Data Engineer, Product Analytics

Facebook; New York (NY); On-site; USD 114,000 - 171,000; Full time

Job summary

Meta is looking for a Data Engineer to shape data solutions across its expansive product ecosystem, including Facebook and Instagram. The role involves designing scalable data models and collaborating with cross-functional teams to optimize user experiences and drive product development using data insights.

Benefits

bonus

equity

benefits

Qualifications

• 2+ years experience working with data and databases.
• 2+ years experience with SQL, ETL, and programming languages.

Responsibilities

• Manage and execute data warehouse plans for a product.
• Collaborate with engineers and product managers to understand data needs.
• Design, build and launch new data models and visualizations.

Skills

SQL

ETL

Data Modeling

Python

Data Analytics

C++

C#

Scala

Education

Bachelor's degree in Computer Science

Master's or Ph.D degree in a STEM field

Job description

**Summary:**

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

**Required Skills:**

Data Engineer, Product Analytics Responsibilities:

1. Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems

2. Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve

3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way

4. Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership

5. Design, build and launch new data models and visualizations in production, leveraging common development toolkits

6. Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries

7. Support existing processes running in production and implement optimized solutions with limited guidance

8. Define and manage Service Level Agreements for data sets in allocated areas of ownership

**Minimum Qualifications:**

Minimum Qualifications:

9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

10. 2+ 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

11. 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

**Preferred Qualifications:**

Preferred Qualifications:

12. Master's or Ph.D degree in a STEM field

**Public Compensation:**

$114,000/year to $171,000/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].