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Associate Data Engineer

Western Governors University

Western Governors University

Data Science
Guadalajara, Jalisco, Mexico
Posted on Feb 14, 2026

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.

The principal function of the Associate Data Engineer is to build robust ETL/ ELT pipelines to make data available to Data Analysts, Data Scientists, and other internal business units. The Data Engineer will be responsible for coding and working through the development cycle of ETL/ELT jobs and BI reporting. They will understand business requirements and design optimal ETL/ELT process for data acquisition, transformation, and publication for ease of analysis.

The Data Engineer will follow agile development methodology for timely delivery of accurate data. They must have coding proficiency to write unit tests for pipeline functionality as well as data quality – this includes job monitoring, alerting, and code versioning and deployment. This position is also expected to develop, modify, and deploy formal and ad hoc reports.

Associate Data Engineer

The principal function of the Associate Data Engineer is to build robust ETL/ ELT pipelines to make data available to Data Analysts, Data Scientists, and other internal business units. The Data Engineer will be responsible for coding and working through the development cycle of ETL/ELT jobs and BI reporting. They will understand business requirements and design optimal ETL/ELT process for data acquisition, transformation, and publication for ease of analysis.

The Data Engineer will follow agile development methodology for timely delivery of accurate data. They must have coding proficiency to write unit tests for pipeline functionality as well as data quality – this includes job monitoring, alerting, and code versioning and deployment. This position is also expected to develop, modify, and deploy formal and ad hoc reports.

Essential Functions and 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 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.
  • Analyzes and understands data sources and designs a data model for data capture and ETL/ELT.
  • Identifies bugs, applies fixes, and checks data quality via process/pipeline audits.
  • Uses industry best practices for code development, testing, implementation, and documentation.
  • Performs other job-related duties as assigned.

Knowledge, Skills, And Abilities

  • Excellent verbal and written communication skills, along with technical documentation skills.
  • 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.
  • Knowledge and experience using tools like Jira, Confluence, and GitHub.
  • Ability to develop processes for the audit of data integrity.
  • Knowledge and experience with validation and testing development to analyze and debug issues.
  • 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 Databricks, Hadoop, Spark, Kafka, etc.
  • Exposure to analytical reporting tools, preferably Power BI and Tableau.

Minimum Qualifications

  • 2 + years of experience in Data Engineering, Data Integration, Big Data, Business Intelligence, or Software Engineering.
  • 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. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is at the discretion of the hiring manager.

Preferred Qualification

  • Higher Education Domain Exposure

Location:


This role is currently remote within México; the position will shift to a hybrid model once our Guadalajara office opens.

  • As an equal opportunity employer, we recognize our strength lies in our people and commit to creating an inclusive environment where all can thrive, regardless of race, age, gender orientation, sexual orientation, religion, or disability.
  • Job Description 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.
  • This role includes participation in a rotating on-call schedule shared among team members to ensure support coverage outside regular hours. Rotation may be required depending on team needs. We value the “you build it, you own it” principle — on-call participation reflects our commitment to ownership, accountability, and reliability.
  • Learn more about our WGU Mexico Team by clicking here.

#LI-OM1

This role includes participation in a rotating on-call schedule shared among team members to ensure support coverage outside regular hours. Rotation may be required depending on team needs. We value the “you build it, you own it” principle — on-call participation reflects our commitment to ownership, accountability, and reliability.

Learn more about our WGU Mexico Team by clicking here.