Data Engineer

WGU; Salt Lake City (UT); On-site; USD 98,000 - 147,000; Full time

Benefits offered by this job

Bonuses

Medical, dental, vision insurance

Retirement savings plan

12 holidays

Tuition discount

Job summary

WGU is actively hiring a Data Engineer in Salt Lake City to design and maintain robust ETL/ELT pipelines and data architectures for analytics. You will consolidate diverse data sources, ensure data security across cloud environments, and deliver insightful reports to stakeholders using Cognos and Tableau.

Applicants should have a MIS/CS degree with 2+ years in data engineering or BI, and comfortable working in an agile environment to drive timely data solutions.

Qualifications

• Bachelor's Degree in MIS, CS, or a related field; 2 years of experience in Data Engineering, Data Integration, Big Data, BI, or Software Engineering.
• Equivalent relevant experience may substitute for education requirements (1 year exp per year of education).

Responsibilities

• Develops and builds ETL/ELT data pipelines for 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 business requirements.
• Delivers ad-hoc and analytical reports to internal users and teams.
• Monitors and maintains ETL/ELT jobs and troubleshoots load issues.
• Performs data/technology discovery from new sources and third-party applications.
• Creates complex reports and dashboards in Cognos and Tableau.

Skills

SQL & NoSQL

ETL/ELT pipelines

Data modeling

Python/Java/Scala

Cloud data warehouses

Cognos/Tableau

Education

Bachelor's Degree in MIS/CS

Tools

Cognos

Tableau

Hadoop

Spark

Kafka

Databricks

Cloudera

Hortonworks

Job description

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 - $147,400.00

Job Duties

• 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, NoSQL, 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.

KSAs

• 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 NoSQL 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

Minimum Qualifications

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.

Preferred Qualifications

Higher Education Domain Exposure

Disclaimer

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 as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require.

Travel

This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Additional Information

• Full-Time Regular Positions (classified as regular and working 40 standard weekly hours)
• This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses
• medical, dental, vision, telehealth and mental healthcare
• health savings account and 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

• Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.
• Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.