Data Engineer, Analytics

$250,553 - $279,400/Yr

Meta - Saint Paul, MN

Full-time - Mid Level

Remote - Saint Paul, MN

5,001-10,000 employees

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About the position

The Data Engineer position at Meta Platforms, Inc. involves designing and implementing data warehousing activities to support informed decision-making across various products and domains. The role requires collaboration with cross-functional teams to create sophisticated data models and visualizations, ensuring data quality and security while optimizing data pipelines and frameworks.

Responsibilities

• Design, model, and implement data warehousing activities to deliver a robust data foundation.
• Build and launch sophisticated data models and visualizations for multiple use cases.
• Collaborate with engineers, product managers, and data scientists to understand data needs and represent 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, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.
• Two years of work experience in the job offered or in a computer-related occupation.
• Experience in 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 in schema design and dimensional data modeling.
• Ability to write SQL statements and analyze data for deliverables and inconsistencies.
• Experience managing and communicating data warehouse plans to internal clients.
• Familiarity with MapReduce or MPP systems.
• Proficiency in Python.

Benefits

• Bonus
• Equity
• Health benefits