Research Engineer II

Why work for Texas A&M Engineering?

Engineering has been part of Texas A&M University since its opening in 1876 as the Agricultural and Mechanical College of Texas. Today, the College of Engineering is the largest college on the College Station campus with more than 25,000 engineering students enrolled in 15 departments. Its mission is to serve Texas, the nation and the global community by providing engineering graduates who are well-founded in engineering fundamentals, instilled with the highest standards of professional and ethical behavior, and prepared to meet the complex technical challenges of society.

Research Engineer II

Texas A&M Engineering

Texas Center For Applied Technology

Commensurate

Bryan, Texas

Staff

As the research arm of Engineering, the Texas A&M Engineering Experiment Station (TEES) is a state agency within the Texas A&M University System with a mission to improve lives through basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical challenges.

We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of Respect, Excellence, Leadership, Loyalty, Integrity, and Service, by offering competitive salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research, and public service.

The Research Engineer II position involves the design and development of custom software tools and advanced data models, algorithms, and analytics solutions that drive business insights, improve decision-making processes, and meet customer requirements of the Texas A&M Center for Applied Technology. Specific technical activities include evaluating project requirements to determine the best solution for a problem, designing, implementing, testing, and debugging tools and algorithms in various programming languages, developing associated software documentation, performing software support and maintenance as needed, and other related duties as assigned.

Candidates must be able to work independently as well as collaborate with cross-functional teams. Those who are self-motivated, curious, adaptive, and exercise independent thought and judgment are the primary candidates for this opportunity. Candidates should have a desire to stay abreast of changes in technology as it relates to their work, and must be able to evaluate and identify new technologies to support projects.

Candidates should be able to interface with customers to define product requirements and provide technology support as needed.

• Design, develop, test, support, and document software tools, data models and algorithms written in various programming languages. Perform statistical analysis and predictive modeling to uncover insights and trends. (50%)
• Design, build, and optimize scalable data pipelines and ETL processes. Implement data storage solutions (e.g., data lakes, warehouses) to support large-scale data processing. (20%)
• Work closely with customers, as well as other software developers and business stakeholders, to understand data requirements and deliver actionable tools and insights. Communicate findings and recommendations to both technical and non-technical audiences. (10%)
• Explore and evaluate new tools, technologies, and methodologies to enhance data science capabilities. Identify and implement best practices for data governance, security, and compliance. (10%)
• Other duties as assigned. (10%)

• Bachelor’s degree in Engineering, Science or related field or equivalent combination of education and experience.
• Two years of related experience.

• Master of Science degree in Data Science, Computer Science or Statistics, or an accredited Bachelor of Science degree in Data Science, Computer Science or Statistics with an equivalent combination of relevant training and experience.

• Experience…