Data Engineer, Infra Strategy

Meta • Bellevue, WA

94d • $218,798 - $235,400

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.

Requirements

• Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Mathematics, Physics, or related field.
• Five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation.
• Two years of experience in data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale.
• Two years of programming experience in Python, Perl, Java, or PHP.
• Two years of experience with internet technologies: HTTP, HTML, CSS, or JavaScript.
• Two years of experience writing SQL statements.
• Two years of experience analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies.
• Two years of experience with data warehousing architecture and plans.
• Two years of experience with Informatica, Talend, Pentaho, dimensional data modeling, or schema design.
• Two years of experience with Map Reduce or MPP system.
• Two years of experience with LAMP stack development.
• Two years of experience with Hadoop, HBase, or Hive.

Responsibilities

• Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
• Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.
• Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.
• Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
• Design, develop, test, and launch new data models and processes into production, and provide support.
• Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
• Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.
• Identify data infrastructure issues and drive to resolution.

Benefits

• $218,798/year to $235,400/year + bonus + equity + benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Bachelor's degree