Data Engineer, Analytics

$250,553 - $279,400/Yr

Meta - Frankfort, KY

Full-time - Mid Level

Remote - Frankfort, KY

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About the position

The Data Engineer at Meta Platforms, Inc. is responsible for designing, modeling, and implementing data warehousing activities that support informed decision-making across various products and domains. This role involves collaborating with cross-functional teams to understand data needs, optimizing data pipelines, and ensuring data quality and governance. The position allows for telecommuting from anywhere in the U.S.

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, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.
• Two years of work experience in data engineering or 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
• Telecommuting options