Staff Data Engineer

Edelman Financial Engines is seeking a Staff Data Engineer to join our Data Engineering team under the Investment Management organization. We are looking for a talented, passionate and results-oriented data engineer with experience working with unstructured data including data modeling and developing data pipelines using Apache Spark/PySpark.  This individual will contribute to our journey of transforming batch to near-real-time use cases.

Responsibilities:

  • Continue to help scale our data analytics platform to meet the company’s vision for growth
  • Follow AWS best practices and industry standards
  • Contribute to the development of event processing pipelines for near real-time analytics use cases.
  • Provide critical support to our Distribution and Marketing Teams in Salesforce CRM
  • Flawless communication within internal teams and across the organization

Experience:

  • 8+ years of total experience with a Bachelor’s Degree in Computer Science and equivalent experience
  • 6-8+ years’ experience working as a developer in Data Engineering with data pipelines and data processing.
  • Practical hands-on experience with technologies like Apache Spark, PySpark and other stream processing frameworks
  • Experience working with data formats such as Apache AVRO, Apache Parquet, and common methods in data transformation
  • Experience with AWS Big Data technology stack and AWS Certification is a strong plus
  • Self-driven, and ability to work with a geographically distributed a dynamic team
  • Excellent analytical, communication and organizational skills
  • Strong teamwork, coordination, planning and influencing skills
  • Experience working with Google Analytics, and working in a microservices environment is a plus

 

 


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