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, mentoring others around creating efficient queries.
- 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 United States.
- Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and 36 months of experience in the job offered or a related occupation.
- Experience must include 36 months involving the following:
- 1. Custom ETL design, implementation, and maintenance
- 2. Object-oriented programming languages
- 3. Schema design and dimensional data modeling
- 4. Writing SQL statements
- 5. Analyzing data to identify deliverables, gaps, and inconsistencies
- 6. Managing and communicating data warehouse plans to internal clients
- 7. Map Reduce or MPP system
- 8. 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. Apply
Job Profile
Regions Countries Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
SkillsCompliance Computer Science Data Infrastructure Data Modeling Data Warehousing Design Dimensional data modeling Engineering ETL ETL design Map-reduce Modeling MPP Object-oriented Programming Privacy Programming Programming languages Python Recruiting Schema design SQL Statistics Web
Tasks- Build data models and visualizations
- Collaborate with engineers and data scientists
- Define and manage SLA for data sets
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions
- Design data warehousing activities
- Execute data warehouse plans
- Identify data needs for business problems
- Launch data extraction processes
- Manage SLA for data sets
- Work on problems of diverse scope
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
3 years
EducationAnalytics Applied Sciences Bachelor Bachelor's degree Bachelor's degree in Computer Science Business Computer Science Data Analytics Design Engineering Information Systems Mathematics Physics Related Field Statistics Technology
RestrictionsTelecommuting is permitted from anywhere in the United States Telecommuting permitted from anywhere in the United States
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9