Base: $60,000 - $70,000; bonus/equity: not specifi...
On-site
Strong hands-on experience in python and pyspark
Solid understanding of spark concepts and performance tuning
Experience with modern data management platforms like snowflake or databricks
Qualitest Group is seeking a Data Engineer to join their team in the United States, emphasizing the role's focus on AI-powered quality engineering. The ideal candidate should have a strong technical background in data processing and cloud platforms, alongside a collaborative spirit
Job Summary
The role involves designing reliable, reusable, and scalable data solutions for a leading AI-powered Quality Engineering Company.
Qualities include strong expertise in autoscaling, cluster optimization, and cost-efficient data processing in distributed environments.
Employees benefit from a competitive salary range, 401k matching, healthcare benefits, and extensive learning platforms.
Matching Summary
Match Score: 85
Qualitest Group is seeking a Data Engineer to join their team in the United States, emphasizing the role's focus on AI-powered quality engineering. The ideal candidate should have a strong technical background in data processing and cloud platforms, alongside a collaborative spirit.
Salary
Base: $60,000 - $70,000; Bonus/Equity: Not specified; Benefits: 401k match, HSA match, gym membership, wellness program
Skills & Requirements
Must-have
Strong hands-on experience in Python and PySpark
Solid understanding of Spark concepts and performance tuning
Experience with modern data management platforms like Snowflake or Databricks
Knowledge of Medallion Architecture bronze silver gold layers
Familiarity with batch and streaming data processing
Nice-to-have
Exposure to Terraform or infrastructure-as-code tools
Collaboration with global thought leaders across industries
Participation in flexible and casual culture events
Interest in internal rotation and international mobility opportunities
Key Requirements
Strong hands-on experience in Python and PySpark
Experience with Snowflake, Databricks, or similar cloud platforms
Understanding of CI/CD, DevOps practices, and version control