Full-Time

Data Engineer

Analytics, Technical Leadership

Updated on 1/1/2025

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$206k - $281kAnnually

+ Bonus + Equity + Benefits

Expert

Company Historically Provides H1B Sponsorship

Menlo Park, CA, USA + 1 more

More locations: New York, NY, USA

Candidates in California should refer to the provided link for more information.

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Python
SQL
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 10+ years experience in the data warehouse space.
  • 10+ years experience in custom ETL design, implementation and maintenance.
  • 10+ years experience with object-oriented programming languages.
  • 10+ years experience with schema design and dimensional data modeling.
  • 10+ years experience in writing SQL statements.
  • Experience analyzing data to identify deliverables, gaps and inconsistencies.
  • Experience managing and communicating data warehouse plans to internal clients.
  • BS/BA in Technical Field, Computer Science or Mathematics (preferred).
  • Experience working with either a MapReduce or an MPP system (preferred).
  • Knowledge and practical application of Python (preferred).
  • Experience working autonomously in global teams (preferred).
  • Experience influencing product decisions with data (preferred).
Responsibilities
  • Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision.
  • 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.
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
  • 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 use cases across different products or domains.
  • Solve our most challenging data integrations problems, utilizing optimal 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.

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

$2.1B

Headquarters

Menlo Park, California

Founded

2004

Growth & Insights
Headcount

6 month growth

0%

1 year growth

22%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Meta's $10 billion investment in Rayville supports future growth.
  • Meta's diversification of GPU suppliers enhances hardware capabilities.
  • Meta's BLT architecture improves AI model efficiency.

What critics are saying

  • Increased competition in AR glasses market may impact Meta's market share.
  • Privacy concerns over smart glasses could lead to regulatory scrutiny.
  • Antitrust legal battles could result in significant fines for Meta.

What makes Meta unique

  • Meta's investment in AR technology sets it apart in the tech industry.
  • Meta's collaboration with JetBrains enhances app development efficiency.
  • Meta's partnership with Longroad Energy aligns with sustainability goals.

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