Leads data and analytics engineering for Zero Trust maturity assessment and implementation measurement. Designs common data models, integrates and validates enterprise data, develops maturity and risk metrics, supports prioritization and gap analysis, and establishes data quality, lineage, traceability, and documentation practices. Partners with dashboard and automation specialists to streamline reporting and data refresh workflows.
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.
- 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.
- Microsoft Power BI Data Analyst
- Azure Data Engineer
- AWS Data Engineer
- Security+
Preferred Qualifications:
Preferred Certifications:
One or more of the following is preferred:
Similar Jobs
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Owns product strategy and roadmap for GoodRx’s pharmacy claims adjudication platform. Defines requirements, prioritizes features, analyzes customer and business data, collaborates with engineering, design, research, analytics, and pharmacy partners, and delivers tools that improve workflows and experiences for retail pharmacies and patients. The role also supports experimentation, documentation, go-to-market planning, stakeholder communications, and occasional travel.
Top Skills:
A/B TestingData AnalyticsPartner IntegrationsReal-Time Claims Adjudication Platforms
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and operate enterprise AI integration products, including MCP servers, agent-facing APIs, React and TypeScript experiences, semantic retrieval systems, and automated AI quality evaluations. Improve latency, reliability, token efficiency, observability, and security across distributed systems. Lead cross-functional engineering initiatives, mentor engineers, and implement enterprise safeguards such as tenant isolation, audit logging, OAuth, and prompt-injection defenses.
Top Skills:
A2ACachingCi/CdDistributed SystemsEmbeddingsEvent-Driven SystemsGoGraphQLHybrid SearchJavaScriptJson SchemaMcpOauth 2.1ObservabilityPythonRankingReactRerankingRestSdksStreaming ApisTypescriptVector DatabasesVector Indexes
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The job description does not include specific responsibilities or qualifications. The role is identified as Principal Data Scientist and may be performed remotely, in an office, or in a hybrid arrangement, depending on the employee’s location and Atlassian’s legal entity availability.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
