Job Description

Join to apply for the Data Engineer-15533 role at Rush University Medical Center

Join to apply for the Data Engineer-15533 role at Rush University Medical Center

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Academic Computing

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

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 4:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (

Pay Range: $46.07 - $77.40 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 Rushs 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 environment.

Preferred Job Qualifications:

Experience, education, licensure(s), specialized certification(s).

Cloud Certifications in AWS, Azure or GCP.

Competencies:

Physical Demands:

Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.

• 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 environment.

Competencies:

Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.

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.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

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Job Tags

Hourly pay, Full time, Shift work,

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