Edtech.com's Summary

University of Texas at Austin is hiring a Data Analytics Engineer, College of Natural Sciences. The role designs and supports integrated data solutions for academic, research, and administrative decision-making, including combining the college’s local data with central campus datasets in the UT Data Hub. The engineer works closely with academic units, central offices, researchers, and IT partners, turning their needs into scalable data structures within university data governance and privacy requirements.

Highlights

Develop, code, validate, and implement relational databases and integrated data structures that support analytics.
Gather business requirements from functional partners and work with technical partners to locate, clean, and orchestrate source data.
Write code that transforms business logic into a high-scale database environment, supporting descriptive, predictive, and prescriptive analytics and the reports and dashboards behind university decisions.
Build and maintain dashboards, reports, and data visualizations with stakeholders, and design database structures that make interactive tools accurate and fast.
Apply data engineering best practices including validation, testing and deployment procedures, version control, documentation, and automation of data processing pipelines.
Take part in the full data project lifecycle from requirements gathering through deployment, communicating status, risks, and issues to stakeholders and handling confidential information with discretion.
Hold a Bachelor’s degree in computer science, information systems, data science, or a related field, or equivalent professional experience.
Bring strong SQL skills for querying large databases and implementing business logic, along with solid knowledge of data flows in operational and analytical settings.
Preferred qualifications include higher education or research experience, PostgreSQL and cloud data platforms, Power BI or Tableau, and knowledge of data governance and metadata management software.
Salary of $80,000 and up depending on qualifications, for a full-time, 40-hour-per-week exempt position starting immediately, with hybrid/flex work options available.

Data Analytics Engineer, College of Natural Sciences Full Description

Job Details

Hiring Department: College of Natural Sciences
Position open to: All Applicants
Weekly scheduled hours: 40
FLSA status: Exempt
Earliest start date: Immediately
Position duration: Expected to continue
Location: UT Main Campus

General Notes

This position is not eligible for employer-sponsored work authorization. Applicants must be authorized to work in the United States for any employer now and in the future without sponsorship.

Purpose

The Data Analytics Engineer designs, develops, and supports integrated data solutions that enable informed decision‑making across academic, research, and administrative functions of the university. This role plays a key part in managing and integrating data across multiple environments, including combining local data with central campus datasets within the UT Data Hub framework.

Working closely with academic units, central offices, researchers, and IT partners, this position translates institutional needs into robust, efficient, and scalable data structures while operating within university data governance, privacy, and compliance requirements.

Responsibilities

Data Analytics and Data Engineering

Develops, codes, validates, and implements relational databases and integrated data structures that support analytics.
Collaborates with functional partners to collect business requirements and develop and refine business logic.
Collaborates with technical partners to locate, clean, and orchestrate source data.
Crafts code for the translation and transformation of functional business logic into a high-scale database environment, performing data transformation that readily supports descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other tools to support University decision-making.
Creates and maintains dashboards, reports, and data visualizations that turn complex data into clear, actionable insights, working with stakeholders to define requirements and ensuring accuracy, performance, and usability.
Understands how to best design database structures for meaningful data visualizations and interactive tools.
Engages in best practices in data analytics and data engineering – including robust validation processes, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough documentation, and automation and streamlining of data processing pipelines.
Applies creativity and flexibility to finding solutions for new institutional data challenges.
Assists with special projects and ad hoc data requests as needed.

Collaboration, Communication, & Institutional Knowledge

Works both independently and collaboratively with cross-functional teams to develop exceptional data products to meet university needs.
Participates in data project lifecycle – from conception, requirements gathering and design, documentation, development and testing through deployment.
Engages and communicates with partners and stakeholders to manage requests, expectations, and deliverables.
Effectively communicates project status, progress, risks, and issues to drive project to completion.
Develops an in-depth knowledge of university data processes and technologies.
Handles confidential information with tact and discretion.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.
Strong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data.
Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts.
Proven ability to synthesize complex and/or ambiguous information from multiple sources using a variety of tools and techniques to transform that information into consumable insights.
Ability to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting.
Proven prioritization and organizational skills with the ability to handle multiple projects simultaneously.
Excellent written and verbal communication skills, critical thinking and creative problem-solving, and attention to detail.
Demonstrated ability to maintain a high level of professionalism.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Experience working in a higher education or research environment.
Familiarity with institutional data domains (e.g., student, enrollment, research, finance, HR).
Experience working with cloud data platforms or analytics services and PostgreSQL environments.
Experience supporting business intelligence or analytics tools (e.g., Power BI, Tableau).
Knowledge of data governance, stewardship, and compliance in higher education.
Experience collaborating across decentralized organizations.
Familiarity with UT Austin's administrative computing environment.
Experience with metadata management software

Salary Range

$80,000 + depending on qualifications

Working Conditions

Collaborative, mission‑driven academic environment
Frequent interaction with diverse stakeholders including faculty, staff, and students
Hybrid/flex work options available

Required Materials

Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest

Other Information

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Data Analytics Engineer, College of Natural Sciences

Edtech.com's Summary

Data Analytics Engineer, College of Natural Sciences Full Description

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