Remote Data Engineer - Cloud Data Pipelines

Rush University Medical Center; Chicago (IL); On-site; USD 132,010,000 - 196,681,000; Full time

Job summary

Rush University Medical Center in Chicago, IL is seeking a Data Engineer to design and implement data pipelines for cloud projects, transforming complex data sources into analytics-ready assets.

The role requires a Bachelor's degree and 5 years of experience with cloud computing, ETL tools, Hadoop/Spark platforms, and proficiency in Python and SQL.

You will work within Research Computing, collaborating across teams in a remote-friendly full-time environment.

Qualifications

• Bachelor's Degree.
• 5 years of experience.
• Strong background in cloud computing, software engineering and data processing.
• Data management experience.
• Experience in ETL Tools such as Pentaho, Talend, Informatica, Azure Data Factory, Apache Kafka and Apache Camel.
• Experience designing and implementing analysis solutions on Hadoop-based platforms such as Cloudera Hadoop, or Hortonworks Data Platform or Spark based platforms such as Databricks.
• Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc.
• Strong analytical and problem-solving skills.
• Strong verbal and written communication skills.
• Proficient programming skills in Python, SQL NoSQL, and Spark.

Responsibilities

• Responsible for design, development and maintenance of data pipelines to enable data analysis and reporting.
• Builds, evolves and scales out infrastructure to ingest, process and extract meaning out data.
• Write complex SQL queries or python code to support analytics needs.
• Manage projects / processes, working independently with limited supervision
• Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
• Combines, optimizes, and manages multiple big data sources.
• Builds data infrastructure and determines proper data formats to ensure data is ready for use.

Skills

Data pipelines

Cloud computing

Python

SQL

Spark

ETL

Data processing

Education

Bachelor's Degree

Tools

Pentaho

Talend

Informatica

Azure Data Factory

Apache Kafka

Apache Camel

Cloudera Hadoop

Hortonworks

Databricks

Job description

Rush University Medical Center in Chicago, IL is seeking a Data Engineer to design and implement data pipelines for cloud projects, transforming complex data sources into analytics-ready assets.

The role requires a Bachelor's degree and 5 years of experience with cloud computing, ETL tools, Hadoop/Spark platforms, and proficiency in Python and SQL.

You will work within Research Computing, collaborating across teams in a remote-friendly full-time environment.