Data Engineer, Analytics

$205,000 - $235,400/Yr

Meta - New York, NY

Full-time - Mid Level

New York, NY

5,001-10,000 employees

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

The Data Engineer, Analytics role at Meta involves designing and implementing data warehousing activities to support informed decision-making across various products and domains. The position requires collaboration with cross-functional teams to understand data needs and create sophisticated data models and visualizations. The engineer will also manage data quality, security, and governance processes while optimizing data pipelines and addressing integration challenges.

Responsibilities

• Design, model, and implement data warehousing activities to deliver a robust data foundation.
• Build and launch sophisticated data models and visualizations for various use cases.
• Collaborate with engineers, product managers, and data scientists to understand and represent data insights visually.
• Define and manage Service Level Agreements (SLA) for all data sets in assigned areas.
• Create frameworks to improve data logging efficacy and resolve data infrastructure issues.
• Implement security models based on privacy requirements and address data quality issues.
• Solve data integration problems using optimal ETL patterns and techniques.
• Optimize pipelines, dashboards, and systems for easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities.
• Analyze diverse data problems requiring evaluation of identifiable factors.

Requirements

• Master's degree in Computer Science, Engineering, Management Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.
• Three years of work experience in a computer-related occupation or the job offered.
• Experience with features, design, and use-case scenarios across a big data ecosystem.
• Custom ETL design, implementation, and maintenance experience.
• Proficiency in object-oriented programming languages.
• Experience with schema design and dimensional data modeling.
• Ability to write SQL statements.
• Experience analyzing data to identify deliverables, gaps, and inconsistencies.
• Experience managing and communicating data warehouse plans to internal clients.
• Familiarity with MapReduce or MPP systems.
• Proficiency in Python.

Benefits

• Bonus
• Equity
• Comprehensive health benefits
• Flexible work arrangements
• Professional development opportunities