The University of Texas at Austin
Data Engineer, Paydarfar Lab
The University of Texas at Austin, Austin, Texas, us, 78716
Job Posting Title:Data Engineer, Paydarfar Lab
----Hiring Department:Department of Neurology
----Position Open To:All Applicants
----Weekly Scheduled Hours:40
----FLSA Status:Exempt
----Earliest Start Date:Immediately
----Position Duration:Expected to Continue Until Aug 26, 2025
----Location:AUSTIN, TX
----Job Details:General NotesThe Department of Neurology at the Dell Medical School is looking for a Data Engineer.One-year fixed term appt renewable based on funding, performance and business need.PurposeThe Paydarfar Lab is looking for an R&D Infrastructure / Data Engineer. The data engineer will help develop and maintain a data platform to capture, analyze, and visualize disparate data streams related to cognitive disease states.ResponsibilitiesDevelopment & DesignDevelop and implement a robust, secure, HIPAA-compliant, cloud-based data warehouse infrastructure capable of ingesting data streams from various sources, including wearable sensor data, hospital monitoring systems, electronic medical record (EMR) systems, and cognitive and behavioral assessments.
Develop extract, transform, and load (ETL) procedures to capture time-synchronized streams from different sources, including wearable devices and hospital EMR systems.
Design and automate ETL solutions for data cleansing, preparation, data validation, and related processes
Construct warehouse infrastructure to allow for automated feature extraction and population-based analysis retrospectively.
Adaptation & MaintenanceAdapt ETL procedures to evolving data models and business needs.
Adapt ETL procedures in response to data quality assurance findings.
Communication & CollaborationPartner with key stakeholders, including clinicians, cognitive and behavioral therapists, physiologists, data modelers, and other teammates
Provide documentation for institutional knowledge retention
Develop and maintain timelines in coordination with PIs and Core leads
Collaborate with PIs and project investigators to prepare methodological notes, reports, presentations, and other dissemination activities related to the project activities.
Assist in training project staff and research assistants who may be helping with data collection.
Help to facilitate project collaborations and teamwork.
Other related duties as assigned.
Required Qualifications
BS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. Two years of experience designing and implementing data warehouse infrastructure and ETL solutions for complete data models using multiple data sources. Two years of experience with Python, SQL, or equivalent programming languages. Strong communication and collaboration skills and good documentation habits. Demonstrated experience with orchestration and automation of database processes. Strong aptitude for troubleshooting and problem solving. Team player, comfortable communicating cross-functionally and across management levels. Self-motivated and able to organize work independently in a rapidly changing environment.
Relevant education and experience may be substituted as appropriate.Preferred Qualifications
Graduate degree in computer science or related field with five years of professional experience. Some experience with life sciences or medical systems. Three years of experience working in a cloud-based data warehouse environment. Experiment with multiple types of databases. Experience with time-series data structures and analytics. Experience with ETL procedures and mobile/wearable devices. Cloud platform certification (e.g., AWS). Experience with issue tracking systems (e.g., JIRA).Salary Range
$80,000+ depending on qualificationsWorking Conditions
May work around standard office conditions
Repetitive use of a keyboard at a workstation
Use of manual dexterity
Required Materials
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Important
for 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.Important 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.----Employment Eligibility:Regular 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.
----Retirement Plan Eligibility: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.
----Background Checks:A criminal history background check will be required for finalist(s) under consideration for this position.----Equal Opportunity Employer: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.----Pay Transparency:The 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.----Employment Eligibility Verification:If 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.----E-Verify:The 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:E-Verify Poster (English) [PDF]E-Verify Poster (Spanish) [PDF]Right To Work Poster (English) [PDF]Right To Work Poster (Spanish) [PDF]----Compliance: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). 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.The 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.
----Hiring Department:Department of Neurology
----Position Open To:All Applicants
----Weekly Scheduled Hours:40
----FLSA Status:Exempt
----Earliest Start Date:Immediately
----Position Duration:Expected to Continue Until Aug 26, 2025
----Location:AUSTIN, TX
----Job Details:General NotesThe Department of Neurology at the Dell Medical School is looking for a Data Engineer.One-year fixed term appt renewable based on funding, performance and business need.PurposeThe Paydarfar Lab is looking for an R&D Infrastructure / Data Engineer. The data engineer will help develop and maintain a data platform to capture, analyze, and visualize disparate data streams related to cognitive disease states.ResponsibilitiesDevelopment & DesignDevelop and implement a robust, secure, HIPAA-compliant, cloud-based data warehouse infrastructure capable of ingesting data streams from various sources, including wearable sensor data, hospital monitoring systems, electronic medical record (EMR) systems, and cognitive and behavioral assessments.
Develop extract, transform, and load (ETL) procedures to capture time-synchronized streams from different sources, including wearable devices and hospital EMR systems.
Design and automate ETL solutions for data cleansing, preparation, data validation, and related processes
Construct warehouse infrastructure to allow for automated feature extraction and population-based analysis retrospectively.
Adaptation & MaintenanceAdapt ETL procedures to evolving data models and business needs.
Adapt ETL procedures in response to data quality assurance findings.
Communication & CollaborationPartner with key stakeholders, including clinicians, cognitive and behavioral therapists, physiologists, data modelers, and other teammates
Provide documentation for institutional knowledge retention
Develop and maintain timelines in coordination with PIs and Core leads
Collaborate with PIs and project investigators to prepare methodological notes, reports, presentations, and other dissemination activities related to the project activities.
Assist in training project staff and research assistants who may be helping with data collection.
Help to facilitate project collaborations and teamwork.
Other related duties as assigned.
Required Qualifications
BS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. Two years of experience designing and implementing data warehouse infrastructure and ETL solutions for complete data models using multiple data sources. Two years of experience with Python, SQL, or equivalent programming languages. Strong communication and collaboration skills and good documentation habits. Demonstrated experience with orchestration and automation of database processes. Strong aptitude for troubleshooting and problem solving. Team player, comfortable communicating cross-functionally and across management levels. Self-motivated and able to organize work independently in a rapidly changing environment.
Relevant education and experience may be substituted as appropriate.Preferred Qualifications
Graduate degree in computer science or related field with five years of professional experience. Some experience with life sciences or medical systems. Three years of experience working in a cloud-based data warehouse environment. Experiment with multiple types of databases. Experience with time-series data structures and analytics. Experience with ETL procedures and mobile/wearable devices. Cloud platform certification (e.g., AWS). Experience with issue tracking systems (e.g., JIRA).Salary Range
$80,000+ depending on qualificationsWorking Conditions
May work around standard office conditions
Repetitive use of a keyboard at a workstation
Use of manual dexterity
Required Materials
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Important
for 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.Important 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.----Employment Eligibility:Regular 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.
----Retirement Plan Eligibility: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.
----Background Checks:A criminal history background check will be required for finalist(s) under consideration for this position.----Equal Opportunity Employer: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.----Pay Transparency:The 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.----Employment Eligibility Verification:If 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.----E-Verify:The 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:E-Verify Poster (English) [PDF]E-Verify Poster (Spanish) [PDF]Right To Work Poster (English) [PDF]Right To Work Poster (Spanish) [PDF]----Compliance: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). 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.The 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.