Senior Data Engineer, Databricks

Compass

full-time

Posted on: 1/14/2026

Location Type: Remote

Location: Brazil

✨ AI Apply

About the role

Ensure monitoring of Data Quality: Implement processes to monitor data accuracy, consistency, and integrity;
Data Security: Protect data from unauthorized access through security measures such as encryption and access control;
Collaboration with Teams: Work closely with data teams and business stakeholders to understand their needs;
Monitoring and Optimization: Monitor the performance of the data platform and implement improvements to optimize efficiency and scalability;
Documentation: Document data engineering processes and procedures to ensure practices are reproducible and understandable for other team members;

Advanced experience and knowledge in Databricks;
Flat dimensional data modeling;
Proficiency in programming languages such as Python, Java, and Scala;
Experience with relational databases (e.g., MySQL, Oracle) and non-relational databases such as MongoDB;
Experience in ETL (Extract, Transform, Load): The ETL process is fundamental to extracting data from different sources, transforming it according to business needs, and loading it into target systems;
Proficiency in distributed storage and processing: Knowledge of Big Data tools to handle increasing data volumes;

Tip: use these terms in your resume and cover letter to boost ATS matches.

Databricksflat dimensional data modelingPythonJavaScalaMySQLOracleMongoDBETLBig Data

collaborationcommunicationdocumentation