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.
- Telecommuting is permitted from anywhere in the United States.
- Requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, or related field and 60 months of progressive, post-baccalaureate experience in the job offered or in a related occupation. Requires 60 months of experience involving the following:
- Features, design, and use-case scenarios across a big data ecosystem
- Custom ETL design, implementation, and maintenance
- Object-oriented programming languages
- Schema design and dimensional data modeling
- Writing SQL statements
- Analyzing data to identify deliverables, gaps and inconsistencies
- Managing and communicating data warehouse plans to internal clients
- MapReduce or MPP system and
- Python.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly 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
SkillsBig Data Big Data Ecosystem Computer Science Data Infrastructure Data Modeling Data Warehousing Design Dimensional data modeling Engineering ETL ETL design MapReduce Modeling MPP Object-oriented Programming Privacy Programming Programming languages Python Recruiting Schema design Sourcing SQL Statistics Web
Tasks- Building data visualizations
- Collaborating with cross-functional teams
- Creating frameworks for logging data
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions
- Designing data warehousing activities
- Design, model, and implement data warehousing activities
- Identify data opportunities
- Implementing data models
- Implementing security models
- Influencing product teams
- Managing SLA for data sets
- Optimizing data pipelines and systems
- Solving data integration problems
- Work on problems of diverse scope
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
5 years
EducationAnalytics Bachelor Bachelor's degree Bachelor's degree in Computer Science Computer Science Data Analytics Design Engineering Information Systems Mathematics Physics Related Field Statistics Technology
RestrictionsTelecommuting is 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