Lubbock
45970BRNational Wind Institute
Position DescriptionThe data engineer will design, develop, and manage data infrastructure that powers insights. This role is crucial in transforming raw data into actionable intelligence. Collaborate closely with cross-functional teams to build robust data pipelines and infrastructure that enable data-driven decisions.
About the UniversityFounded in 1923, Texas Tech University began with a mission to serve the needs of West Texas, but its impact has always reached far beyond. Today, Texas Tech, located in Lubbock (pop. 300,000+), is home to a vibrant community of more than 42,000 students. Texas Tech's 1,800-acre campus showcases Spanish Renaissance architecture and is home to one of the country's largest public art collections. Its 13 colleges include a prestigious School of Law and a distinguished School of Veterinary Medicine. These programs equip students with the skills and knowledge needed to excel in their respective fields. Built on the values of West Texas - hard work, grit and authenticity - the university graduates students who are deeply engaged in service to their communities and well-positioned to succeed in the world. Texas Tech is committed to achieving research and scholarly accomplishments that compare favorably to the member institutions of the Association of American Universities (AAU). For more than 100 years, Texas Tech has been a premier destination for those seeking a world-class education and a unique, personalized experience as a member of the Red Raider family.
About the Department and/or CollegeThe National Wind Institute (NWI) has evolved from its traditional singular focus on wind hazards to three main research pillars of Energy Systems, Atmospheric Measurement & Simulation, and Wind Engineering. Though all three of these pillars focus on distinct issues, they also maintain common ground via cross cutting themes. All research seeks to benefit communities at micro and macro scales.
Major/Essential FunctionsResearch-to-Production Engineering- Collaborate with researchers and data scientists to transform prototype algorithms, analytical workflows, proof-of-concept software, and research applications into scalable, maintainable, production-grade systems. Refactor, integrate, optimize, test, deploy, and support research software throughout its lifecycle.
Cloud Architecture & Backend Infrastructure- Design, implement, and maintain scalable, highly available AWS cloud architecture, backend services, and cloud-native applications supporting real-time and batch measurement, modeling, and scientific data systems.
- Design software architectures that balance scalability, reliability, maintainability, operational simplicity, and cloud cost.
Data Platform & Processing- Develop, operate, and optimize automated workflows for high-frequency data ingestion, validation, quality control, transformation, post-processing, historical reprocessing/backfills, archival, and distribution.
- Design systems that support evolving scientific workflows while maintaining reliable production operations.
System Integration & Applications- Integrate research software, backend services, databases, APIs, web applications, dashboards, and cloud services into cohesive production systems.
- Design and maintain secure APIs and backend services supporting researchers, operational users, external partners, and public-facing applications.
- Support refinement and production deployment of user-facing applications developed during research projects, including web interfaces and dashboards when needed.
Reliability & Operations- Ensure production systems remain reliable, observable, secure, and maintainable through monitoring, logging, alerting, incident response, backups, disaster recovery, and continuous operational improvement.
- Deploy, operate, and optimize applications and services using AWS best practices.
Collaboration & Software Lifecycle- Work closely with researchers, scientists, engineers, and operational stakeholders to translate scientific requirements into robust software solutions.
- Lead software through the complete lifecycle including architecture, implementation, testing, deployment, documentation, maintenance, and continuous improvement.
Driving to attend meetings related to job functions is required.
Required QualificationsBachelor's degree in computer science, software engineering, information technology or a related field. Three years of related experience.
This position requires eligibility to drive TTU vehicles, including a valid U.S. driver license and two years of driving experience.
This position is designated as involving access to critical infrastructure systems and/or research, as defined by Texas Executive Order GA-48. As such, candidates must successfully complete a comprehensive background check prior to employment. Employees are required to comply with all applicable state and federal regulations related to the protection of critical infrastructure. Ongoing employment is dependent upon maintaining eligibility for access and successfully passing periodic security and compliance reviews.
Preferred Qualifications- Experience working closely with researchers or data scientists in a research-to-production environment.
- Experience with real-time or event-driven architectures.
- Experience with scientific computing, modeling systems, engineering applications, or environmental data systems.
- Familiarity with time-series databases, data lakes, infrastructure as code, containerization, and cloud observability tools.
- Experience developing or supporting web applications, dashboards, or scientific visualization tools.
- Experience with geospatial, atmospheric, environmental, or engineering datasets.
- Advanced degree in Computer Science, Engineering, Atmospheric Science, or a related field.
Pay Range$86,800 - $112,900 - $138,900
To apply, visit workattexastech.comAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran. je-e4379cee9d364fc8aef09f928ae7de65
