Join Our Team as a Data Engineer at Meta

Are you passionate about working on solutions for front page news issues and ready to tackle challenges at scale never seen before? Meta's Legal Technology Solutions (LTS) is on the lookout for a talented Data Engineer who is not only keen to execute cutting-edge solutions but also eager to make a meaningful impact daily within our Legal organization.

This role offers a significant degree of ownership over the launched solutions and the chance to drive positive change. Our Data Engineers play a critical role in ensuring the safety and integrity of our platform, which serves over 3 billion users, by collaborating with teams across software engineering, data science, and machine learning engineering.

What Will You Do?

As a Data Engineer in our Legal department, you will:

• Collaborate with engineers, product managers, stakeholders, and data scientists to understand and meet data requirements.
• Manage SLAs for data sets and optimize data integrity and security in compliance with privacy mandates.
• Design and launch sophisticated data models and visualizations for diverse use cases across different products.
• Tackle complex data integration issues using the best ETL patterns and query techniques from both structured and unstructured sources.
• Maintain and optimize existing processes and systems, enhancing development efficiency of data artifacts.
• Drive data-centric decisions across cross-functional teams and mentor team members.

Who Are We Looking For?

Ideal candidates should have:

• A Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
• At least 5 years of experience in data engineering, inclusive of 2+ years with a Ph.D.
• Proficiency with workflow management engines e.g., Airflow, Google Cloud Composer, AWS Step Functions, etc.
• Strong skills in SQL, ETL, data modeling, and programming languages such as Python, C++, Scala, etc.
• A solid track record in ETL design, implementation, and maintenance.

Preferred Qualifications:

• An advanced degree in a STEM field.
• Experience with automation in data processing, data warehousing, data governance, and business intelligence.
• Experience managing large-scale data (terabyte to petabyte).

About Meta

At Meta, we build technologies that enable people around the world to connect, find communities, and grow businesses. From launching Facebook in 2004 to pioneering augmented and virtual reality technologies, we strive to bring about the next evolution in social connections. Working here offers you an opportunity to shape this future.

Compensation and Benefits

The position offers a competitive salary range of US$134,000/year to US$204,000/year plus bonuses, equity, and additional benefits. The package will be determined by your skills, qualifications, and experience.

Meta is an equal opportunity employer, committed to providing reasonable accommodations for candidates with disabilities, long term conditions, mental health issues, neurodivergence, religious beliefs, or pregnancy-related needs.

Apply Now!

If you are driven by innovation and ready to make a substantial impact at one of the most influential tech companies globally, we would love to see your application. Join us at Meta, and help redefine the future of global connectivity.