Senior Data Engineer - Scalable Pipelines (PySpark)

Jobgether; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Healthcare benefits

Employee financial programs

Paid time off

Sick leave

Professional development

Job summary

Jobgether partners with a global technology company delivering data solutions. They seek a data engineer to design, develop, and maintain scalable data pipelines, ingest data from multiple sources, and monitor performance.

You will work with PySpark, Spark SQL, Delta Lake, and Databricks to enable reliable data movement across platforms. The team fosters an international engineering culture with collaboration and professional development opportunities.

Qualifications

• At least 3 years of experience in data engineering or related software engineering.
• Strong hands-on experience with PySpark, Spark SQL, Delta Lake, and Databricks tools.

Responsibilities

• Design, develop, and maintain scalable data pipelines for reliable data movement.
• Build data ingestion processes from multiple source systems and monitor performance.

Skills

PySpark

Spark SQL

Delta Lake

Databricks

Tools

Databricks

Delta Lake

Job description

Jobgether partners with a global technology company delivering data solutions. They seek a data engineer to design, develop, and maintain scalable data pipelines, ingest data from multiple sources, and monitor performance.

You will work with PySpark, Spark SQL, Delta Lake, and Databricks to enable reliable data movement across platforms. The team fosters an international engineering culture with collaboration and professional development opportunities.