"Data Analytics and/or Software Development Instructor - ADJUNCT"

Green River College is seeking an Adjunct (Part-Time) Instructor to join our team and teach courses in Data Analytics and/or Software Development.

We seek instructors with a passion for technology, a love for teaching, and a desire to broaden participation in computing. Our instructors strive to inspire and motivate students to learn and to reach their full potential.

ABOUT THE COLLEGE:
Green River College has four locations, including the main campus in Auburn and satellite learning centers in Kent, downtown Auburn, and Enumclaw. Green River programs serve high school graduates, high school completion students, Running Start students (dual enrollment in local high schools and the college), those seeking retraining for the workforce, international students, students learning English, and Continuing Education students. Green River's service areas are increasingly diverse. This includes minoritized and marginalized communities, and the increasingly diverse populations that make up Green River's community.

COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION:
At Green River College, we recognize the importance of identities, intersectionalities and revolving communities. Green River College honors the vast and growing needs of all our communities. We value all people, their livelihoods and experiences. We are responsive to prioritizing and centralizing the voices and representation of all people and ways of being. Green River College is committed to enhancing and supporting a diverse campus environment, incorporating principles of equity in order to promote inclusive practices. Green River College encourages applications from faculty, staff, and administrators with demonstrated experience and expertise in supporting, sustaining, and serving people from a wide range of backgrounds and collaborating effectively with others.

The Adjunct (Part-Time) Instructor will teach courses in Data Analytics and/or Software Development and:

• Create an environment where students can feel safe and can collaborate effectively with, and learn from, their peers.
• Share what you are passionate about with your students.
• Understand the challenges faced by underrepresented groups and work proactively to address those challenges.
• Contribute to a dynamic and committed team of faculty and staff by sharing your ideas, innovations, and successes.
• Take feedback from students and peers as an opportunity to learn and grow as an instructor.

Green River College offers courses in Data Analytics and Software Development at a variety of levels for a wide range of students including:

• Introductory to intermediate web development courses (HTML, CSS, JavaScript, PHP)
• Introductory to intermediate programming courses (Python, Java)
• Introductory data analytics courses (Python, SQL)
• Courses on modern software frameworks (Spring Boot, ASP.NET)
• Project-based learning courses, such as capstone courses
• A technical career preparation course

Minimum Qualifications:

• Have a bachelor's degree from a regionally accredited institution
• Have knowledge/proficiency in the areas in which you would like to teach (HTML/CSS, JavaScript, PHP, Python, Java, SQL, C#, technical career search).
• Have knowledge of the issues involving the underrepresentation of women and marginalized groups in computing education and in the tech industry.

Preferred Qualifications:

• Master's degree in information Technology, Computer Science, Data Science, Software Engineering, or related field.
• Teaching/training experience in hands-on learning environments.
• Team leadership experience on a technical team
• Experience with practicing inclusive leadership and fostering an inclusive culture
• Three years of relevant work experience during the past five years

Green River College welcomes faculty who have a commitment to excellence in teaching and the ability to utilize a variety of methods and modes of instruction to ensure student success. Given the diversity of our student population, we encourage applications from faculty who can adapt teaching methods to a wide range of student backgrounds and interests.