Data Engineer, Analytics - Menlo Park, CA | Remote, US
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.Data Engineer, Analytics Responsibilities
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta. Apply
- 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.
- Telecommute from anywhere in the U.S. permitted.
- Requires a Bachelor's degree in Information Science, Computer Science, Engineering, Information Science, 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. Exploratory analysis across large and unstructured datasets
- 3. Data cleansing and normalization
- 4. Presentation with historical and realtime data visualizations
- 5. Object-oriented programming languages
- 6. Schema design and dimensional data modeling
- 7. Writing SQL statements
- 8. Python or Java.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta. Apply
Job Profile
Regions Countries Benefits/Perks SkillsComputer Science Data Modeling Data Visualization Data Warehousing ETL ETL design Java Modeling Object-oriented Programming Python SQL
Tasks- Collaborate with teams
- Create visualizations
- Design data warehousing activities
- Ensure data security and privacy
- Identify data opportunities
- Implement data models
- Manage SLA for data sets
- Optimize data pipelines and systems
- Solve data integration problems
5 years
EducationAnalytics Applied Sciences Bachelor's degree Computer Science Data Analytics Engineering Information Science Mathematics Physics Related Field Statistics
RestrictionsTelecommute from anywhere in the U.S. permitted
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