AWS Data Engineer Spark & Databricks

Hybrid in Dallas, TX, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Data Engineering
  • Databricks
  • PySpark
  • Extract
  • Transform
  • Load

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10483217
  • Position Id: 9123174
  • Posted 1 hour ago
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