Senior Data Engineer, Databricks

Job not on LinkedIn

🔥 9 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

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

• Build, migrate, and enhance Data Engineering solutions in Databricks environments • Develop and maintain scalable, reliable, and high-performance data pipelines • Implement data ingestion, transformation, and delivery processes using Spark and PySpark • Work with Data Lake and Data Lakehouse architectures, implementing the Medallion model (Bronze, Silver, and Gold) • Interpret business rules and translate them into data processes and solutions • Participate in data platform migration and modernization projects • Ensure pipeline quality, performance, monitoring, and reliability

🎯 Requirements

• Proficiency in PySpark, Apache Spark, and SQL • Experience with Delta Lake, Delta Tables, Unity Catalog, and Lakeflow Declarative Pipelines • Knowledge of Lakeflow Connect for data ingestion • Experience with Jobs, Workflows, pipeline orchestration, and monitoring • Experience with Lakehouse architecture and the Medallion model (Bronze, Silver, and Gold) • Experience migrating platforms or developing projects in Databricks • Knowledge of Git, CI/CD, and development and deployment best practices • Knowledge of Airflow, Kafka, dbt, AWS Glue, and BigQuery • Experience with SQL/NoSQL databases such as PostgreSQL, MongoDB, or Cassandra • Preferred: experience with accounting and financial projects • Preferred: Databricks Certified Data Engineer Associate certification

🏖️ Benefits

• Remote work • This position is also open to candidates with disabilities