The Data Engineer III is responsible for the installation, testing, maintenance, and development of scalable data-management systems. The Data Engineer III is responsible for the design, execution and monitoring of Extract, Transform, Load (ETL) operations. As a senior member of the Business Intelligence team, the Data Engineer will design solutions independently and with the Data Architects. The Data Engineer is able to perform complex data modelling. Additional responsibilities of the position include conducting data analysis, data integrity, and quality assurance testing; creating reports and dashboards for data consumption by the user community; assisting the Data Architect Team with evaluating data-management technologies, and performs other related tasks as assigned.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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-Excellent oral and written communication skills.
-Excellent analytical and problem solving skills.
-Ability to effectively identify and troubleshoot issues, as well as provide viable solutions and/or recommendations.
-Highly proficient 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.
-Demonstrated proficiency in the utilization of Data Visualization tools (Cognos, Power BI, MicroStrategy, or similar tools.
-Proficient use of Informatica or similar ETL tools.
-Ability to efficiently install and support data management systems, including databases, data design software, and ETL software.
-Business Intelligence experience in Higher Education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.