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Data Engineer

Date Posted: 5/25/2023

Job #1629109
New York, New York
We have partnered with our client in their search for a Data Engineer

  • Creates and maintains optimal data pipeline architecture integrating large, complex data sets that meet functional and non-functional business requirements.
  • Identifies, designs, and implements internal process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
  • Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS cloud native technologies.
  • Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Works with project stakeholders to assist with data-related technical issues and supports data infrastructure needs.
  • Works with data and analytics team to strive for greater functionality in our data systems.
  • Participates in special projects and performs other duties, as required.


  • Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or a related field required.
  • Minimum of five years of experience working on advanced SQL knowledge, relational databases, and query authoring (SQL) required.
  • Experience building and optimizing big data pipelines, architectures and data sets required.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement required.
  • Strong analytic skills related to working with structured/unstructured datasets required. Experience building processes supporting data transformation, data structures, metadata, dependency and workload management required.
  • Working knowledge of message queuing, stream processing, and highly scalable data stores required.
  • Experience with relational SQL and NoSQL databases, such as Oracle, SQL Server, MySQL, Postgres, MongoDB and Snowflake required.
  • Experience with data pipeline and workflow management tools such as AWS Glue, and Airflow required.
  • Experience with AWS cloud services such as EC2, RDS, S3 & Athena, Redshift, and Dynamo required.
  • Experience with stream-processing systems including PySpark, Storm, and Spark-Streaming required.
  • Experience with object-oriented/object function scripting languages such as Python, Java, C++, and Scala required.


  • Data Engineer 


  • NYC

Client Industry 

  • Health Care
Pay Rate
  • $80-$85/hour 

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