Data Engineer, Analytics
Menlo Park, CA | Remote, US
- 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 Computer Science, Electronic 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. Features, design, and use-case scenarios across a big data ecosystem
- 2. Custom ETL design, implementation, and maintenance
- 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. MapReduce or MPP system
- 8. Python.
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/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
SkillsBig Data Big Data Ecosystem Computer Science Data Infrastructure Data Modeling Data Warehousing Design Engineering ETL ETL design MapReduce Modeling MPP Privacy Python Recruiting Schema design Sourcing SQL Statistics Web
Tasks- Create visualizations
- Design data warehousing activities
- Identify data opportunities
- Implement data models
- Implement security model
- Manage SLA for data sets
- Optimize pipelines and systems
- Work on problems of diverse scope
5 years
EducationAnalytics Applied Sciences Bachelor Bachelor's degree Bachelor's degree in Computer Science Computer Science Data Analytics Design Electronic Engineering Engineering Information Systems Mathematics Physics Related Field Statistics Technology
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