configuration Management Database
ISTQB
Amazon Web Services
Attention To Detail
Business Intelligence
CISA
Acceptance Testing
Microsoft Power BI
Personas
Program Management
Identity Management
Information Systems
Leadership
Mapping
Access Control
Quality Assurance
Regression Analysis
SQL
Security Architecture
Regression Testing
Regulatory Compliance
SAFE
SAP GRC
Active Directory
ServiceNow
Agile
Amazon Redshift
DAX
JIRA
Reporting
Semantics
Splunk
Sprint
System On A Chip
Test Cases
Test Management
Test Plans
TestRail
Testing
Vulnerability Management
Zephyr

Management
Data Security
Data Validation
Dimensional Modeling
Extract, Transform, Load
Cyber Security
Dashboard
Data Analysis
Data Quality
Collaboration
Computer Science
Configuration Management Database
ISTQB
Amazon Web Services
Attention To Detail
Business Intelligence
CISA
Acceptance Testing
Microsoft Power BI
Personas
Program Management
Identity Management
Information Systems
Leadership
Mapping
Access Control
Quality Assurance
Regression Analysis
SQL
Security Architecture
Regression Testing
Regulatory Compliance
SAFE
SAP GRC
Active Directory
ServiceNow
Agile
Amazon Redshift
DAX
JIRA
Reporting
Semantics
Splunk
Sprint
System On A Chip
Test Cases
Test Management
Test Plans
TestRail
Testing
Vulnerability Management
Zephyr

Summary

Job Description

Cyber Quality Engineer

Location: Juno Beach, FL (Onshore)

Position Overview

The CDI program is consolidating cybersecurity data across seven Cyber Security domains – Data Protection, Vulnerability Management & SOC, Governance/Risk/Compliance (GRC), Identity & Access Management (IAM), Cyber Resiliency, Security Architecture & Engineering, and Strategy/Program Management & Performance – into a unified AWS Redshift data platform and a persona-based Power BI reporting layer.

This role is being created to own quality end to end: metric accuracy, persona-based access control, cross-domain consistency, and UAT defect closure – giving domain leaders confidence that what they see on each dashboard is correct and appropriately scoped to their role before go-live.

Key Responsibilities

Metric-Level Data Validation

Validate each of the new domain metrics against source-system data (Tanium, Tenable, Service-Now CMDB, Splunk, CrowdStrike, Proofpoint, and other integrated sources), confirming that Power BI''s calculated values match the definitions agreed in domain SME workshops.
Reconcile Gold-layer semantic view output against an independently derived sample calculation for a representative population of records per domain, before a metric is signed off for dashboard consumption.

Persona-Based Access Control (RLS) Validation

Validate row-level security rules for the Operations, Business, and Executive personas across all 7 domain dashboards and the Executive Rollup, confirming each persona sees only appropriately-scoped data.
Partner with the Architect to confirm the persona model is mapped to real Active Directory / security-group structures rather than a theoretical design, and to close out any gaps found during that mapping.

Cross-Domain Consistency & Regression Testing

Audit that metrics or dimensions shared across domain dashboards (e.g. Business Unit rollups) return consistent values regardless of which dashboard or persona view they are accessed from.
Execute full regression test passes after cross-domain navigation, filter, or drill-through changes land, to confirm no previously validated dashboard has regressed.

UAT Coordination & Defect Management

Coordinate UAT sessions per domain with the relevant domain stakeholders, and for the Executive Rollup with the Leadership office.
Triage, prioritize, and track defects to closure, with a target of zero open P1/P2 defects ahead of each domain''s formal governance sign-off.

Test Planning & Sequencing

Sequence validation work deliberately to manage the mid-program capacity peak – front-loading simpler metric-level checks earlier and reserving dedicated time primarily for RLS and cross-domain consistency testing as dashboards near completion.
Maintain test cases, RLS test matrices per persona/domain combination, and a defect log; contribute QA-derived acceptance criteria to the metric catalog published at program closeout.

Platform Transition Quality Support

Support data-quality validation during the Kyndryl-to-NextEra platform transition, particularly through the shadow/reverse-shadow support period, to confirm zero regression in data accuracy or refresh reliability during cutover.

Qualifications

Required Qualifications

Bachelor’s degree in computer science, Information Systems, or a related field.
4+ years of QA/testing experience on BI, data analytics, or cybersecurity reporting platforms.
Hands-on experience testing Power BI reports and datasets, including DAX measure validation and row-level security (RLS) testing.
Working SQL proficiency for source-to-target data validation; AWS Redshift experience is a strong plus.
Experience with Agile/SAFe QA practices – sprint-based test planning, UAT coordination, and structured defect triage.
Strong attention to detail and the organizational discipline to manage validation across multiple parallel domains and personas simultaneously without losing traceability.

Preferred Qualifications

Exposure to cybersecurity or vulnerability-management data (CVEs, CVSS scoring, CISA KEV feeds, endpoint/scanner data).
Experience with test management tooling (Jira/Xray, Zephyr, TestRail, or equivalent).
ISTQB or an equivalent QA/testing certification.
Familiarity with AWS Glue-based ETL pipelines and Medallion (Bronze/Silver/Gold) data architectures.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10179895
Position Id: 9033630
Posted 7 hours ago

Senior Data & User Acceptance Testing (UAT) Analyst (Remote - US)

Remote or Reston, Virginia

•

Today

This role is contingent upon a contract award. The Work: At ICF, we combine deep domain expertise with leading-edge technology to help our clients solve their most complex challenges. We are seeking a Senior Data & User Acceptance Testing (UAT) Analyst to join our growing team, supporting mission-driven data and analytics modernization programs that deliver measurable impact. As a Senior Data Analyst (Databricks), you will bring strong expertise in data analytics, SQL-based analysis, data vali

Full-time

USD 74,090.00 - 125,954.00 per year

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Cyber Quality Engineer

Skills

Summary

Metric-Level Data Validation

Persona-Based Access Control (RLS) Validation

Cross-Domain Consistency & Regression Testing

UAT Coordination & Defect Management

Test Planning & Sequencing

Platform Transition Quality Support

Required Qualifications

Preferred Qualifications

Dice Job Match Score™

Yeddula Reddy

Similar Jobs

Cyber Quality Engineer

Job Details

Skills

Summary

Metric-Level Data Validation

Persona-Based Access Control (RLS) Validation

Cross-Domain Consistency & Regression Testing

UAT Coordination & Defect Management

Test Planning & Sequencing

Platform Transition Quality Support

Required Qualifications

Preferred Qualifications

Dice Job Match Score™

Yeddula Reddy

Similar Jobs