Data Engineering Course Office Hours Host (Part-Time/Flexible/Remote)

Remote

Part Time Contract
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Posted 2 weeks ago

Springboard runs an online Data Engineering Career Track in which participants learn with the help of a curated, project-based curriculum and 1-1 guidance from an expert mentor.
As part of the program, students have access to a variety of different resources which includes weekly Office Hours with a Data Engineer.
Data Engineering Career Track is a 6-month intensive bootcamp and we are looking for an Office Hours Host to help support students outside of their mentor calls.

Requirements

  • Host and facilitate weekly 30-minute Zoom video call sessions to students (the time commitment will be 30 minutes/week)
  • Provide high quality responses to technical/curricular questions in each office hour
  • Each Office Hour will be 30 minutes long, sessions will either be a QA format or alumni can present their completed projects.
  • The OH Host will be expected to be familiar with Springboard support and the curriculum.
  • Welcome each cohort of students and regularly share relevant events, resources, articles with the students during the session.

Requirements

  • Are as passionate about teaching Data Engineering as about Data Engineering itself
  • Have at least 3 years of experience as a Data Engineer or Data Developer or related fields (Machine Learning, Data Scientist, etc)
  • Azure cloud experience preferred
  • Professional experience with SQL and an OOP language like Python or Java
  • Have an excellent understanding of fundamental data engineering skills, tools, and concepts including working with Big Data (Hadoop, Spark), Cloud platforms (AWS, Azure), building data pipelines (batch/streaming, APIs), orchestration (Airflow), and containerization (Kubernetes, Docker).
  • Are empathetic and have excellent communication skills, able to break down complex concepts for beginners

More details

  • Completely online and self-paced. Coursework is ~200 hours and on average, students finish it in 6 months.
  • Participants in this course are working professionals and college students from all over the world, interested in getting started with data science.
  • Participants learn about Data Engineering with the help of a curated online curriculum and a personal mentor. They go through the curriculum at their own pace and have a weekly 30-minute checkin with their mentor to discuss questions, projects, and career advice!
The Springboard team of 180 works out of offices in the heart of San Francisco and Bengaluru. We’re backed by top investors, including Costanoa Ventures, Reach Capital, Learn Capital, Pearson Ventures, and the founders of LinkedIn and Princeton Review.
Working with us, you’ll enjoy competitive compensation and an opportunity to impact thousands of lives alongside a fun, dedicated and mission-driven team. To learn more about our team and culture, follow us on Instagram @springboardlife!
Job tags: Airflow AWS Big Data Engineering Hadoop Java Kubernetes Machine Learning Python Spark SQL
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