Full-Time

Data Engineer

Product Analytics

Confirmed live in the last 24 hours

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$173k - $242kAnnually

+ Bonus + Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Fremont, CA, USA + 7 more

More locations: Washington, DC, USA | San Francisco, CA, USA | Austin, TX, USA | Menlo Park, CA, USA | New York, NY, USA | Bellevue, WA, USA | Sunnyvale, CA, USA

Focus on California residents for this position.

Category
Data Engineering
Data & Analytics
Required Skills
Python
SQL
C#
Scala
C/C++

You match the following Meta's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
  • 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
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 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
Desired Qualifications
  • Master's or Ph.D degree in a STEM field

Meta Platforms Inc. focuses on social media, communication tools, and virtual reality. It operates popular platforms like Facebook, Instagram, and WhatsApp, allowing users to connect, share content, and engage in communities. The Oculus division provides virtual reality hardware and experiences. Meta's primary revenue comes from advertising, offering businesses tools to target specific audiences using insights from its large user base. This advertising service is scalable and allows for tailored audience segmentation. Additionally, Meta explores revenue through virtual reality product sales and the metaverse, where it looks to monetize virtual goods and services. The company also invests in artificial intelligence and augmented reality to enhance its offerings, aiming to combine user engagement with advanced marketing tools.

Company Stage

IPO

Total Funding

$2.2B

Headquarters

Menlo Park, California

Founded

2004

Growth & Insights
Headcount

6 month growth

8%

1 year growth

10%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Meta's collaboration with Oakley expands its reach into the wearable tech market.
  • Development of a new high-end Quest headset enhances Meta's VR market position.
  • Investment in Databricks supports Meta's AI capabilities with the Llama model.

What critics are saying

  • EU scrutiny of Meta's ad-free service could lead to legal challenges.
  • Rise of AI competitors like DeepSeek threatens Meta's AI market position.
  • Consumer adoption challenges may affect Meta's new high-end Quest headset.

What makes Meta unique

  • Meta's platforms like Facebook, Instagram, and WhatsApp dominate global social media engagement.
  • Meta's Oculus division leads in virtual reality hardware and experiences.
  • Meta's data-driven advertising tools offer unmatched audience targeting capabilities.

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Benefits

Stock Options

Company Equity

Mental Health Support

Flexible Work Hours