Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Design, implement, and evolve scalable, secure data architectures. • Develop and maintain data ingestion, integration, processing, and delivery pipelines. • Build and maintain Data Lake, Data Warehouse, and analytics environments. • Ensure data quality, traceability, security, and governance. • Integrate data from different corporate systems, applications, and sources. • Support the definition of data architecture standards, best practices, and strategies. • Optimize data storage, transformation, and consumption processes. • Partner with business, analytics, BI, data science, and technology teams to enable data-driven solutions. • Serve as a technical reference for data initiatives and provide technical support to multidisciplinary teams. • Participate in the definition, implementation, and evolution of modern cloud data platforms.

🎯 Requirements

• Bachelor’s degree in Information Technology, Data Science, Engineering, Mathematics, Statistics, Physics, Chemistry, or a related field. • Experience in Data Engineering and data solution architecture. • Knowledge of data modeling and systems integration. • Experience building and maintaining ETL/ELT pipelines. • Advanced SQL skills. • Experience processing and transforming large volumes of data. • Knowledge of data governance, quality, and security. • Experience with Data Lake and Data Warehouse environments. • Knowledge of cloud data platforms and services. • Ability to collaborate effectively with technical teams and business functions. • Databricks certifications or training. • Experience with SAP Datasphere. • Experience with Cognite. • Experience with Dataiku. • Knowledge of Python for data engineering and automation. • Experience with modern data and analytics architectures. • Experience in technical leadership or coordination of data teams. • Knowledge of DataOps, Git, and agile methodologies. • Candidates must answer whether they hold a completed degree in an IT-related field. • A résumé is required to apply.

🏖️ Benefits

• Open to candidates with disabilities • Remote work