Python Data Engineer

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🔥 43 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

• Develop and maintain ETL (Extract, Transform, Load) processes; • Build and optimize data pipelines for analytical consumption; • Model and transform data from multiple source systems; • Ensure the quality, performance, and sustainability of data processes; • Monitor workloads and pursue operational efficiency with a focus on cost and performance; • Work on data modeling and data mining to support analyses and segmentation; • Document processes, workflows, and technical deliverables; • Collaborate with analysts, data scientists, engineers, and business stakeholders; • Support the onboarding and development of new team members; • Identify opportunities for continuous improvement in internal processes.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related fields; • Experience with ETL processes; • Proficiency in SQL and Python; • Knowledge of relational and non-relational databases; • Experience in data analysis, monitoring key metrics, and developing analytical studies; • Technical English for reading and understanding documentation; • Preferred: Knowledge of Data Lake, experience with Apache Spark, background in data engineering projects in high-volume environments, and familiarity with best practices in data governance, data quality, and data architecture.

🏖️ Benefits

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related fields; • Experience with ETL processes; • Proficiency in SQL and Python; • Knowledge of relational and non-relational databases; • Experience in data analysis, monitoring key metrics, and developing analytical studies; • Technical English for reading and understanding documentation; • Preferred: Knowledge of Data Lake, experience with Apache Spark, background in data engineering projects in high-volume environments, and familiarity with best practices in data governance, data quality, and data architecture.