Analytics Data Engineer: Platform & Leadership

Meta; Bellevue (WA); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta in Bellevue, WA seeks a technical leader for the Data Engineering team to scale analytics platforms across Instagram and internal systems. You’ll partner with Product Managers, Data Scientists and Software Engineers to craft end-to-end data solutions that drive product impact and user satisfaction.

You will own data architecture, governance, security and privacy frameworks, mentor engineers, and lead cross-functional initiatives to improve data pipelines, models and visualizations across

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 10+ years experience in the data warehouse space.
• 10+ years experience in custom ETL design, implementation and maintenance.
• 10+ years experience with object-oriented programming languages.
• 10+ years experience with schema design and dimensional data modeling.
• 10+ years experience in authoring SQL statements.
• Experience analyzing data to identify deliverables, gaps and inconsistencies.
• Experience managing and communicating data warehouse plans to internal clients.

Responsibilities

• Proactively drive the vision for data foundation and analytics across platforms.
• Own data architecture for large-scale projects and evaluate design tradeoffs.
• Contribute to frameworks improving data logging and triage issues.
• Build cross-functional relationships to meet data needs.

Skills

Data warehouse

ETL design

SQL

OOP

Data modeling

Python

Data governance

Security privacy

Mentoring

Education

Bachelor's degree in Computer Science or related field

BS/BA in Technical Field

Tools

MapReduce

MPP system

Python

Job description

Meta in Bellevue, WA seeks a technical leader for the Data Engineering team to scale analytics platforms across Instagram and internal systems. You’ll partner with Product Managers, Data Scientists and Software Engineers to craft end-to-end data solutions that drive product impact and user satisfaction.

You will own data architecture, governance, security and privacy frameworks, mentor engineers, and lead cross-functional initiatives to improve data pipelines, models and visualizations across