Pillar Lead: Data and Analytics Engineer (R-00208)

True Zero Technologies · full-time · posted 19 Aug

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The actual job

Pillar Lead: Data and Analytics Engineer (R-00208)

True Zero Technologies

Seniority
Lead
Top skills
SQL · AWS · Azure
Engagement
Full-time
Posted
5 days ago

What the posting asks for

  • 5 years of experience
  • Data modeling for Zero Trust
  • Analytics for capability maturity
  • SQL
  • Data visualization
Fine, I'm applying →
NOT for me!!

What made it a no?

Employer text

The posting, in its own words

True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that those outcomes begin and end with our people, and that is what we have built a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross revenue) and “Mid-Atlantic Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In addition, True Zero earned coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025, a testament to our sustained growth driven by our people-first approach and unwavering dedication to excellence.
 
 
 

True Zero is seeking a Data and Analytics Engineer to lead the data and analytics functions supporting continuous Zero Trust maturity assessment and implementation measurement. The role establishes repeatable data models, quality controls, and analytics methods that turn authoritative enterprise evidence into measurable maturity, risk, gap, and implementation insights.

This position supports monthly maturity scorecards, quarterly maturity reporting, capability-weighted prioritization, and implementation analysis across the Zero Trust pillars.

Position Responsibilities

  • Design and maintain a common data model for Zero Trust maturity, implementation evidence, dependencies, risks, and outcome measures.
  • Aggregate and validate authoritative enterprise data used for monthly delta assessments and quarterly reporting.
  • Develop analytics that measure capability maturity, implementation progress, interoperability, organizational readiness, and investment priorities.
  • Support capability-weighted prioritization models and enterprise gap analyses.
  • Partner with Dashboard and Automation specialists to streamline recurring data refresh and visualization workflows.
  • Establish data quality, lineage, traceability, and documentation practices for assessment conclusions and executive reporting.

Job Qualifications

  • Bachelor’s degree in Data Science, Analytics, Computer Science, Information Systems, Cybersecurity, or a related field.
  • Five or more years of data engineering, analytics, cybersecurity metrics, or enterprise reporting experience.
  • Experience integrating structured and semi-structured enterprise data from multiple authoritative sources.
  • Experience developing repeatable metrics, analytical models, and quality controls.
  • Strong SQL, scripting, data visualization, and technical communication skills.
Preferred Qualifications: 
  • Experience with Power BI, Tableau, Splunk, data lakes, or enterprise analytics platforms.
  • Experience supporting cybersecurity maturity assessments or Federal reporting.
  • Familiarity with CISA Zero Trust Maturity Model metrics and evidence concepts.
Preferred Certifications:
One or more of the following is preferred:
  • Microsoft Power BI Data Analyst
  • Azure Data Engineer
  • AWS Data Engineer
  • Security+
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Fine, I'm applying →
NOT for me!!

What made it a no?

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