> Markdown version of [/jobs/ext/1778614-metadata-integration-engineer](https://www.wearedevelopers.com/jobs/ext/1778614-metadata-integration-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Metadata Integration Engineer

- **Company:** REEF POINT GROUP INC.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Governance, Data Systems, Python (Programming Language), Metadata, Meta-Data Management, Scrum Methodology, SQL Databases, Enterprise Data Management, Data Ingestion, Large Language Models, Prompt Engineering, Collibra, Software Coding, Restful APIs, Databricks
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=52ea8d05118ed56d

## About the Role

* 3-5 years of experience developing enterprise data or metadata integration solutions
 * Experience developing metadata ingestion pipelines, APIs, connectors, and automation using Python, SQL, and REST APIs
 * Experience integrating enterprise metadata platforms such as Collibra, Databricks Unity Catalog, or similar technologies
 * Knowledge of metadata harvesting, lineage, schema discovery, and enterprise metadata management concepts
 * Experience implementing AI-assisted automation for metadata extraction, documentation, classification, or business glossary generation using LLMs or similar technologies
 * Familiarity with prompt engineering, AI APIs, and human review processes for AI-generated content
 * Strong analytical, troubleshooting, and problem-solving skills with experience working in Agile delivery teams
 * This position requires the employee to be a US Citizen and may require the ability to obtain a security clearance, * Experience supporting DoD, DHA, VA, or other federal agencies in secure, regulated environments

## Description

We are seeking a Metadata Integration Engineer to build and maintain the pipelines, connectors, and automation that move metadata across enterprise data and governance platforms. This role focuses on hands-on development - writing code and APIs to harvest, transform, and synchronize metadata between source systems and platforms such as Collibra and Databricks Unity Catalog - while also applying AI-assisted automation to accelerate metadata documentation, classification, and glossary generation. The ideal candidate is a strong Python/SQL developer who is comfortable working across integration, data governance, and emerging AI tooling in an Agile delivery environment., * Develop and maintain metadata ingestion pipelines, connectors, and automation using Python, SQL, and REST APIs

 * Integrate enterprise metadata platforms such as Collibra, Databricks Unity Catalog, or similar technologies with upstream and downstream data systems
 * Build and support metadata harvesting, schema discovery, and lineage capture across enterprise data sources
 * Design and implement AI-assisted automation for metadata extraction, documentation, classification, and business glossary generation using LLMs or similar technologies
 * Apply prompt engineering techniques to tune AI-generated outputs, and build human-review checkpoints to validate AI-generated content before publication
 * Troubleshoot pipeline failures, data quality issues, and integration errors across metadata workflows
 * Collaborate with data architects, governance leads, and engineers to translate metadata management requirements into working integrations
 * Participate in Agile ceremonies (sprint planning, standups, retrospectives) and deliver work incrementally as part of a cross-functional team
 * Document integration logic, pipeline design, and automation workflows to support maintainability and audit needs


## Related Videos

- [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata)
- [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)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)
- [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure)

## Related Articles

- [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)
- [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)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)