Data Engineer – Specialist

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🔥 15 minutes ago

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Compass

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

📱 Media

Real Estate • Media

Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

📋 Description

• Define and implement Artificial Intelligence solutions applied to data modernization and legacy systems. • Develop mechanisms for analyzing, interpreting, and extracting technical information from legacy artifacts. • Build Generative AI–based solutions to accelerate documentation, transformation, and migration processes. • Create intermediate metadata models to represent flows, business rules, dependencies, entities, and transformations. • Develop accelerators and reusable components aligned with the enterprise data architecture. • Support the definition of templates, technical standards, and declarative structures for modern pipelines. • Develop and evolve pipelines using Databricks, PySpark, Lakeflow Jobs, and Declarative Pipelines. • Work with batch loads, incremental ingestions, CDC (Change Data Capture), and enterprise integrations. • Support the advancement of data governance, traceability, and data quality during migration. • Collaborate with architects, data engineers, and platform specialists to define scalable and secure solutions.

🎯 Requirements

• Experience with Artificial Intelligence applied to Data Engineering, Software Engineering, or Technical Automation. • Hands-on knowledge of Generative AI and Large Language Models (LLMs). • Experience with: • AI agents • RAG (Retrieval-Augmented Generation) • Prompt engineering • Function calling • Tool use • Automated workflows • Experience with AI orchestration frameworks: • LangChain • LangGraph • Semantic Kernel • CrewAI • Or equivalent frameworks • Experience with Python. • Experience with PySpark and Spark SQL. • Development of data pipelines in distributed environments. • Advanced SQL knowledge. • Knowledge of XML, JSON, and YAML. • Experience with data modeling and Data Warehousing. • Experience working with Databricks environments.

🏖️ Benefits

• Position open to candidates with disabilities (PcD)