Data Engineer

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

Pay Range: $98,300.00 - $

• Develops and builds ETL/ELT data pipelines for use in data analysis.
• Creates and maintains optimal data pipeline architecture.
• Keeps data separated and secure across multiple cloud environments.
• Assembles large, complex data sets that meet functional and non-functional business requirements.
• Delivers ad-hoc and analytical reports to internal users and teams.
• Monitors and maintains ETL/ELT jobs and troubleshoots load issues.
• Manages change requests/ticket queues for analytical reports and ETL/ELT jobs.
• Performs data/technology discovery from new sources and third-party applications for data ingestion.
• Creates complex reports and dashboards in Cognos and Tableau.
• Ingests and transforms structured, semi-structured, and unstructured data from sources including relational databases, No
  
  SQL, external APIs, JSON, XML, delimited files, and more.
• Works and delivers in agile methodology for new development projects. Delivers efficient and effective solutions on time.
• Performs other job-related duties as assigned.

• Ability to analyze and understand data sources and design a data model for data capture and ETL/ELT
• Ability to identify bugs and apply fixes and check data quality via process/pipeline audits
• Ability to work with team members, as well as cross-team for product delivery
• Ability to work in an agile environment with timely delivery of ETL/ELT pipelines and reports
• Ability to deal with a variety of variables under limited standardization
• Ability to interpret various instructions
• Ability to communicate clearly, effectively, and appropriately with all audiences
• Ability to work independently, is self-motivated, and a strong team player
• Use of industry best practices for code development, testing, implementation and documentation
• Experience with relational SQL and No
  
  SQL databases
• Knowledge and experience with object-oriented/object function scripting languages, like Python, Java, and Scala
• Knowledge and experience with big data tools, like Hadoop, Spark, Kafka, Databricks, etc.
• Exposure to analytical reporting tools, preferably Cognos and Tableau
• Knowledge and experience with Cloudera or Horton, Impala, Hive, AngularJS, HTML5, and CSS/LESS

Bachelor's Degree in Management Information Systems, Computer Science, or a related field 2 years of experience in Data Engineering, Data Integration, Big Data, Business Intelligence, or Software Engineering Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is the discretion of the hiring manager.

Higher Education Domain Exposure

This position description provides the major duties/responsibilities, requirements and working conditions for the position. It is intended to be an accurate reflection of the current position, however management reserves the right to revise or change…