Data Engineer I

Job Posting Title: Data Engineer I ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt from FLSA ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: UT MAIN CAMPUS ---- Job Details: General Notes The Data Engineer I designs, builds, and maintains scalable healthcare data solutions that support clinical, operational, research, and enterprise analytics initiatives. This role partners with data scientists, analysts, software engineers, and clinical informatics teams to develop secure, reliable, and high-performing data pipelines and infrastructure that enable data-driven decision-making across Dell Medical School and UT Health Austin. Important Employment Information This position is not eligible for employer-sponsored work authorization. Applicants requiring current or future visa sponsorship are not eligible for employment in this position. Purpose The Data Engineer I is responsible for designing, building, and optimizing healthcare data pipelines and supporting enterprise data infrastructure. This role collaborates with cross-functional teams to develop scalable data solutions, improve data accessibility, ensure data quality, and support analytics, reporting, clinical operations, research, and strategic decision-making across the organization. Responsibilities Designs and Maintains Data Pipelines Design, build, and maintain scalable data pipeline architecture supporting structured and unstructured healthcare data Assemble large, complex datasets that meet functional and non-functional business requirements Develop scalable ETL/ELT pipelines utilizing SQL and AWS big data technologies Optimize pipeline performance for scalability, latency, throughput, and fault tolerance Ensure data pipelines comply with HIPAA and organizational data governance standards Develops and Manages Data Infrastructure Build infrastructure supporting extraction, transformation, and loading of data from diverse healthcare sources Develop and maintain enterprise data lakes, data warehouses, and data marts utilizing platforms such as Snowflake, Amazon Redshift, or Google BigQuery Configure cloud-based storage and compute environments across AWS, Azure, and Google Cloud Platform Implement schema design, indexing, partitioning, and infrastructure optimization strategies Support high availability, disaster recovery, and business continuity planning Enables Analytics and Data Science Develop data tools supporting analytics, reporting, and data science initiatives Create reusable components supporting dashboards, reporting, and data products Build data models and curated datasets for analysts and data scientists Enable self-service analytics through standardized datasets and data models Collaborate with stakeholders to define key performance indicators (KPIs) and organizational metrics Improves Internal Processes and Scalability Identify, design, and implement internal process improvements Automate manual processes and optimize enterprise data delivery Improve infrastructure scalability, performance, and maintainability Refactor legacy data solutions to improve efficiency Develop and support CI/CD pipelines for data engineering workflows Collaborates Across Teams Partner with executive leadership, product teams, analysts, software engineers, data scientists, and clinical informatics teams to support enterprise data initiatives Translate business requirements into scalable technical solutions Support cross-functional projects and Agile development teams Communicate technical concepts effectively to both technical and non-technical stakeholders Mentor junior data engineering team members as appropriate Ensures Data Governance and Security Support enterprise data governance, security, and regulatory compliance initiatives Implement data validation, anomaly detection, and data quality monitoring processes Collaborate with data governance teams to enforce organizational standards and policies Audit data for completeness, accuracy, consistency, and timeliness Support data stewardship and master data management initiatives Marginal or Periodic Functions Conduct training sessions supporting enterprise data tools and platforms Participate in vendor evaluations and proof-of-concept initiatives Support data integration activities for organizational growth initiatives Assist with disaster recovery exercises and business continuity planning Support grant-funded research initiatives requiring enterprise data support Perform related duties as assigned Knowledge, Skills, and Abilities Technical Learning Quickly learn new technologies, cloud platforms, healthcare data standards, and enterprise data engineering tools Apply healthcare interoperability standards such as HL7 and FHIR where appropriate Maintain current knowledge of cloud platform capabilities and emerging technologies Continuously improve technical skills through professional development Problem Solving Diagnose and resolve complex data pipeline and integration challenges Design scalable solutions supporting enterprise healthcare data initiatives Apply analytical methods to validate data quality and integrity Develop practical solutions that improve operational efficiency and system performance Functional/Technical Skills Develop efficient SQL, Python, and other programming solutions supporting enterprise data processing Configure cloud infrastructure supporting secure and scalable data workloads Design secure, compliant healthcare data architectures Build and maintain enterprise data pipelines supporting analytics and reporting Dealing with Ambiguity Adapt effectively to changing priorities, technologies, and organizational needs Design flexible data models supporting evolving clinical and operational requirements Navigate incompl