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Data Engineer, Analytics

Meta builds technologies that help people connect, find communities, and grow businesses through social technology and immersive experiences.
$195,201 - $235,400
Data
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Social Media
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Description For Data Engineer, Analytics

Meta, a global technology leader formerly known as Facebook, is seeking a Data Engineer for their Analytics team. This role combines technical expertise in data engineering with business impact through informed decision-making. The position offers a competitive salary range of $195,201-$235,400 plus bonus and equity benefits.

The role involves designing and implementing sophisticated data warehousing solutions, creating impactful data models and visualizations, and collaborating across teams with engineers, product managers, and data scientists. You'll be responsible for managing data SLAs, implementing security models, and optimizing data pipelines and frameworks.

This is an excellent opportunity for experienced data professionals who want to work at scale with one of the world's leading tech companies. Meta's products like Facebook, Instagram, and WhatsApp serve billions of users, and the company is expanding into new frontiers with AR/VR technology. The position offers the flexibility of remote work within the US while being part of Meta's mission to connect people and build the next evolution of social technology.

The ideal candidate will have 5+ years of experience with big data ecosystems, ETL processes, and programming languages like Python and SQL. You'll need strong skills in data modeling, analysis, and communication to succeed in this role. Meta offers comprehensive benefits including medical, dental, and vision insurance, along with equity compensation and bonus potential.

Working at Meta means being at the forefront of social technology innovation while having the opportunity to impact billions of users worldwide. The company's culture emphasizes moving fast, taking ownership, and making a significant impact through data-driven decisions.

Last updated 2 months ago

Responsibilities For Data Engineer, Analytics

  • Design, model, and implement data warehousing activities
  • Design, build and launch sophisticated data models and visualizations
  • Collaborate with engineers, product managers and data scientists
  • Define and manage SLA for data sets
  • Create and contribute to data logging frameworks
  • Implement security models based on privacy requirements
  • Solve data integration problems using ETL patterns
  • Optimize pipelines, dashboards, frameworks, and systems
  • Influence product and cross-functional teams
  • Work on diverse scope problems requiring data analysis

Requirements For Data Engineer, Analytics

Python
  • Bachelor's degree in Computer Science, Data Analytics Engineering, or related field
  • 5 years of experience with big data ecosystem
  • Experience with custom ETL design and maintenance
  • Knowledge of object-oriented programming languages
  • Experience with schema design and dimensional data modeling
  • Proficiency in writing SQL statements
  • Experience analyzing data to identify deliverables and gaps
  • Experience managing data warehouse plans
  • Python programming skills

Benefits For Data Engineer, Analytics

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Bonus
  • Equity
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance

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