{"schemaVersion":"jobsearcher.job.v1","id":"198da6dca69b6ca6389f58ca","url":"https://jobsearcher.com/jobs/198da6dca69b6ca6389f58ca","canonicalUrl":"https://jobsearcher.com/jobs/198da6dca69b6ca6389f58ca","title":"Data Analytics Engineer - Hybrid & Data-Centric Solutions","description":"Job Posting Title:\nData Analytics Engineer, College of Natural Sciences ----\nHiring Department:\nCollege of Natural Sciences ----\nPosition Open To:\nAll Applicants ----\nWeekly Scheduled Hours:\n40 ----\nFLSA Status:\nExempt from FLSA ----\nEarliest Start Date:\nAug 01, 2026 ----\nPosition Duration:\nExpected to Continue ----\nLocation:\nUT MAIN CAMPUS ----\nJob Details:\nGeneral 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.\nThe College of Natural Sciences at UT Austin, strives to foster a work environment that enables all employees to contribute at the highest possible level to support the mission of the University. What starts here really does change the world. For more information about the College of Natural Sciences, please visit https://cns.utexas.edu. The university also offers an impressive benefits package. For more information, see Prospective Employee Benefits.\nPurpose The Data Analytics Engineer designs, develops, and supports integrated data solutions that enable informed decisionmaking 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.\nWorking 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.\nResponsibilities Data Analytics and Data Engineering\nDevelops, codes, validates, and implements relational databases and integrated data structures that support analytics.\n\nCollaborates with functional partners to collect business requirements and develop and refine business logic.\n\nCollaborates with technical partners to locate, clean, and orchestrate source data.\n\nCrafts code for the translation and transformation of functional business logic into a high-scale database environment that can readily support the production of descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other tools to support University decision-making.\n\nUnderstands how to best design database structures for meaningful data visualizations and interactive tools.\n\nEngages 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.\n\nApplies creativity and flexibility to finding solutions for new institutional data challenges.\n\nAssists with special projects and ad hoc data requests as needed.\n\nCollaboration, Communication, & Institutional Knowledge\nWorks both independently and collaboratively with cross-functional teams to develop exceptional data products to meet university needs.\n\nParticipates in data project lifecycle - from conception, requirements gathering and design, documentation, development and testing through deployment.\n\nEngages and communicates with partners and stakeholders to manage requests, expectations, and deliverables.\n\nEffectively communicates project status, progress, risks, and issues to drive project to completion.\n\nDevelops an in-depth knowledge of university data processes and technologies.\n\nHandles confidential information with tact and discretion.\n\nRequired Qualifications Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.\n\nStrong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data.\n\nExcellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts.\n\nProven 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.\n\nAbility to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting.\n\nProven prioritization and organizational skills with the ability to handle multiple projects simultaneously.\n\nExcellent written and verbal communication skills, critical thinking and creative problem-solving, and attention to detail.\n\nDemonstrated ability to maintain a high level of professionalism.\n\nRelevant education and experience may be substituted as appropriate.\nPreferred Qualifications Experience working in a higher education or research environment.\n\nFamiliarity with institutional data domains (e.g., student, enrollment, research, finance, HR).\n\nExperience working with cloud data platforms or analytics services and PostgreSQL environments.\n\nExperience supporting business intelligence or analytics tools (e.g., Power BI, Tableau).\n\nKnowledge of data governance, stewardship, and compliance in higher education.\n\nExperience collaborating across decentralized organizations.\n\nFamiliarity with UT Austin's administrative computing environment.\n\nExperience with metadata management software.\n\nSalary Range $80,000 + depending on qualifications\nWorking Conditions May work around standard office conditions.\n\nRepetitive use of computer equipment.\n\nHybrid/flex work options available\n\nRequired Materials Resume/CV\n\n3 work references with their contact information; at least one reference should be from a supervisor\n\nLetter of interest\n\nImportantfor applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.\nImportant for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.\n----\nEmployment Eligibility:\nRegular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ----\nRetirement Plan Eligibility:\nThe 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. ----\nBackground Checks:\nA criminal history background check will be required for finalist(s) under consideration for this position.\n----\nEqual Opportunity Employer:\nThe 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.\n----\nPay Transparency:\nThe University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.\n----\nEmployment Eligibility Verification:\nIf hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.\n----\nE-Verify:\nThe University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:\nE-Verify Poster (English and Spanish) [PDF]\nRight to Work Poster (English) [PDF]\nRight to Work Poster (Spanish) [PDF]\n----\nCompliance:\nEmployees 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). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.\nThe Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.