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AWS Data Engineer (Databricks)

Chabez Tech LLCCalabasas, CA🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

This role offers significant career growth by leveraging your extensive Databricks and AWS expertise to build impactful data solutions. You'll thrive here if you have a passion for optimizing large-scale data processing and developing robust ETL pipelines within a collaborative environment. Apply today to contribute to innovative projects with a reputable company.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Calabasas, CA, United States
Posted
22 hours ago
SQLAWSETLSnowflakeAirflowApacheApache SparkDatabricks

Job Description

Role: AWS Data Engineer (Databricks)

Location: Woodland Hills, CA - Onsite (Preference to Local)

Duration: 12+ Month

 

  • Over 7+ years of hands-on Databricks experience designing and developing scalable data engineering and analytics solutions using PySpark, Spark SQL, and Apache Spark for large-scale data processing and transformation. 
  • Built and optimized end-to-end Databricks ETL pipelines integrating AWS S3, Snowflake, Airflow, and AWS Glue, processing terabyte-scale structured and semi-structured datasets for enterprise reporting, analytics, and regulatory compliance. 
  • Developed reusable PySpark frameworks for data ingestion, cleansing, validation, enrichment, and business-rule implementation, while implementing data quality controls and performance tuning strategies to improve scalability and reliability. 
  • Leveraged Databricks across multiple engagements to support customer segmentation, campaign analytics, AML/regulatory reporting, production data pipelines, troubleshooting, and advanced data validation workflows

 

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