Data Engineer, Product Analytics

Meta; San Francisco (CA); On-site; USD 145,000 - 204,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to join their innovative team. In this pivotal role, you will design and build extensive data sets that shape experiences for billions of users across a suite of applications. Collaborating with cross-functional teams, you will tackle complex data challenges and optimize solutions to enhance growth and user experience. This position offers a unique opportunity to be part of a world-class data engineering community focused on skill development and career growth. If you're passionate about data and eager to make a significant impact, this is the perfect opportunity for you.

Qualifications

• 4+ years of experience working with data in relevant roles.
• Proficient in SQL, ETL processes, and data modeling.

Responsibilities

• Build optimal data artifacts to address key questions.
• Collaborate with teams to design scalable data solutions.
• Ensure data security and quality for complex analytical problems.

Skills

SQL

ETL

Data Modeling

Python

C++

C#

Scala

Data Analysis

Education

Bachelor's degree in Computer Science

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

Job description

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.

Responsibilities

1. Guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions.
2. Refine our systems, design logging solutions, and create scalable data models.
3. Ensure data security and quality, and suggest architecture and development approaches to address complex analytical problems.
4. Use data to shape product development, identify new opportunities, and tackle upcoming challenges.
5. Present data-driven stories and influence partners using clear insights and recommendations.
6. Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs.
7. Create and contribute to frameworks that improve logging data efficacy, triaging issues and resolving them.
8. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights meaningfully.
9. Define and manage Service Level Agreements for all data sets in allocated areas of ownership.
10. Implement the security model based on privacy requirements and evolve governance processes.
11. Design, build, and launch collections of sophisticated data models and visualizations that support various use cases.
12. Solve challenging data integration problems utilizing optimal ETL patterns and frameworks.
13. Assist in optimizing existing processes running in production through advanced algorithmic concepts.
14. Optimize pipelines, dashboards, frameworks, and systems for easier development of data artifacts.
15. Influence product and cross-functional teams to identify data opportunities.
16. Mentor team members by giving and receiving actionable feedback.

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent.
2. 4+ years of experience where the primary responsibility involves working with data (data analyst, data scientist, data engineer, or similar roles).
3. 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.).

Preferred Qualifications

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

Compensation: US$145,000/year to US$204,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on any legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures.

Apply for this job and take the first step toward a rewarding career at Meta.