Data Engineering Manager

Your Impact

• Regularly evaluate new technologies and services to enhance our data platform's processing, management, and delivery capabilities, adapting it to meet evolving product and business requirements.
• Build and nurture relationships with data and other engineering leaders to ensure alignment on large-scale projects and identify opportunities for improvement, proactively communicating challenges and roadblocks.
• To champion team member growth, coach team members to improve, share resources, and lead by example to drive continuous learning across a wide range of technical and soft skills.
• Through your proficiency in data engineering practices, assist the team in technical delivery and review completed work.
• Maintain the data platform, monitoring its performance and reporting on team metrics to ensure data availability and quality 

About You

• Proven experience in a data engineering role, with a minimum of 1-2 years in a leadership capacity and comfortable using both Python and PySpark
• A capable contributor and technical leader, with the ability to communicate effectively, and lead your team in the execution and delivery of impactful projects.
• Efficient and accurate programming skills, with notable proficiency in SQL, showcasing a deep understanding of relevant APIs and tools.
• Comfortable working in a player-coach model and able to tackle technical tasks in support of team goals and objectives.  
• Collaborative mindset, fostering partnerships with cross-functional teams to solve problems and refine solutions.
• You thrive on seeing your team members grow, develop and achieve their goals.
• Not afraid to stretch yourself outside of your comfort zone to take on new challenges, and have a love for continuous learning.

Bonus Points

• Experience working with data at scale using Pyspark
• AWS/Databricks experience
• Agile workflow or Kanban experience
• Experience in the educational software space or free-to-play games

Core Technologies

• Platform: AWS, Airflow, Databricks, DBT, Snowflake
• Languages: Python, PySpark, Go
• Other: Terraform, Kubernetes, Fivetran 

Interview Process

• We're excited to learn about you and your skills, interest and experience. Here is what you can expect during this interview process!
• Application Screening
• Initial Recruiter Screening Interview: A brief conversation with the Talent Partner to discuss the candidate's background, experience, and interest in the role.
• First Round Interview - Meeting the Hiring Manager: Typically with the hiring manager or a team member to delve deeper into the experience, skills, and overall alignment for the role.
• Final Panel/Team Interview: A more comprehensive interview involving multiple team members or stakeholders to do a deep dive technical interview and assess company values alignment.
• Job Offer
• Pre-employment Screening: This is including Background and Reference Checks
• Onboarding

Working At Prodigy

• Be part of a mission-driven organization dedicated to helping every student in the world love learning! At Prodigy Education, your work positively impacts the lives of millions of students and teachers worldwide.
• Join a company which empowers a Growth Mindset among its team members, so you grow as we do. You’ll also work on award-winning products which harness the magic of math and power of language for students in grades 1st-8th.
• We understand that a thriving team is at the core of our success. So, on top of an inspirational mission and rewarding work, our Total Rewards Program reflects our commitment to your financial, physical, and mental well-being.
• It’s not just about the work though; it's about the culture. As the Toronto Star reports in a recent feature on Prodigy: "Prodigy’s secret sauce is that it sees its corporate culture as something that is built slowly from the ground up and is always evolving.” Check it out here.
• #LI-SM1, #LI-Hybrid