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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Knowledge Engineer - **Company:** Genesis10 - **Location:** Chandler, AZ, United States - **Experience:** Expert - **Salary:** $78,666.0 - $95,306.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Data Governance, Knowledge Management, Metadata, Meta-Data Management, Network Service, Runbook, Unstructured Data, Computer Network Technologies, Indexer - **Published:** June 20, 2026 - **Apply:** https://www.dice.com/job-detail/86d904c7-b8f8-434f-8a99-9211d5d1cc37 ## About the Role * Strong experience engineering and governing both structured and unstructured data used for analytics, automation, search, or AI-enabled solutions * Advanced understanding of data modeling, transformation, storage, indexing, retrieval, and metadata management patterns * Demonstrated ability to define enterprise-ready standards for data, documents, and knowledge artifacts prepared for AI consumption * Experience establishing and improving data quality, metadata quality, and knowledge quality controls * Strong knowledge of preventative and detective controls related to data and knowledge management practices * Experience working with knowledge sources such as policies, standards, configurations, telemetry, runbooks, and operational documentation * Strong working understanding of network technologies, infrastructure concepts, and service models * Experience defining data ownership, stewardship, lineage, freshness, and governance expectations in a regulated enterprise environment * Familiarity with AI-oriented data and knowledge preparation concepts, including grounding and retrieval-readiness * Strong analytical and problem-solving skills * Experience leading or influencing cross-functional work across engineering, architecture, operations, and governance stakeholders * Strong written and verbal communication skills * Experience with Data Analysis, Data Governance, and Data Modeling ## Description This role is responsible for leading the design, governance, and improvement of data and knowledge foundations that support AI capabilities across Network Services. The ideal candidate will work with both structured and unstructured data sources, partnering with subject matter experts to translate network technologies and operational context into reusable, AI-ready assets. This is a hybrid role requiring a minimum of 3 days onsite per week., * Lead the design and improvement of data and knowledge assets that support AI and agentic use-cases across Network Services * Define and maintain standards for how documentation, configurations, telemetry, metadata, policies, and operational knowledge should be organized, governed, and prepared for AI consumption * Partner with product and service subject matter experts to understand network technologies, operational context, and domain-specific knowledge * Design and guide scalable methods for storing, governing, indexing, validating, and retrieving context assets needed for AI-enabled workflows * Establish and evolve preventative and detective controls to reduce data quality, metadata quality, and knowledge quality issues * Lead remediation efforts for material data and knowledge quality issues by identifying upstream root causes and defining corrective actions * Define expectations for ownership, stewardship, lineage, freshness, governance, and control accountability across data and knowledge domains * Build or guide the development of pipelines, transformations, and validation routines to improve the quality of AI-relevant context assets * Mentor less senior engineers and contributors on data engineering, knowledge engineering, and control design practices ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)