Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Data EngineerJob Code: REQ-2404-136035Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $183,552/year to $196,900/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.Duties:Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product. Analyze user needs and software requirements to determine workability and to offer support for end users on data usage. Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions. Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans. Design, develop, test, and launch new data models and processes into production, and provide support. Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate. Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework. Identify data infrastructure issues and drive to resolution.Requirements:Requires Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Foreign degree equivalent accepted. Requires completion of an undergraduate-level course, research project, or internship involving the following skills: 1. Features, design, and use-case scenarios across a big data ecosystem; 2. Custom ETL design, implementation, and maintenance; 3. Object-oriented programming languages; 4. Schema design and dimensional data modeling; 5. Writing SQL statements; 6. Analyzing data to identify deliverables, gaps, and inconsistencies; 7. Managing and communicating data warehouse plans to internal clients; 8. MapReduce or MPP system; and 9. Python.

Minimum Salary: 183,552 Maximum Salary: 196,900 Salary Unit: Yearly