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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