Senior Data Engineer – Databricks

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, create, and maintain robust and scalable data pipelines utilizing Apache Spark and cloud-native data services.

• Develop, optimize, and support ETL/ELT workflows to facilitate analytics, reporting, and downstream applications.

• Implement and oversee data solutions employing Databricks, Delta Lake, and Unity Catalog.

• Ensure data quality, reliability, and performance across extensive and complex datasets.

• Collaborate with cross-functional teams to collect data requirements and convert them into effective technical solutions.

• Apply best practices in data engineering concerning scalability, security, monitoring, and maintainability.

• Support ongoing enhancement of data architecture, pipeline performance, and operational stability within a cloud environment.

⛳️ Requirements

• Over 7 years of experience in data engineering or a comparable technical position.

• Extensive hands-on experience with Databricks and Apache Spark is essential.

• Familiarity with Delta Lake and Unity Catalog for data management and governance.

• Strong understanding of data pipeline design, ETL/ELT methodologies, and data modeling concepts.

• Experience with cloud data platforms such as Azure, AWS, or GCP.

• Demonstrated ability to design scalable, reliable, and high-performing data solutions.

• Excellent problem-solving skills and the capability to work effectively in collaborative, fast-paced environments.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development