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About the Role
The Associate Data Engineer will build robust ETL/ELT pipelines to make data available to Data Analysts, Data Scientists, and other internal business units. This role involves coding, working through the development cycle of ETL/ELT jobs and BI reporting, and understanding business requirements to design optimal ETL/ELT processes for data acquisition, transformation, and publication for ease of analysis.
Responsibilities
- 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 various sources.
- Works and delivers in agile methodology for new development projects.
- Delivers efficient and effective solutions on time.
- Performs other job-related duties as assigned.
Requirements
- 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.
- Occasional travel of up to 20%, including required attendance at designated company summits.
Skills
- Relational SQL
- NoSQL databases
- Object-oriented/object function scripting languages (e.g., Python, Java, Scala)
- Big data tools (e.g., Hadoop, Spark, Kafka, Databricks)
- Analytical reporting tools (preferably Cognos and Tableau)
- Cloudera or Horton
- Impala
- Hive
- AngularJS
- HTML5
- CSS/LESS
Location
- Remote
Work Type
- Full-Time
- Regular
Experience Level
- 2 years of experience in Data Engineering, Data Integration, Big Data, Business Intelligence, or Software Engineering
Education Level
- Bachelor's Degree in Management Information Systems, Computer Science, or a related field
- Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements.
Salary/Compensations
- $98,300.00 - $147,400.00
Benefits
- Bonuses
- Medical
- Dental
- Vision
- Telehealth
- Mental healthcare
- Health savings account
- Flexible spending account
- Basic and voluntary life insurance
- Disability coverage
- Accident, critical illness and hospital indemnity supplemental coverages
- Legal and identity theft coverage
- Retirement savings plan
- Wellbeing program
- Discounted WGU tuition
- Flexible paid time off for rest and relaxation with no need for accrual
- Flexible paid sick time with no need for accrual
- 11 paid holidays
- Other paid leaves
- Up to 12 weeks of parental leave
About the Company
- 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.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.