Data Engineer NWI

44988BR

Extended Job Title:

Data Engineer NWI

Position Description:

The 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.

Requisition ID:

44988BR

Optional Attachments:

Professional/Personal Reference, Recommendation/Referral, Other Documents Supporting Qualifications

Travel Required:

Up to 25%

Major/Essential Functions:

• Cloud Architecture and Backend Infrastructure: Design, implement, and maintain scalable, high-availability AWS cloud architecture and backend systems for real-time and batch data pipelines, storage, and processing supporting measurement and modeling operations.

• Data Pipelines, Processing and Quality Control: Develop, operate, and optimize automated workflows for data ingestion, validation, quality control, transformation, post-processing, reprocessing/backfills, archival, and distribution of high-frequency/large-scale datasets.

• Data Access, APIs and Applications: Design and maintain RESTful APIs, web applications, dashboards, and data access tools to enable secure visualization, analysis, and distribution of processed data and modeling products to researchers, partners, and stakeholders.

• Reliability, Monitoring and Operations: Ensure system reliability, observability, security, and performance through monitoring, alerting, incident response, backups, disaster recovery, and cost-optimized operations.

• Collaboration and Development Lifecycle: Collaborate with researchers and stakeholders to translate scientific/operational requirements into technical solutions; manage the full software development lifecycle including requirements, design, implementation, testing, deployment, documentation, and ongoing support.

Grant Funded?:

Yes

Pay Basis:

Monthly

Schedule Details:

generally M-F; 7:30am - 4:00pm

Work Location:

Lubbock

Preferred Qualifications:

Experience with real-time/event-driven architectures and operational modeling or scientific data workflows. Familiarity with time-series databases, data lakes, infrastructure as code, observability tools, and containerization.

Experience with geospatial, atmospheric, environmental, or other scientific/engineering datasets. Knowledge of web application development, dashboards, or basic mobile app integration (iOS/Android). Ph.D. or advanced degree in Computer Science, Engineering, Atmospheric Science, or a related field.

Cloud architecture, AWS services, backend software development, largescale data pipeline design, API development, database management, time-series and scientific data workflows, system monitoring, cybersecurity, CI/CD, version control, containerization, and infrastructure automation. The ideal candidate will also have experience working with geospatial, atmospheric, environmental, or engineering datasets and the ability to translate research and operational needs into reliable, scalable, production-grade technical systems.

Department:

National Wind Institute

Required Attachments:

Cover Letter, Resume / CV

Job Type:

Full Time

Shift:

Day

Required Qualifications:

Bachelor’s degree in computer science, software engineering, information technology or a related field. Three years of related 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.

Does this position work in a research laboratory?:

No

Safety Information:

Adherence to robust safety practices and compliance with all applicable health and safety regulations are responsibilities of all TTU employees.

Pay Statement:

Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as the institutional pay plan.

EEO Statement:

All 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.

About the University:

Founded 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.

Job Family:

Information Technology

Job Sub Family:

IT Generalist

Knowledge, Skills, and Abilities:

Significant experience in backend or data platform engineering. Strong experience building scalable, production-grade backend services and APIs (Java and/or Python preferred). Proven experience designing, implementing, and operating large-scale data pipelines, including data validation, quality control, reprocessing, backfills, and handling high-frequency/time-series datasets. Solid experience with AWS cloud services (e.g., S3, Lambda, EC2, and related tools) and cloud architecture best practices. Strong knowledge of API design, distributed systems, version control, CI/CD, and modern development workflows. Demonstrated ability to build and maintain reliable, observable, and secure production systems.

Annualized Pay Range:

$86,800 - $112,900 - $138,900