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 Meta 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.
- Telecommute from anywhere in the U.S. permitted.
- Requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation.
- Requires five years of experience in the following:
- 1. Custom ETL design, implementation, and maintenance
- 2. Schema design and dimensional data modeling
- 3. Writing SQL statements
- 4. Analyzing data to identify deliverables, gaps and inconsistencies
- 5. Managing and communicating data warehouse plans to internal clients
- 6. MapReduce or MPP system.
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
Additional info for California residents Must be located in the U.S. Telecommute from anywhere in the U.S. permitted
Benefits/PerksAccommodations Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Reasonable accommodations Religious beliefs Remote work flexibility
Tasks- Build
- Build data models and visualizations
- Collaborate with teams
- Define and manage SLAs
- Design
- Design and implement data warehousing
- Identify data needs
- Manage data warehouse plans
- Support existing processes
Analytics Business Compliance Computer Science Data analysis Data compliance Data Infrastructure Data Modeling Data Operations Data privacy Data Quality Data Security Data Visualization Data warehouse management Data Warehousing Design Dimensional data modeling Engineering ETL Information systems Infrastructure MapReduce Mathematics Mentoring Modeling MPP systems Physics Privacy Recruiting Schema design SQL Statistics Web
Experience5 years
EducationAnalytics Applied Sciences Bachelor Bachelor's Bachelor's degree Bachelor's degree in applied sciences Bachelors degree in a related field Bachelor's degree in Computer Science Bachelor's degree in data analytics Bachelor's degree in engineering Bachelor's degree in information systems Bachelor's degree in Mathematics Bachelor's degree in Statistics Business Computer Science Data Analytics Design Engineering Information Systems Mathematics Physics Related Field Statistics Technology
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