$60/hr
Other
Medical, Dental, Vision, Life, Retirement, PTO
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Job description
Tampa, Florida
In-person, Contract, 4 months (16 weeks+)
Reports to: Director, Technical Instruction
Compensation: $60/hour
Who We Are Looking ForPer Scholas is seeking a dynamic, detail-oriented Data Engineering Instructor to join our team. We are looking for a problem-solver with a strong technical background in modern data pipelines, cloud technologies, and AI integration.
To succeed in this role, you must be business-minded, mission-driven, and capable of translating complex technical concepts into job-ready skills for diverse learners. You will lead a cohort through a rigorous training program, preparing them for entry-to-mid-level careers in Data Engineering.
What You'll Do- Deliver High-Quality Instruction: Lead daily live technical training in-person, covering the full Data Engineering lifecycle including Linux, Python, SQL, Big Data frameworks, and Cloud technologies. You must be prepared to seamlessly pivot to Zoom-based remote instruction if required by business contingencies.
- Manage Student Performance: Monitor individual progress, grade assessments (KBAs via Canvas, SBAs via HackerRank), manage attendance, and provide one-on-one tutoring for learners who need additional support.
- Facilitate Hands-On Labs: Guide students through practical exercises, troubleshooting code issues in real-time, and overseeing the final Capstone Project.
- Leverage AI Tools: Integrate Google Gemini (primary) and other tools (ChatGPT, GitHub Copilot) into the classroom to demonstrate code generation, debugging, and explaining complex technical concepts.
- Curriculum & Platform Support: Maintain lesson plans and manage external learning platforms, including enrolling and tracking learner progress in Coursera for the Google Data Analytics Professional Certificate modules (specifically Tableau).
- Administrative Duties: Update the LMS (Canvas, Salesforce) and communication channels (Slack) with attendance, grades, and progress notes daily.
- Education & Background (One of the following is required):
- Bachelor's Degree in Computer Science, Data Science, or a related field.
- OR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred).
- OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software Development.
- Teaching Experience: Minimum 1 year of teaching, training, or mentoring experience in a technical environment.
- AI Integration: Proficiency in using Google Gemini to assist in coding, debugging, and instructional workflows.
- Scripting & Automation: Proficiency in Unix/Linux command line navigation and basic shell scripting.
- Version Control: Experience with Git and GitHub for version control and collaboration.
- Python Programming: Advanced proficiency in Python, including data manipulation and analysis using NumPy and Pandas.
- Database Expertise: In-depth knowledge of Relational Databases, SQL programming, and database design principles.
- Big Data & ETL: Practical experience with Apache Spark, Spark SQL, and ETL/ELT data warehousing processes.
- Data Visualization: Strong proficiency in Tableau (required for specific curriculum modules) and Python libraries like Matplotlib/Seaborn.
- Cloud Technologies: Experience with AWS services relevant to data analytics (e.g., Redshift, Athena, QuickSight, AWS Blueprint).
- Advanced Teaching Experience: 3+ years of experience in adult education or bootcamp-style training.
- Containerization: Familiarity with Docker and Kubernetes.
- CI/CD: Knowledge of CI/CD tools and processes such as Jenkins.
- Hadoop Ecosystems: Familiarity with Hadoop frameworks.
- Certifications: AWS Certified Data Analytics, Google Data Analytics Professional Certificate, or Databricks Certified Associate.
- Mission Alignment: You believe that talent is ubiquitous but opportunity is not, and you are passionate about creating on-ramps for diverse communities.
- Agility: You thrive in a fast-paced environment and can adapt quickly to changes in the classroom or curriculum.
- Data-Driven: You use student performance data to identify gaps and adjust your teaching strategies accordingly.
- Life-Long Learner: You stay updated on the latest trends in Data Engineering and AI.
- Impact: Make a tangible difference in the lives of individuals by providing them with the skills to launch sustainable careers.
- Culture: Join a supportive, collaborative, and diverse team that values innovation and work-life balance.
Benefits: Enjoy a competitive salary, comprehensive healthcare, 401K match, and self-development opportunities.
Per Scholas offers a comprehensive benefits package designed to support your health, financial well-being, and overall quality of life!
Holidays & PTO: Full-Time Per Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence day and a week before the New Year). Full-Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work-life balance. Vacation accruals increase with tenure. Part-time employees are afforded time off on a prorated basis and in accordance with local requirements.
Comprehensive Medical Coverage: Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out-of-pocket expenses, up to $4,000 for individuals and $8,000 for families.
Dental and Vision Insurance: Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums.
Retirement Savings: 401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company.
Employee Assistance Program (EAP): Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members
Parental Leave: Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family.
Additional Benefits & Perks: Eligible employees have access to employer-paid life and AD&D Insurance, as well as employer-paid short-term disability coverage, with the option to elect additional life coverage and long-term disability insurance. Flexible Spending accounts are available for healthcare, dependent care, and commuting expenses. Per Scholas also offers a range of voluntary benefits, including: Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance. Additional resources include healthcare concierge support, financial wellness tools, and employee discount programs.
If you have any questions about this role, please feel free to email our Talent team at jobs@perscholas.org. We look forward to viewing your application!
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.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Software Engineer?
A: To succeed as a Data Software Engineer, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in data structures, algorithms, and software development methodologies like Agile. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Software Engineers often work with cross-functional teams and stakeholders to design, develop, and deploy data-driven solutions. By combining technical expertise with strong soft skills, Data Software Engineers can effectively drive business outcomes, innovate, and adapt to the rapidly evolving landscape of data technology.
Q: What is the career path for a Data Software Engineer?
A: A Data Software Engineer's typical career progression involves starting as a Junior Software Engineer, where they focus on developing and maintaining data-driven software applications, and gradually advancing to roles such as Senior Software Engineer, Technical Lead, or Data Architect, where they oversee large-scale data systems and lead cross-functional teams. Key opportunities for skill development include learning programming languages like Python, SQL, and Java, as well as data science tools like Hadoop, Spark, and machine learning frameworks like TensorFlow and PyTorch. Long-term, Data Software Engineers may pursue leadership roles, such as Director of Engineering or Chief Technology Officer, or transition into related fields like data science, product management, or entrepreneurship.