\n\n#J-18808-Ljbffr","company":"Phase2 Technology","rawCompany":"phase2 technology","city":"Austin","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-07-15T03:21:04.559Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"611310","title":"Colleges, Universities, and Professional Schools","slug":"colleges-universities-and-professional-schools"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer - Hybrid & Data-Centric Solutions","description":"Job Posting Title:\nData Analytics Engineer, College of Natural Sciences ----\nHiring Department:\nCollege of Natural Sciences ----\nPosition Open To:\nAll Applicants ----\nWeekly Scheduled Hours:\n40 ----\nFLSA Status:\nExempt from FLSA ----\nEarliest Start Date:\nAug 01, 2026 ----\nPosition Duration:\nExpected to Continue ----\nLocation:\nUT MAIN CAMPUS ----\nJob Details:\nGeneral 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.\nThe College of Natural Sciences at UT Austin, strives to foster a work environment that enables all employees to contribute at the highest possible level to support the mission of the University. What starts here really does change the world. For more information about the College of Natural Sciences, please visit https://cns.utexas.edu. The university also offers an impressive benefits package. For more information, see Prospective Employee Benefits.\nPurpose The Data Analytics Engineer designs, develops, and supports integrated data solutions that enable informed decisionmaking 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.\nWorking 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.\nResponsibilities Data Analytics and Data Engineering\nDevelops, codes, validates, and implements relational databases and integrated data structures that support analytics.\n\nCollaborates with functional partners to collect business requirements and develop and refine business logic.\n\nCollaborates with technical partners to locate, clean, and orchestrate source data.\n\nCrafts code for the translation and transformation of functional business logic into a high-scale database environment that can readily support the production of descriptive, predictive, and prescriptive analytics and consumable reports, dashboards, and other tools to support University decision-making.\n\nUnderstands how to best design database structures for meaningful data visualizations and interactive tools.\n\nEngages 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.\n\nApplies creativity and flexibility to finding solutions for new institutional data challenges.\n\nAssists with special projects and ad hoc data requests as needed.\n\nCollaboration, Communication, & Institutional Knowledge\nWorks both independently and collaboratively with cross-functional teams to develop exceptional data products to meet university needs.\n\nParticipates in data project lifecycle - from conception, requirements gathering and design, documentation, development and testing through deployment.\n\nEngages and communicates with partners and stakeholders to manage requests, expectations, and deliverables.\n\nEffectively communicates project status, progress, risks, and issues to drive project to completion.\n\nDevelops an in-depth knowledge of university data processes and technologies.\n\nHandles confidential information with tact and discretion.\n\nRequired Qualifications Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent professional experience.\n\nStrong technical expertise in using SQL to query large databases, manipulate and validate data, implement business logic, and analyze data.\n\nExcellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts.\n\nProven 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.\n\nAbility to communicate with a wide range of stakeholders and collaborate effectively in a higher-education or enterprise setting.\n\nProven prioritization and organizational skills with the ability to handle multiple projects simultaneously.\n\nExcellent written and verbal communication skills, critical thinking and creative problem-solving, and attention to detail.\n\nDemonstrated ability to maintain a high level of professionalism.\n\nRelevant education and experience may be substituted as appropriate.\nPreferred Qualifications Experience working in a higher education or research environment.\n\nFamiliarity with institutional data domains (e.g., student, enrollment, research, finance, HR).\n\nExperience working with cloud data platforms or analytics services and PostgreSQL environments.\n\nExperience supporting business intelligence or analytics tools (e.g., Power BI, Tableau).\n\nKnowledge of data governance, stewardship, and compliance in higher education.\n\nExperience collaborating across decentralized organizations.\n\nFamiliarity with UT Austin's administrative computing environment.\n\nExperience with metadata management software.\n\nSalary Range $80,000 + depending on qualifications\nWorking Conditions May work around standard office conditions.\n\nRepetitive use of computer equipment.\n\nHybrid/flex work options available\n\nRequired Materials Resume/CV\n\n3 work references with their contact information; at least one reference should be from a supervisor\n\nLetter of interest\n\nImportantfor applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.\nImportant for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.\n----\nEmployment Eligibility:\nRegular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ----\nRetirement Plan Eligibility:\nThe 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. ----\nBackground Checks:\nA criminal history background check will be required for finalist(s) under consideration for this position.\n----\nEqual Opportunity Employer:\nThe 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.\n----\nPay Transparency:\nThe University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.\n----\nEmployment Eligibility Verification:\nIf hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.\n----\nE-Verify:\nThe University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:\nE-Verify Poster (English and Spanish) [PDF]\nRight to Work Poster (English) [PDF]\nRight to Work Poster (Spanish) [PDF]\n----\nCompliance:\nEmployees 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). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.\nThe Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.\n\n#J-18808-Ljbffr","datePosted":"2026-07-15T03:21:04.559Z","dateModified":"2026-07-15T03:21:04.559Z","hiringOrganization":{"@type":"Organization","name":"Phase2 Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"198da6dca69b6ca6389f58ca"},"url":"https://jobsearcher.com/jobs/198da6dca69b6ca6389f58ca"}}