Meta, Data Engineer, Product Analytics, Data Modeling, SQL, ETL, Data Science, Python, Data Engineering, Analytics, Sunnyvale, Menlo Park, New York, San Francisco
Meta is hiring for a Data Engineer to join its Product Analytics team. In this role, you will work on building scalable data solutions, optimizing growth and user experience across Meta’s family of apps like Facebook, Instagram, Messenger, WhatsApp, and more. You’ll collaborate with engineering, data science, and product teams to design and implement cutting-edge data artifacts that support the growth of Meta’s 3 billion plus users.
Job Description Details
| Details | Description |
|---|---|
| Company Name | Meta |
| Post Name | Data Engineer, Product Analytics |
| Employment Type | Full-time |
| Job Location | Sunnyvale, CA; Los Angeles, CA; Bellevue, WA; Redmond, WA; Menlo Park, CA; Seattle, WA; Burlingame, CA; New York, NY; San Francisco, CA; Fremont, CA |
| Expected CTC | Estimated annual CTC: INR 15,00,000 – 20,00,000 (depending on experience) |
| Job ID | N/A |
| Worksite | Hybrid/Remote |
| Role Type | Individual Contributor |
| Profession | Data Engineering |
| Discipline | Data Analytics, Product Analytics, Data Modeling, Data Science |
| Postal Code | Multiple Locations in the US (Refer to the list above) |
About Meta
At Meta, we strive to connect the world through innovative technologies and provide insights that guide product development. The Data Engineering team plays a crucial role in shaping the future of Meta’s data-driven products, helping millions of businesses and billions of users worldwide.
Job Summary for Data Engineer, Product Analytics at Meta:
The Data Engineer will be responsible for building data models, designing data extraction processes, and collaborating with cross-functional teams to identify data needs, build solutions, and support Meta’s business objectives. You will work with massive datasets and help build scalable systems to address product, growth, and user experience challenges across Meta’s entire ecosystem.
Responsibilities for Data Engineer, Product Analytics:
- Manage and execute data warehouse plans to solve well-defined business problems.
- Identify data needs for various business problems and implement the necessary logging to ensure data availability.
- Collaborate with engineers, product managers, and data scientists to understand data requirements and communicate key insights.
- Design, build, and launch new data models and visualizations for Meta’s products, ensuring that data privacy, security, and quality standards are met.
- Mentor others in the team on efficient query design and best practices for building data pipelines.
- Optimize existing processes running in production to improve performance and efficiency.
- Manage service-level agreements (SLAs) for data sets within allocated areas of ownership.
- Drive data-driven decision-making by influencing product development and identifying new opportunities.
Essential Skills for Data Engineer, Product Analytics:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
- At least 2+ years of experience working with data in roles like data analyst, data engineer, or data scientist.
- Proficiency in SQL, ETL processes, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.).
- Strong background in data engineering and building scalable data solutions.
- Experience in data extraction, transformation, and loading (ETL) processes in production.
Preferred Qualifications for Data Engineer, Product Analytics:
- Master’s or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics).
- Experience in cloud-based data platforms like AWS, Azure, or Google Cloud.
- Proficiency in building data pipelines and automating data-related tasks.
- Ability to influence product development through data insights and recommendations.
- Strong communication skills to explain complex data insights to stakeholders.
Salary Information:
The estimated CTC for this role ranges from INR 15,00,000 to 20,00,000 per annum, depending on experience and qualifications.
Click Below to Apply for Data Engineer, Product Analytics at Meta
FAQs for Data Engineer, Product Analytics at Meta:
1. What does the Data Engineer role entail?
As a Data Engineer at Meta, you will manage and execute data warehouse plans, build and launch new data models, and work with cross-functional teams to drive data-based insights and solutions across Meta’s products.
2. What qualifications are required for this role?
A Bachelor’s degree in Computer Science or a related field, along with 2+ years of experience in data roles, and proficiency in SQL, ETL, and data modeling.
3. What are the preferred qualifications?
A Master’s or Ph.D. degree in a STEM field, and experience with cloud data platforms, data pipelines, and automating data tasks.
4. Where is the position located?
The position is available in multiple locations, including Sunnyvale, Menlo Park, Seattle, San Francisco, and more.
5. How can I apply for this position?
You can apply through Meta’s official career portal.
