Data Engineer, Product Analytics
Menlo Park, CA | Remote, US
- Design, model, or implement data warehousing activities in order to contribute to the design and development of Facebook products.
- Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.
- Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve.
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
- Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
- Independently design, build and launch new data extraction, transformation and loading processes in production.
- Support existing processes running in production and implement optimized solutions with limited guidance.
- Define and manage SLA for data sets in allocated areas of ownership.
- 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.
- Telecommuting is permitted from anywhere in the U.S.
- Requires a Master's degree in Computer Science, Information Technology Management, or a related field and 24 months of experience in job offered or in a related occupation. Foreign degree equivalency accepted.
Experience must include 24 months involving the following: - 1. Custom ETL design, implementation, and maintenance
- 2. Object-oriented programming languages
- 3. Writing SQL statements
- 4. Analyzing data to identify deliverables, gaps and inconsistencies
- 5. Managing and communicating data warehouse plans to internal clients and
- 6. Python.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data quality Data warehouse Data Warehousing ETL OOP Physics Privacy Python Security SQL VR
Perks/benefits: Equity / stock options Health care Salary bonus
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