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AWS Data Engineer Spark & Databricks

Tymon GlobalDallas, TX🇺🇸United StatesPosted Oct 23, 2026

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationDallas, TX, United States
Posted19 hours ago
SQLApache SparkAWSETLApacheDatabricksPythonRedshiftDelta Lake

Job description

We are seeking an experienced AWS Data Engineer with 6+ years of experience in data engineering, cloud technologies, and large-scale data processing. The ideal candidate must have strong hands-on experience with AWS, Apache Spark, PySpark, and Databricks to build and optimize scalable data pipelines and data processing solutions.

Roles & Responsibilities

  • 6+ years of experience in data engineering with strong hands-on expertise in AWS, Apache Spark, PySpark, and Databricks.
  • Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, and SQL.
  • Work with AWS services such as S3, Glue, EMR, and Redshift to build reliable data solutions.
  • Develop and optimize data processing workflows using Databricks, Delta Lake, and Apache Spark.
  • Perform data validation, quality checks, troubleshooting, and performance optimization across data pipelines.
  • Collaborate with cross-functional teams to deliver secure, reliable, and scalable cloud-based data engineering solutions.

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