Senior Data Engineer
About The Position
Data plays a central role at MasterClass and is at the heart of how we make business, product, content, and operational decisions. Our Data teams sit at the core of the company, partnering closely with Product, Engineering, Finance, Marketing, and Content to drive insight, direction, and growth. We are seeking a Senior Data Engineer to play a key role in owning, evolving, and scaling our core data platform. This role operates with significant autonomy and influence, partnering closely with Analytics, Product, and Engineering to ensure our data systems are reliable, scalable, cost-efficient, and aligned with how the business operates. You will help shape architectural decisions, raise engineering standards, and ensure our data platform enables analytics, experimentation, and emerging AI-driven use cases.
Requirements
- 7+ years of experience in Data Engineering, with ownership of production data platforms at scale
- Deep expertise designing and operating Airflow, AWS-based data platforms, including Redshift, S3, IAM, and related services in complex production environments
- Advanced proficiency in SQL and Python, with strong data modeling and systems design skills
- Strong understanding of distributed data processing , modern ELT architectures, analytics workflows and BI use cases, and experience partnering closely with Analytics and business stakeholders.
- AI tools knowledge that includes an understanding of prompt engineering and familiarity with modern AI technology stacks
- Strong communication skills, with the ability to lead technical discussions, influence architecture, and drive initiatives across teams
Responsibilities
- Design, build, and operate robust, fault-tolerant, and observable data pipelines using Airflow and modern ELT best practices
- Architect, enhance and improve data ingestion, AWS data infrastructure, including Redshift, S3 and monitoring
- Partner with Analytics, Product, Finance, Marketing, and Content teams to design canonical, analytics-ready datasets that power key metrics such as growth, engagement, retention, and revenue
- Define, implement, and enforce SLAs, data quality checks, observability, and alerting for production data systems. Take shared ownership of data platform reliability, participating in on-call rotations and driving root-cause fixes for incidents
- Contribute to design reviews, raising engineering quality, and sharing best practices
- Evaluate and introduce data tooling that improves reliability, developer productivity, and analytics velocity
- Collaborate deeply with cross functional teams to align event design, source systems, and data contracts
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
