Associate Data Engineer

Job Type: Full time

Job Number: JR-024363

Location: Guadalajara, MX

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.

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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 Mexico; 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.

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.