Data Engineer, GMS

$175,420 - $182,437/Yr

Meta - Menlo Park, CA

Full-time - Mid Level

Menlo Park, CA

5,001-10,000 employees

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About the position

The Data Engineer position at Meta involves designing and developing innovative data solutions to support product and business teams in making data-driven decisions. The role requires collaboration with various teams to build scalable data solutions and data warehouses, utilizing ETL frameworks and best practices to manage large volumes of data. The Data Engineer will also provide insights that influence strategic planning and serve as a subject matter expert for end users.

Responsibilities

• Design and develop creative and innovative solutions to manipulate and transform data from diverse domains.
• Architect and develop data solutions to assist product and business teams in data-driven decision-making.
• Lead data solution design efforts and oversee the development and implementation of data integration processes.
• Provide insights that influence the strategy for scalable data solutions and data warehouse environments.
• Leverage ETL frameworks and tools for data processing and reporting.
• Collaborate with data infrastructure and engineering teams to enhance ETL and reporting frameworks.
• Consult with business partners to clarify objectives, determine project scope, and recommend solutions.
• Support end users on ad hoc data usage and serve as a subject matter expert.
• Develop ETL processes using Python, PHP, or similar technologies.
• Manage large volumes of data using ETL techniques and best practices.

Requirements

• Master's degree in Computer Science, Mechanical Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.
• Two years of work experience in data warehouse space, custom ETL design, implementation, and maintenance.
• Experience with DSQL and development in at least one programming language: Java, C++, Perl, PHP, or Python.
• Knowledge of data architecture, data modeling, schema design, and software development.
• Experience leading data-driven projects from definition through execution.
• Familiarity with large data sets, Hadoop, and data visualization tools.
• Ability to initiate and drive projects and communicate data warehouse plans to stakeholders.

Benefits

• Bonus
• Equity
• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development opportunities