Data Engineer – Analytics (Hybrid) | USA | Full-Time
Job Description
Job Title and Overview
Job Title: Data Engineer – Analytics
Industry: Technology / Social Media
Location: USA (Hybrid)
Job Type: Full-Time
Salary: $46.63/hour to $134,000/year + bonus + equity
Expected Hours: Will be discussed at interview time
Job Description
Meta is seeking a talented Data Engineer to join its Analytics team. This role is perfect for those passionate about Facebook’s products, analytics, and large-scale data technology. Using massive datasets, you will collaborate with product managers, analysts, and marketers to drive business decisions. The role is critical in enhancing user experience, acquisition, and retention.
As a Data Engineer, you will work on architecting data models, deploying data pipelines, and performing in-depth analyses. You’ll help manage and ensure data quality across Meta’s growing infrastructure. This is a rare opportunity to work with some of the brightest minds in the industry and tackle complex problems at scale. Your work will clearly and directly impact company growth and user satisfaction.
Responsibilities of the Data Engineer
The following are the responsibilities of the Data Engineer at Meta:
- Design, build, and deploy new data models and scalable data pipelines in production environments.
- Analyze large datasets to extract actionable business insights that drive strategic decisions.
- Collaborate closely with Engineers, Product Managers, and Product Analysts to identify data needs and align them with product goals.
- Take ownership of specific areas in the data warehouse, ensuring accuracy and consistency of data.
- Develop deep expertise in data systems while maintaining data quality across core business functions.
- Plan and manage data warehouse infrastructure for one or more products.
- Monitor and support essential production-level data processes, ensuring they run smoothly and efficiently.
Requirements for the Data Engineer
Given below are the qualifications, experience, and skills required for the Data Engineer at Meta:
Qualifications:
- A Bachelor’s or Master’s degree in Computer Science, Mathematics, Computer Engineering, or a related technical field.
- The degree must be completed before joining Meta.
Experience:
- Practical experience or a strong academic background in data engineering or related areas.
- Previous collaboration with diverse teams or departments is a plus.
Skills:
- Proficient in programming languages such as Python or Java.
- Strong command of SQL and database systems.
- An analytical mindset with a deep curiosity to work with data.
- Ability to work in a fast-paced environment and deliver impactful results.
Benefits
As a Data Engineer at Meta, you will enjoy a competitive and rewarding compensation package that includes:
- Salary: Base salary between $46.63 per hour and $134,000 per year, dependent on your qualifications, experience, and location.
- Bonuses and Equity: In addition to your base salary, Meta offers performance bonuses, equity options, and sales incentives (if applicable).
- Health and Wellness: Comprehensive healthcare plans covering medical, dental, and vision benefits, along with wellness programs to support your overall well-being.
- Work-Life Balance: Flexible working hours and paid leave for personal and family time.
- Career Development: Opportunities for training programs, professional growth, and advancement within Meta, ensuring you stay ahead in the industry.
- Additional Benefits: Access to Meta’s wide range of employee perks, including discounts, wellness initiatives, and programs to support your mental and physical health.
Shifts
The work hours for the Data Engineer position at Meta will be discussed during the interview process. Flexibility in working hours is offered, allowing the team to adjust based on project needs, deadlines, and personal preferences. Please note that specific shift details will be clarified during your hiring process to ensure alignment with both company requirements and individual schedules.
How to Apply
To apply for the Data Engineer position at Meta, please click on the apply button:
Ensure that your resume and relevant documents are up-to-date before submitting your application. Be sure to highlight any experience and skills related to data engineering, programming, and working with large datasets, as these are key aspects of the role.
Deadline to Apply
The deadline to apply for the Data Engineer position at Meta is May 25, 2025.
Be sure to submit your application before the closing date to ensure consideration for the role. Don’t miss the opportunity to join a dynamic team and make a significant impact at one of the leading tech companies in the world.
Work Authorization
At the time of hire, candidates must have work authorization in the country of employment and maintain ongoing work authorization throughout their employment. Meta requires that applicants have the legal right to work in the respective location and will not be providing sponsorship for work visas for this position.
Equal Opportunity Employer
Meta is an Equal Employment Opportunity and Affirmative Action employer. We are committed to providing a diverse and inclusive workplace, where we do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, disability, or any other legally protected characteristic. Meta ensures equal opportunity for all applicants and strives to provide a fair and respectful hiring process. We also consider qualified applicants with criminal histories, by applicable laws.
Company Overview
Meta, formerly known as Facebook, is a global technology company that builds platforms and tools to help people connect, communicate, and share experiences. Founded in 2004, Meta revolutionized the way people interact through its flagship platform, Facebook. Over the years, it expanded with apps like Messenger, Instagram, and WhatsApp, empowering billions worldwide.
Meta is now pushing the boundaries of technology with advancements in augmented and virtual reality, aiming to create immersive experiences that will redefine digital connection. The company is committed to driving innovation and shaping the future of social technology, transcending physical, digital, and even geographical limitations.
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