Cette offre d'emploi n'est plus disponible
Data Engineer
MasterClass
- San Francisco, California, United States
- San Francisco, California, United States
À propos
Design, build, and manage our data warehouse, data storage, and data ingestion solutions. Implement robust and fault-tolerant systems for data ingestion and processing. Develop canonical datasets to track key product metrics, including user growth, engagement, and revenue. Understand and translate business needs into data models to support long-term, scalable, and reliable data pipelines Enhance and maintain the Data Infrastructure using best practices and latest features to ensure high data quality. Define and manage SLA’s for data sets and processes running in production Continuously improve our data infrastructure and empower teams with the best data tooling and systems. Build strong cross-functional partnerships with Data Analysts, Product Managers, and Software Engineers to understand data needs and deliver on those needs. Participate in data architecture and engineering decisions, leveraging your strong experience and knowledge. Build lineage and auditability into data pipelines Be part of a data engineering team that is also responsible for the reliability of the data systems that are built and be available to respond to critical incidents as needed Ensure the security, integrity, and compliance of data in accordance with industry and company standards.
About You (Requirements):
4+ years of experience in Data Engineering and Data Warehousing Experience scaling data environments with distributed processing technologies and frameworks. Advanced proficiency with SQL, Python, Postgres, and integrations via APIs Experience working in an AWS cloud environment in designing and implementing cloud data warehouses, other types of storage, and developing ETL/ELT pipelines Experience integrating and building a data platform in support of BI, Analytics, and Data Science Expertise with ETL schedulers such as Airflow, Dagster, Prefect, or similar frameworks. AI tools knowledge that includes an understanding of prompt engineering and how data impacts LLM performance in RAG pipelines; familiarity with modern AI technology stacks; ensuring high-quality data inputs for AI models; and integrating AI capabilities into business intelligence solutions. Strong communication skills, with the ability to initiate and drive projects proactively and accurately Eligible to work in the United States legally
At MasterClass, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. In addition, MasterClass will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you. The salary range listed is for NYC/CA/WA. As a company, we have a location based strategy, which means the disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location where the position may be filled.MasterClass’s salary ranges are based on paying competitively for our size and industry. In addition to salary, we also offer equity and comprehensive benefits (medical, dental, vision, flexible PTO, and more). The range listed is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate. Salary Range: $142,000 USD - $170,000 USD #J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.