Data Engineer, Analytics

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.

Data Engineer, Analytics 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.

Minimum Qualifications

• Requires a Master's degree (or foreign equivalent) in Computer Science, Analytics, Information Systems, Engineering, or a related field and 24 months of experience in job offered or related occupation. Experience must include 24 months of experience in the following skills and technologies:
  1.Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale

2.Programming in Python

3.Writing SQL statements

4.Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies

5.Data warehousing architecture and plans

6.Map Reduce

7.Hadoop

8.Hive

9.Shell scripting, Sqoop, Oozie, Spark, AWS-EC2, EMIR, S3, and Redshift

10. Bigquery, Presto, Druid, and Tableau.

Locations

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect.

Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$212,109/year to $235,400/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.