Meta
Posted 1 week ago
Job Features
| Data Engineer, Analytics Responsibilities | Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. Define and manage SLA for all data sets in allocated areas of ownership. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Influence product and cross-functional teams to identify data opportunities to drive impact. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. |
| Minimum Qualifications | Requires a Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Business Analytics, Applied Sciences, or a related field and 12 months of experience in the job offered or in a data analytics or computer-related occupation. Foreign degree equivalent accepted. Experience requires one year of experience in the following: 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. Python. |
| About Meta | Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. |
| Package | $209,720/year to $235,400/year + bonus + equity + benefits |
| More Details | Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. |
| Equal Employment Opportunity | Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. |
