Posted a month ago

Location: Remote
Start of course: ASAP
End-of-course date: July 22, 2022
Time Zone: 9-5 MT


  • Experience building and deploying production data processing pipelines
  • Experience with Linux and Shell scripting
  • Excellent Python and PostgreSQL development, debugging and data modeling skills
  • Experience with data analysis and visualization using Python packages i.e. NumPy, Pandas, Matplotlib, etc.
  • Experience setting up new data sources and migrating data as well as establishing or fine tuning ETL/ELT processes using industry recognized technologies i.e. Amazon Redshift, etc.
  • Experience with PySpark and Spark SQL
  • Experience with Docker
  • Demonstrable proficiency with enterprise Business Intelligence tools, i.e. Tableau
  • Ability to respond with clarity to live digital conversations via a digital engagement platform such as Zoom.
  • Strong communication skills


  • Experience with Git and version control
  • Experience with Spark, Hadoop and similar frameworks
  • Experience with Kubernetes and AWS cloud technology

What You’ll Do

  • Support instructor-led training that prepares students for entry-level to mid-level careers in Data Engineering. Responsibilities include daily instruction, assessment administration, attendance, one-on-one tutoring, daily evaluation and monitoring of individual student progress, addressing student violations with students in a consistent manner, and more
  • Provide students with access to relevant resources for outside learning on technologies and study aids relevant to the curriculum
  • Work closely with the team to identify student needs, provide the necessary support, establish individualized plans for student achievement, and participate in regular student-status meetings.
  • Maintain and update Salesforce and/or our LMS with student grades, certification, scores, and progress notes.
  • Support and maintain the training curricula, syllabi, lesson plans, and any other classroom materials.

Personal Characteristics

  • You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission.
  • You are data-driven, result-oriented and a forward-looking catalyst for social change.
  • You have a collaborative and flexible work style. You’re excited to work cross-functionally with other departments and independently.
  • You are an effective communicator with strong oral and written skills.
  • You are tech-savvy and can learn fast.
  • You are strong at managing your time and you can balance multiple projects and tasks.
  • You stand behind our mission, believing that individuals from any community should be able to access well-paying career positions, and that talent should be recognized and recruited from many diverse sources.


We believe our staff is the heart and soul of the organization. Our workplace culture is challenging, supportive, collaborative and mission-driven. We take a genuine interest in career paths and work-life balance, and welcome contributing ideas from staff at all levels. Working at Per Scholas means working somewhere full of engaging, savvy, diverse people who care deeply about pushing our work forward.

You’ll enjoy a welcoming and casual professional environment, self-development opportunities, innovative technology, and benefits like health care and a 401K match. If you want to work in a progressive organization, where you can build something meaningful and have fun while doing it, we would love to hear from you.


Per Scholas is a national organization that has been advancing economic mobility for more than 25 years. Through rigorous training, professional development, and robust employer connections, we prepare individuals traditionally underrepresented in technology for high-growth careers in the industry. We partner with leading employers to build more diverse talent pools, directly connecting our graduates to new career opportunities at businesses ranging from Fortune 500 companies to innovative startups. With campuses in 17 cities, Per Scholas has trained more than 16,000 individuals in tech skills, building bridges to careers in technology. To learn more, visit and follow us on LinkedIn, Twitter, Facebook, and Instagram.


If you have any questions about this role, please feel free to email our Talent team at We look forward to viewing your application!

Learn more at

Equal Employment Opportunity

We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin. See our full EEO statement here.

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Data Engineering Lead Instructor