Data Analytics Engineer

DataJobs

Austin (TX)

Hybrid

USD 80,000 - 100,000

Full time

5 days ago
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Job summary

DataJobs in Austin seeks a data engineer to design and deliver integrated data solutions that support UT Austin academic, research, and administrative decision-making.

You will develop relational databases, gather business requirements with partners, implement data structures, and enable dashboards and reports for university decision-making. This is a hybrid role based in Austin with strong SQL, PostgreSQL, Power BI, and Tableau expertise.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or equivalent professional experience.
  • Strong SQL skills to query large databases, manipulate and validate data, implement business logic, and analyze data.
  • Excellent knowledge of databases, data flows, and data manipulation across operational and analytical contexts.
  • Ability to synthesize complex information into consumable insights using varied tools and techniques.
  • Experience communicating with stakeholders in higher education or enterprise environments.
  • Ability to prioritize and manage multiple projects simultaneously.
  • Strong written and verbal communication, critical thinking, and problem-solving with attention to detail.

Responsibilities

  • Develop, code, validate, and implement relational databases and data structures for analytics.
  • Gather business requirements with partners and develop/refine business logic.
  • Work with technical partners to locate, clean, and orchestrate source data.
  • Translate and transform business logic into a high-scale database environment for descriptive, predictive, and prescriptive analytics.
  • Enable outputs including reports, dashboards, and tools for university decision-making.
  • Design database structures that support meaningful data visualizations and interactive tools.
  • Apply data analytics and engineering best practices: validation, testing, deployment, data mining, version control, documentation, automation.
  • Support ad hoc data requests and special projects; collaborate across teams and also work independently.

Skills

SQL querying
Data modeling
Data visualization
Analytics

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, or equivalent

Tools

SQL
PostgreSQL
Power BI
Tableau
UT Data Hub

Job description

Design and deliver integrated data solutions that support UT Austin academic, research, and administrative decision-making.

Responsibilities
  • Develop, code, validate, and implement relational databases and integrated data structures for analytics
  • Gather business requirements with functional partners and develop/refine business logic
  • Work with technical partners to locate, clean, and orchestrate source data
  • Translate and transform business logic into a high-scale database environment supporting descriptive, predictive, and prescriptive analytics
  • Enable consumable outputs including reports, dashboards, and other tools for university decision-making
  • Design database structures that support meaningful data visualizations and interactive tools
  • Apply data analytics and data engineering best practices, including:
    • Robust validation processes
    • Testing and deployment procedures
    • Data mining algorithms
    • Version control and code integration
    • Thorough documentation
    • Automation and streamlining of data processing pipelines
  • Use creativity and flexibility to address new institutional data challenges
  • Support special projects and ad hoc data requests as needed
  • Collaborate with cross-functional teams and also work independently to deliver data products aligned to university needs
  • Participate in the data project lifecycle from conception through requirements gathering, design, documentation, development, testing, and deployment
  • Communicate with partners and stakeholders to manage requests, expectations, and deliverables
  • Provide updates on project status, progress, risks, and issues to drive completion
  • Build and maintain an in-depth understanding of university data processes and technologies
  • Handle confidential information with tact and discretion
Requirements
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience
  • Strong technical expertise 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 across operational and analytical contexts
  • Proven ability to synthesize complex and/or ambiguous information from multiple sources into consumable insights using varied tools and techniques
  • Ability to communicate and collaborate effectively with stakeholders in higher education or enterprise environments
  • Proven prioritization and organizational skills to manage multiple projects simultaneously
  • Strong written and verbal communication, critical thinking, 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
Technologies
  • SQL
  • PostgreSQL
  • Power BI
  • Tableau
  • UT Data Hub
Preferred Qualifications
  • Experience working in a higher education or research environment
  • Familiarity with institutional data domains (student, enrollment, research, finance, HR)
  • Experience working with cloud data platforms or analytics services and PostgreSQL environments
  • Experience supporting business intelligence or analytics tools (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
Compensation
  • Salary: USD 80,000 per year
  • Salary range: $80,000 + depending on qualifications
Location and Working Conditions
  • Austin, TX 78701 (hybrid)
  • May work around standard office conditions
  • Repetitive use of computer equipment
  • Hybrid/flex work options available
Required Materials
  • Resume/CV
  • 3 work references with contact information (at least one reference should be from a supervisor)
  • Letter of interest
Employment Eligibility
  • 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
Additional Eligibility and Compliance
  • Regular staff employed in their current position for the last six continuous months are eligible for openings through University-Wide or Open Recruiting (including promotional opportunities and lateral transfers)
  • Staff eligible for promotion/transfer may apply for positions without supervisor approval
  • Retirement plan eligibility: Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length
  • Background checks: a criminal history background check will be required for finalist(s)
  • Title IX and Clery Act: employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act)
  • Clery Act notice: prospective employees will be notified of the availability of the Annual Security and Fire Safety report
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