Data Engineer III-6377
Core
Build, optimize, and maintain scalable data pipelines and analytics-ready datasets to power operational decisions and workforce measurement for Meta's Global Response Ecosystem.
Role type
Senior IC data engineer (ETL/ELT)
Builds
Large-scale data pipelines, analytics-ready datasets, and reporting infrastructure for Meta's Global Response Ecosystem
Domain
Technology / Data Engineering
Required skills
Advanced SQL (Presto, Trino, Spark SQL), Python, Hive/Spark data warehousing, Pipeline orchestration (Airflow, Dataswarm), Data modeling, Query performance optimization
Preferred skills
Dashboard backend support (Unidash, Tableau), Operations analytics, Git/version control, Data quality frameworks, Six Sigma/CBPP/BPM/ISO/ITIL/CMMI certifications
Technologies
SQL, Python, Hive, Spark, Airflow, Dataswarm, Unidash, Tableau, Git
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Build and optimize data workflows in Hive/Spark environments; Develop pipeline orchestration and scheduling; Create analytics-ready datasets for workforce and capacity reporting; Monitor pipeline health and implement data quality checks; Automate manual workflows and improve legacy pipelines; Partner with data scientists and stakeholders to translate requirements into data solutions
Seniority
Senior, hands-on IC
