Location: Chicago, IL
Cap-Exempt H-1B Position — No lottery required
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 (7:00:00 AM - 3:00:00 PM) Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits). 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. **Summary:** 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. **Other Information:** - 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. - Ability to manage multiple projects essential. - Ability to work independently or in groups. - Ability to prioritize time. - Ability to adapt to a rapidly changing env