Data Engineer III - ETL, Modeling & BI Dashboards

Tulane University; New Orleans (LA); On-site; USD 90,000 - 130,000; Full time

Job summary

Tulane University seeks a Data Engineer III to design, implement, and maintain scalable data-management systems and ETL pipelines. You will model data, develop dashboards, and ensure data quality for user communities.

You will collaborate with Data Architects and BI team members, apply Agile practices, and work with SQLServer, Oracle, NoSQL and graph databases, as well as Informatica ETL tools to deliver reliable data solutions.

Qualifications

• Bachelor’s Degree in Computer Science or a related field; six (6) years IT experience including SQL, data modeling tools, ETL, data warehousing, data visualization, Linux and Windows OS experience; plus one (1) year Agile Project Management experience.

Responsibilities

• Excellent oral and written communication skills.
• Excellent analytical and problem-solving skills.
• Ability to identify and troubleshoot issues and provide viable solutions.
• Highly proficient in data analysis and data management skills.
• Working knowledge of Agile Practices.
• Familiarity with multiple programming languages and frameworks.
• Working knowledge of SDLC Methodologies and Practices.
• Sound knowledge of SQLServer, Oracle, NoSQL and Graph databases.
• Proficient use of Data Visualization tools (Cognos, Power BI, MicroStrategy, or similar).
• Proficient use of ETL tools such as Informatica.

Skills

Data analysis

Data management

Analytical thinking

Education

Bachelor's Degree in Computer Science

Tools

SQLServer

Oracle

NoSQL databases

Graph databases

Power BI

Cognos

MicroStrategy

Informatica

Job description

Tulane University seeks a Data Engineer III to design, implement, and maintain scalable data-management systems and ETL pipelines. You will model data, develop dashboards, and ensure data quality for user communities.

You will collaborate with Data Architects and BI team members, apply Agile practices, and work with SQLServer, Oracle, NoSQL and graph databases, as well as Informatica ETL tools to deliver reliable data solutions.