Job Title
Research Engineer IIAgency
Texas A&M EngineeringDepartment
Texas Center For Applied TechnologyProposed Minimum Salary
CommensurateJob Location
Bryan, TexasJob Type
StaffJob Description
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.
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.
Job Description
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.
Responsibilities:
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%)
What we need:
Bachelor’s degree in Engineering, Science or related field or equivalent combination of education and experience.
Two years of related experience.
Preferred Education:
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.
What is helpful:
Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
Experience with database design (e.g., SQL, NoSQL, etc.).
Experience with data visualization tools (e.g., Tableau, Power BI, Grafana, etc.).
Knowledge, Skills, and Abilities:
Proficiency in programming languages such as Python, R, or Java.
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn).
Proficiency with software development tools (e.g., VS Code, Jira, Jenkins, etc.).
Excellent problem-solving and critical-thinking abilities.
Strong communication and interpersonal skills.
Proven ability to work effectively in a fast-paced, collaborative environment.
Competencies:
Ability to maintain the security and integrity of critical infrastructure, which may include communications systems, computer networks and systems, cybersecurity systems, electrical grid, hazardous waste treatment system or water treatment system.
About the Texas A&M Center for Applied Technology
The Texas A&M Center for Applied Technology (TCAT) provides high quality, applied research and development of pragmatic solutions to address the unique and critical needs of its customers. TCAT’s primary mission is the development, delivery, and insertion of technology to solve targeted problems, engaging the entire continuum of research from basic to applied. The TCAT team encompasses a wide array of expertise ranging from software and systems engineering, to user experience and visual/graphical design. Through utilization of a unique mix of knowledge and skills, TCAT can span interdisciplinary boundaries and couple its research strengths with proven capabilities and capacity to accomplish targeted challenges.
Texas A&M Engineering provides an outstanding benefits package including but not limited to:
Helpful Applicant Information
Required Materials for Application:
Applications received by Texas A&M Engineering must have all required job application data entered.
Failure to provide all job application data could result in an invalid submission and a rejected application.
Compensation Philosophy:
Employment Eligibility Verification
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.
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