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  • Emplois similaires à : Data Engineer Manager
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Data Engineer ManagerUniversity of Texas at Austin • United States
Postuler Maintenant
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Data Engineer Manager

University of Texas at Austin
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

Job Posting Title: Data Engineer Manager
---- Hiring Department: Dell Medical School
---- Position Open To: All Applicants
---- Weekly Scheduled Hours: 40
---- FLSA Status: Exempt
---- Earliest Start Date: Immediately
---- Position Duration: Expected to Continue
---- Location: AUSTIN, TX
---- Job Details: Purpose
The Data Engineer Manager leads a team of data engineers responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support clinical, operational, and financial analytics across the healthcare system. This role collaborates closely with data scientists, software engineers, business intelligence analysts, and clinical informatics teams to ensure data is accessible, accurate, and secure. Reporting to the Director of Data Systems and Analytics, the position plays a critical role in enabling data-driven decision-making and innovation in a complex healthcare environment. Responsibilities
Data Architecture & Pipeline Management Designs and oversees scalable data pipelines for structured and unstructured data across clinical, operational, and financial systems.
Manages ETL/ELT processes using tools such as Apache Spark, Kafka, Airflow, and other modern orchestration platforms.
Ensures data integrity, availability, and performance across cloud and on-premise platforms.
Implements and maintains data lake and warehouse solutions (e.g., Snowflake, BigQuery, Redshift).
Collaborates with infrastructure and application teams to optimize data flow and storage.
Team Leadership & Development Recruits, mentors, and manages a team of data engineers, fostering a high-performance and inclusive team culture.
Conducts performance evaluations, sets development goals, and supports career progression.
Promotes collaboration, innovation, and continuous learning through team meetings, code reviews, and knowledge-sharing sessions.
Aligns team goals with organizational priorities and strategic initiatives.
Ensures adherence to engineering best practices and coding standards.
Stakeholder Collaboration & Requirements Gathering Works closely with clinical, operational, and financial stakeholders to define data needs and translate business requirements into technical specifications.
Facilitates cross-functional communication between IT, analytics, clinical informatics, and business intelligence teams.
Leads discovery sessions and data mapping exercises to ensure alignment between data engineering deliverables and business objectives.
Supports the development of dashboards, reports, and predictive models by enabling access to clean, well-structured data.
Data Governance & Compliance Ensures adherence to HIPAA, HITECH, and internal data governance policies, including data privacy and security protocols.
Implements data security measures, access controls, and encryption standards across all data platforms.
Supports audit readiness and regulatory reporting by maintaining accurate metadata and lineage documentation.
Collaborates with data governance and compliance teams to establish and enforce data quality standards.
Strategic Planning & Innovation Contributes to the development and execution of the enterprise data strategy and roadmap.
Evaluates emerging technologies and recommends adoption to improve scalability, performance, and cost-efficiency.
Aligns data engineering initiatives with strategic goals of the healthcare system, including population health, value-based care, and operational excellence.
Participates in long-term planning for data infrastructure modernization and cloud migration.
Budget & Resource Management Manages the data engineering team's operational budget, including software licenses, cloud services, training, and professional development.
Tracks resource utilization and optimizes operational efficiency through capacity planning and workload balancing.
Supports vendor selection, contract negotiations, and license renewals for data platforms and tools.
Provides input into capital planning and technology investment decisions.
Marginal or Periodic Functions: Participates in enterprise-wide data governance committees.
Presents at internal and external conferences or forums.
Assists in grant writing or research data infrastructure proposals.
Conducts periodic system performance audits.
Adheres to internal controls and reporting structure.
Performs related duties as required.
Knowledge/Skills/Abilities
Manages Complexity Breaks down ambiguous problems into manageable components.
Uses multiple data sources to inform decisions.
Designs scalable solutions for evolving data needs.
Tech Savvy Evaluates and integrates new tools (e.g., cloud platforms).
Encourages experimentation and innovation.
Maintains fluency in modern data engineering stacks.
Collaborates Facilitates cross-functional meetings.
Resolves conflicts constructively.
Shares credit and fosters team cohesion.
Plans and Aligns Develops clear project plans and milestones.
Communicates expectations effectively.
Adjusts plans based on feedback and performance.
Ensures Accountability Tracks progress and outcomes.
Provides timely feedback.
Establishes clear roles and responsibilities.
Strategic Mindset Anticipates future data needs.
Aligns technical decisions with business strategy.
Identifies long-term opportunities for data innovation.
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, or related field. 10 years of experience in data engineering or data architecture including designing data architectures, developing data pipelines, implementing data quality, and performance monitoring. 2 years of experience in a technical leadership or team lead role with a track record of delivering complex data projects and mentoring junior engineers in a fast-paced department. Experience in healthcare data systems (e.g., EHR, claims, HL7, FHIR). Relevant education and experience may be substituted as appropriate. Preferred Qualifications
Master's degree in Data Science, Engineering, or Healthcare Informatics. 7+ years of progressive experience in data engineering. Experience with cloud platforms (e.g., GCP, AWS, Azure). Salary Range
$135,000+ depending on qualifications Working Conditions
Standard office conditions. 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 and 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. Required
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  • United States

Compétences linguistiques

  • English
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