Data Engineer

Meta

Meta builds technologies that help people connect, find communities, and grow businesses through social platforms like Facebook, Instagram, WhatsApp, and immersive AR/VR experiences.

New York, NY, USA

$182,000 - $196,900

Data

Mid-Level Software Engineer

In-Person

5,000+ Employees

2+ years of experience

AI · AR/VR · Social Media

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Description For Data Engineer

Meta (formerly Facebook) is seeking a Data Engineer to join their team in New York. This role is crucial in managing and executing data warehouse plans for Meta's suite of social technology products, including Facebook, Instagram, WhatsApp, and their emerging AR/VR platforms.

The position requires a skilled professional with 2 years of experience in data engineering, particularly in working with large-scale data systems (terabyte to petabyte scale). The ideal candidate will have strong expertise in SQL, ETL processes, and data modeling, along with proficiency in programming languages such as Python, C++, C#, or Scala.

As a Data Engineer at Meta, you'll be responsible for building and maintaining data infrastructure that powers insights across the company's products. Your role will involve collaborating with cross-functional teams, including engineers, product managers, and data scientists, to understand and fulfill data needs while ensuring data quality, privacy, and security.

Key responsibilities include designing and implementing data models, creating visualizations, managing ETL processes, and establishing SLAs for data sets. You'll work on solving complex data challenges while maintaining high standards for data governance and compliance.

Meta offers a competitive compensation package ranging from $182,000 to $196,900 per year, plus bonus and equity opportunities. The company provides comprehensive benefits and the chance to work on technologies that impact billions of users worldwide. This is an excellent opportunity for someone passionate about data engineering who wants to contribute to the next evolution of social technology, including Meta's ventures into augmented and virtual reality.

Last updated 3 months ago

Responsibilities For Data Engineer

Manage and execute data warehouse plans for products to solve well-scoped problems
Identify data needs and implement logging requirements
Collaborate with engineers, product managers and data scientists
Build data expertise and leverage data controls for privacy, security, and compliance
Design, build and launch new data models and visualizations
Design, build and launch new ETL processes
Support existing processes and implement optimized solutions
Define and manage SLA for data sets

Requirements For Data Engineer

Python

Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related field
2 years of experience with SQL
2 years of experience with ETL
2 years of experience with data modeling
Experience with Python, C++, C#, or Scala
Experience with data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, or data privacy
Experience working with terabyte to petabyte scale data

Benefits For Data Engineer

Medical Insurance

Equity

bonus
equity
benefits

Meta

Meta builds technologies that help people connect, find communities, and grow businesses through social platforms like Facebook, Instagram, WhatsApp, and immersive AR/VR experiences.

New York, NY, USA

$182,000 - $196,900

Data

Mid-Level Software Engineer

In-Person

5,000+ Employees

2+ years of experience

AI · AR/VR · Social Media

Meta

Snapshot Array

Data Structures & AlgorithmsMedium

Implement a SnapshotArray that supports the following interface: SnapshotArray(int length) initializes an array-like data structure with the given length. Initially, each element equals 0. void set(index, val) sets the element at the given index to be equal to val. int snap() takes a snapshot of the array and returns the snap_id: the total number of times we called snap() minus 1. int get(index, snap_id) returns the value at the given index, at the time we took the snapshot with the given snap_id For example: Input: [SnapshotArray,set,snap,set,get] [[3],[0,5],[],[0,6],[0,0]] Output: [null,null,0,null,5] Explanation: SnapshotArray snapshotArr = new SnapshotArray(3); // set the length to be 3 snapshotArr.set(0,5); // Set array[0] = 5 snapshotArr.snap(); // Take a snapshot, return snap_id = 0 snapshotArr.set(0,6); snapshotArr.get(0,0); // Get the value of array[0] with snap_id = 0, return 5 What data structures and algorithms are best suited for this problem? What are the time and space complexities of each operation?

Arrays

Binary Search

Meta

Design an autocomplete service.

System DesignHard

Design an Autocomplete Service Let's design an autocomplete service, similar to what you'd find in Google Search or a code editor. The service should provide suggestions as the user types a query. Consider the following requirements: Functionality: The service should return the top k most relevant suggestions based on the user's input. Suggestions should be ranked by popularity (e.g., frequency of search). The system should support a large number of concurrent users. The system should be able to handle a large vocabulary of terms. The service needs to provide real-time or near real-time suggestions (low latency). The service should be fault-tolerant and highly available. Example: If a user types softw, the service might return: [software engineer, software developer, software company, software jobs]. If a user types ja, the service might return: [java, javascript, jakarta, james]. Considerations: How would you store the data to enable fast lookups? How would you handle updates to the suggestion data (e.g., new terms, updated popularity)? How would you scale the system to handle a large number of requests? What algorithms and data structures would you use? How would you optimize for latency? How would you handle different languages or character sets? How would you measure the performance of the service? Walk me through the design of this autocomplete service, considering the key components, data structures, algorithms, and scaling strategies. Describe any trade-offs you would make.

Database Problems

Strings

Greedy Algorithms

Arrays

Meta

Tell me about a time you had to sign an NDA and your responsibilities under it.

Behavioral

Tell me about a time when you had to sign a Non-Disclosure Agreement (NDA). Please provide specific details about the situation, including the parties involved, the nature of the confidential information, and the purpose of the NDA. Describe the scope of the agreement, including what was covered and any limitations. Explain your responsibilities under the NDA and how you ensured compliance with its terms. What steps did you take to protect the confidential information? Did you face any challenges in complying with the NDA, and if so, how did you overcome them? Share any lessons you learned from this experience regarding confidentiality and intellectual property protection. For example, imagine you were working on a sensitive project involving a new product or technology. You had to sign an NDA with a third-party vendor or partner to share certain confidential details. What were the key terms of the NDA, and how did you ensure that you and your team adhered to them? Or, describe a situation where you left a previous company and signed an NDA regarding trade secrets and customer information. How did you navigate your subsequent work to avoid any potential conflicts or violations of the NDA?

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