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Job details

Research Engineer II

Job Title

Research Engineer II

Agency

Texas A&M Engineering

Department

Texas Center For Applied Technology

Proposed Minimum Salary

$5,000.00 monthly

Job Location

Bryan, Texas

Job Type

Staff

Job Description

Why work for Texas A&M Engineering?

Who we are

Texas A&M Engineering is a large employer in the great and growing cities of Bryan/College Station, offering thousands of career opportunities in a wide variety of fields. We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of respect, excellence, leadership, loyalty, integrity, and service. Texas A&M Engineering offers competitive salaries, full 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

Purpose:

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.

What is helpful:

  • 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 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.

Work Location:

  • RELLIS Campus – Bryan, TX.

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:

  • Competitive health benefits.
  • Generous paid vacation, sick time, and holidays.
  • Vision, Dental, Life, and Long-Term Disability insurance options.
  • Teachers Retirement System of Texas (TRS), a defined benefit retirement plan with 8% employer contribution.
  • Additional Voluntary Retirement Programs: Tax Deferred Account 403(b) and a Deferred Compensation Program 457(b).
  • Flexible spending account options for medical and childcare expenses
  • Robust free training access through LinkedIn Learning plus professional development opportunities.
  • Tuition assistance https://engineering.tamu.edu/information/esac/educational-assistance-programs.html
  • Wellness program release time offered to employees to promote work/life balance.

Helpful Applicant Information

Required Materials for Application:

  • Resume/CV
  • Three work references with their contact information; at least one reference should be from a supervisor/former supervisor.
  • Letter of interest

Compensation Philosophy:

  • Recruit and retain high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development.
  • Offer total rewards, flexible benefits, professional development, performance recognition and work-life balance.
  • Ensure resources are readily available and utilized to attract and retain the highest quality researchers, faculty, and staff.  

Employment Eligibility Verification

  • If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form.  You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States.  Documents need to be presented no later than the third day of employment.  Failure to do so will result in delay of start date.

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.

Average salary estimate

$65000 / YEARLY (est.)
min
max
$60000K
$70000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Research Engineer II, Texas A&M University

Are you ready to take your skills in engineering and data science to the next level? As a Research Engineer II at Texas A&M Engineering, based in Bryan, Texas, you'll be at the forefront of technology development, crafting custom software tools and advanced data models that improve decision-making processes for our clients. Here at Texas A&M, we pride ourselves on fostering a collaborative environment, where you'll work closely with cross-functional teams and interact directly with customers to ensure their product needs are met. Your days will involve designing, implementing, and testing software solutions, handling statistical analyses, and applying predictive modeling to reveal important insights. This is not just another job; it’s a chance to become a key player in an innovative team that values independent thought and technological exploration. With opportunities to explore current trends in technology and best practices in data governance, you'll never lack for stimulation or challenge. We are in search of someone who is not only knowledgeable but also curious and adaptable to the ever-changing tech landscape. If you have a Bachelor’s degree in Engineering, Science, or a related field, and at least two years of relevant experience, we want to hear from you! Join us as we work to provide high-quality, applied research solutions at Texas A&M's Center for Applied Technology, where your skills can truly shine and make a difference.

Frequently Asked Questions (FAQs) for Research Engineer II Role at Texas A&M University
What are the primary responsibilities of the Research Engineer II role at Texas A&M Engineering?

The Research Engineer II position at Texas A&M Engineering involves designing and developing software tools, creating advanced data models, and implementing algorithms that enable data-driven decision-making. You will work closely with customers and stakeholders to understand their data needs and provide actionable insights. Other key responsibilities include statistical analysis, predictive modeling, and maintaining scalable data pipelines.

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What qualifications are needed for the Research Engineer II position at Texas A&M Engineering?

To be eligible for the Research Engineer II role at Texas A&M Engineering, candidates must possess a Bachelor’s degree in Engineering, Science, or a related field, along with at least two years of relevant experience. Candidates with a Master of Science degree in Data Science, Computer Science, or Statistics, and familiarity with big data technologies, cloud platforms, and database design will stand out.

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What programming languages should a Research Engineer II at Texas A&M Engineering be proficient in?

As a Research Engineer II at Texas A&M Engineering, proficiency in programming languages such as Python, R, or Java is essential. Knowledge of machine learning frameworks like TensorFlow and scikit-learn is also important, enabling you to create effective software tools and data models.

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How does Texas A&M Engineering support the professional development of a Research Engineer II?

Texas A&M Engineering prioritizes the professional growth of its employees, including Research Engineer IIs. This includes access to robust free training through LinkedIn Learning, tuition assistance programs, and opportunities for coaching and skill development, helping you to stay current in a rapidly evolving field.

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What kind of work environment can a Research Engineer II expect at Texas A&M Engineering?

As a Research Engineer II at Texas A&M Engineering, you'll join a vibrant and collaborative work environment on the RELLIS Campus in Bryan, TX. The team's culture thrives on inclusivity and innovation, where members are encouraged to explore new technologies and methodologies to develop cutting-edge solutions.

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Common Interview Questions for Research Engineer II
What experience do you have with statistical analysis and predictive modeling?

In your response, be specific about the methods and tools you've utilized in previous roles. Highlight a particular project where your statistical analysis made a significant impact on the outcome, demonstrating your ability to uncover insights from data effectively.

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Can you describe a time when you had to work with cross-functional teams?

Focus on your collaborative approach. Provide examples of how you engaged with different departments within your organization, emphasizing any major challenges you overcame and the ultimate success of the project due to effective teamwork.

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What programming languages are you most comfortable with, and why are they important?

Talk about your proficiency in languages like Python or R, and why these choices are relevant for data modeling and analytics tasks. Mention any frameworks you've worked with and how you've applied them in real-world scenarios.

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How do you stay updated with the latest technologies and industry trends?

Share your strategies for keeping abreast of developments in your field, whether through online courses, attending webinars, or following influential thought leaders. Emphasize your commitment to continuous learning and how it applies to your work.

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What approach do you take when designing scalable data pipelines?

Discuss your understanding of the principles of designing effective ETL processes. Mention methodologies that you advocate for and provide an example where you successfully implemented a scalable solution that met demanding data requirements.

Join Rise to see the full answer
Describe a challenging problem you encountered in your previous work and how you solved it.

Select a specific instance that highlights your problem-solving abilities. Detail the problem, your thought process, the actions you took, and the outcomes, showcasing your analytical and critical thinking skills.

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What techniques do you use for data governance and compliance?

Discuss your understanding of data governance frameworks and highlight specific techniques for ensuring compliance, data quality, and security. Provide examples of situations where you implemented these practices successfully.

Join Rise to see the full answer
How would you explain a technical concept to a non-technical audience?

Emphasize the importance of clear and effective communication. Describe your approach to breaking down complex topics into simple, relatable terms and give an example where your explanation resonated with a non-technical audience.

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What are the most significant trends in data science you find fascinating?

Share your opinion on emerging trends within data science, such as AI and machine learning advancements. Discuss specific trends that have caught your interest and how they align with your work as a Research Engineer II.

Join Rise to see the full answer
Explain your experience with data visualization tools.

Talk about the data visualization tools you've used, such as Tableau or Power BI. Give examples of how you've employed these tools to create impactful visual narratives that helped stakeholders make informed decisions based on data.

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DATE POSTED
April 2, 2025

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