✦ Luna Orbit — Data & Analytics

Data Engineers

at American Express

📍 Phoenix, Arizona, United States Unknown Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and implementing data pipelines and data warehousing solutions to support analytics and reporting.

  • Design data pipelines
  • Build scalable data solutions
  • Optimize data storage
  • Ensure data quality
  • Collaborate with data teams

Utilizes SQL, Python, Spark, Hadoop, ETL tools, and data warehousing platforms to manage large-scale data processing.

The ideal candidate is a mid-level data engineer with experience in SQL, Python, and big data technologies like Spark and Hadoop. They should have a strong background in building data pipelines and data warehousing solutions.

SQLPythonData Warehousing
SparkHadoopETLBig Data
Apache SparkHadoopETL toolsData Warehouse platforms
SQLPythonSparkHadoopETLData WarehousingBig DataData Pipelines
SQLPythonSparkHadoopETLData WarehousingBig DataData Pipelines
CommunicationProblem-solvingTeamworkAnalytical thinking
Industry Financial Services / Banking
Job Function Data engineering and pipeline development
Data EngineerSQLPythonSparkHadoopETLData WarehousingBig DataData PipelinesApache Spark

Lack of experience with Spark or Hadoop, No experience in data warehousing, Unable to work in Phoenix, Arizona

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