**Summary:** Joining an existing team, this role is in the Integrity & Support Data Engineering team, focusing on keeping the platform safe from harms like spam, compromised accounts, and scripted accounts. It will involve working with a number of different product teams, helping to derive new metrics around our integrity actions and to improving the overall data maturity.You will enjoy the role if you:- Are interested in learning about analytics for ML, and collaborating closely with ML engineers- Would like to work closely with engineers and XFNs in an area with company-wide impact- Enjoy building scalable data foundations **Required Skills:** Data Engineer, Analytics Responsibilities: 1. Build and maintain data artifacts (data models, pipelines and dashboards) to enable data driven decision making. 2. Work with the XFNs to understand business and product strategy to develop the data strategy. 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way 4. Contribute to Meta-wide projects to improve product development and data engineering efficiency **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 6. 3+ years of work experience in data engineering (a minimum of 1+ years with a Ph.D) 7. 3+ years experience in the data warehouse space. 8. 3+ years experience in custom ETL design, implementation and maintenance. 9. 3+ years experience and practical application of Python 10. 3+ years experience with schema design and dimensional data modeling. 11. 3+ years experience with SQL. 12. Experience with data architecture design and data pipeline optimization. **Preferred Qualifications:** Preferred Qualifications: 13. Master's or Ph.D degree in a STEM field. 14. Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy. 15. Experience working with TB to PB scale data. **Industry:** Internet