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Data Engineering Instructor

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Per Scholas
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60 USD Hourly USD 60.00 HOUR
Job Description & How to Apply Below

About Per Scholas

For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent.

With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings.

Learn more by visiting Per Scholas.org and follow us on Linked In, X, Facebook, Instagram, and You Tube.

Per Scholas Preferred Hires

Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA

Position

POSITION TITLE: Data Engineering Instructor
LOCATION: Atlanta, Georgia
SCHEDULE: In-person
DURATION: Contract, 4 months (16 weeks+)
REPORTS TO: Director, Technical Instruction
COMPENSATION: 60$/hour

What We’re Looking For

Per Scholas is seeking a Data Engineering instructor to become a member of our Remote Training Team. The ideal candidate is a detail-oriented, problem-solving individual with strong technical and instructional skills, demonstrates the ability to adapt quickly to a dynamic environment, and maintains a strong sense of accountability. To succeed in this role, candidates must be business-minded within our mission focus and excel in instructional delivery that meets clients’ and learners’ high expectations.

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 other classroom materials.
What You’ll Bring To Us
  • Instructional Skill Sets
  • 1-3 years of teaching or training experience
  • Strong technical background; able to grasp and convey highly technical subject matter
  • Ability to respond clearly to live digital conversations via a digital engagement platform such as Zoom or an in-person training environment.
  • Strong communication skills
Required Skill Sets
  • Proficiency in Unix/Linux command line navigation and basic shell scripting
  • In-depth knowledge of relational databases, SQL programming, and database design principles.
  • Experience building and deploying production data processing pipelines
  • Excellent Python and SQL development, debugging, and data modeling skills
  • Experience with data analysis and visualization using Python packages (i.e., Num Py, Pandas, Matplotlib, Pyplot, etc.)
  • Experience setting up new data sources and migrating data, as well as establishing or fine-tuning ETL/ELT processes using industry-recognized technologies
  • Experience with Data Warehousing, Data Mart, and Big Data platforms and technologies
  • Experience with Apache Spark and Spark SQL
  • Experience with Docker
  • Demonstrable proficiency with enterprise Business Intelligence tools (i.e., Power BI or Tableau)
  • Ability to respond clearly to live digital conversations via a digital engagement platform like Zoom
  • Experience with version control
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