Data Engineer

Location:

Chicago, Illinois

Business Unit:
Rush Medical Center

Hospital:
Rush University Medical Center

Department:
Data Management

Work Type:
Full Time (Total FTE between 0.9 and 1.0)

Shift: Shift 1

Work Schedule:

8 Hr (7:00 AM - 3:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://(Use the "Apply for this Job" box below).).

Pay Range: $46.07 - $68.64 per hour

Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects. This position will require working with complex data sources and transforming it into something useful for analysts. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

• 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, 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 No
  
  SQL, and Spark.
• Ability to manage multiple projects.
• Ability to work independently or in groups.
• Ability to prioritize time.
• Ability to adapt to a rapidly changing environment.
• Cloud certifications in AWS, Azure or GCP (preferred).

• Design, develop and maintain data pipelines to enable data analysis and reporting.
• Build, evolve and scale infrastructure to ingest, process and extract meaning from 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 data warehouses.
• Combine, optimize and manage multiple big data sources.
• Build data infrastructure and determine proper data formats to ensure data is ready for use.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.