Data Engineer at Meta

Bellevue, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Integration, ETL, SQL, Python, Data Modeling, Data Quality, Data Governance, Data Pipelines, Data Analysis, Big Data Ecosystem, Schema Design, Metric Definition, Data Visualization, Collaboration, Mentoring

Industry

Software Development

Description

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 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 in a meaningful way. Define and manage Service Level Agreements 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 Extract, Transform, Load (ETL) patterns, frameworks, query techniques, 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. Minimum Qualifications Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and 4 years of work experience in the job offered or in a Data Scientist/Analyst-related occupation Requires 4 years of experience in the following: Features, design, and use-case scenarios across a big data ecosystem Custom ETL design, implementation, and maintenance Schema design and dimensional data modeling Fluent in SQL, Python Analyzing data to identify deliverables, gaps, and inconsistencies Managing and communicating data warehouse plans to internal clients MapReduce or MPP system Experience managing large-scale data assets Metric definition and instrumentation to enable data-driven decisions and Build scalable and efficient data pipelines

Responsibilities

The Data Engineer will conceptualize and own the data architecture for large-scale projects, collaborating with various teams to understand data needs. They will also design and implement sophisticated data models and visualizations while optimizing existing processes and pipelines.