Data Engineering Manager

Full-time - Manager

Remote - Menlo Park, CA

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About the position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Responsibilities

• Drive the vision for Business Intelligence (BI) and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
• Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
• Build a high quality BI and Data Warehousing team and design the team to scale.
• Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
• Coordinate data warehouse plans across a product vertical.
• Drive the design, building, and launching of new data models and data pipelines in production.
• Oversee development of data resources and support new product launches.
• Drive data quality across the product vertical and related business areas.
• Oversee the delivery of high impact dashboards and data visualizations.
• Define and manage SLA's for all data sets and processes running in production.

Requirements

• Requires a Master's degree (foreign degree equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Statistics, Physics or related field.
• 4 years of work experience in job offered or in a data analytics or data warehousing-related occupation.
• 24 months of experience in ETL (Extract, Transform, Load).
• Experience in data modeling.
• Experience with relational databases (SQL or PL*SQL).
• Proficiency in Python, Perl, XQuery, JavaScript or Java.
• Experience with Hadoop, Hive, MapReduce, or MPI.
• Experience with Linux or Unix.
• Experience in shell scripting and performance tuning.

Benefits

• $304,043/year to $325,270/year + bonus + equity + benefits.
• Individual compensation is determined by skills, qualifications, experience, and location.
• In addition to base compensation, Meta offers benefits.