Data Engineer

New York, New York • $150,000-$250,000

About the Company:

Our client is a private equity real estate firm and is hiring a Data Engineer who can sit fully remote.

 

Responsibilities:

  • Develop, construct, test and maintain architectures
  • Develop data set processes
  • Build data systems and pipelines
  • Build algorithms and prototypes
  • Evaluate business needs and objectives
  • Data acquisition and ingestion – Identify data sources and build pipelines using various ETL tools such as but not limited to, SSIS, and Alteryx
  • Assist in defining the data architecture framework, standards and principles, including modeling, metadata, security and reference data
  • Create and optimize data models to support various business applications
  • Automate and support workflows to ensure timely delivery

 

Requirements:

  • 5+ years data engineering experience
  • Proficient programming capability, Python preferred
  • Experience designing data models and data warehouses and using SQL database management systems along with data processing using traditional and distributed systems
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience working within financial services industry and/or familiarity of different asset classes is preferred

 

 

Salary Range: 

$150,000-$250,000

 

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