Data engineer

Summary:

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.

Required Skills:

Data Engineer, Analytics Responsibilities:

Conceptualize and own the data architecture for multiple large-scale projects while evaluating design and operational cost-benefit tradeoffs within systems.

Create and contribute to frameworks that improve the efficacy of logging data while working with data infrastructure to triage issues and resolve.

Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.

Define and manage SLA for all data sets in allocated areas of ownership.

Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

Solve our most challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.

Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

Influence product and cross-functional teams to identify data opportunities to drive impact.

Mentor team members by giving/receiving actionable feedback.

Telecommuting from anywhere in the U.S. allowed.

Minimum Qualifications:

Minimum Qualifications:

Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering or related field and 7 years of experience in the job offered or related occupation

Experience must include 7 years in the following

Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale

Programming in Python

Writing SQL statements

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

Data warehousing architecture and plans

Dimensional data modeling

Schema Design

Map Reduce

Public Compensation:

$218,062/year to $235,400/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].