채용

Data Engineer, Product Analytics

Meta

Tel Aviv, Israel

On-site

Full-time

1mo ago

Benefits & Perks

•Flexible PTO policy

•Health, dental, and vision coverage

•Annual team offsites

•Wellness benefits

•Top Tier compensation with equity

•Learning and development stipend

Required Skills

TensorFlow

Python

SQL

Data Engineer, Product Analytics

1 month ago• Tel Aviv, Israel
Apply on company site

About Us

Meta builds technologies that help people connect, find communities and grow businesses.
Size: 10000+ employees

Industry: Engineering, Social Media, Technology

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, Whats App, 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 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.

Data Engineer, Product Analytics Responsibilities:

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on ations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
7+ 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
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:

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

About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Client-provided location(s): Tel Aviv, Israel

Job ID: a1KDp00000E2ae6MAB

Employment Type: OTHER

Posted: 2025-12-19T19:54:41
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Perks and Benefits

Health and Wellness

Health Insurance
Health Reimbursement Account
Dental Insurance
Vision Insurance
Life Insurance
Short-Term Disability
Long-Term Disability
FSA
FSA With Employer Contribution
HSA
HSA With Employer Contribution
Fitness Subsidies
On-Site Gym
Mental Health Benefits

Parental Benefits

Birth Parent or Maternity Leave
Non-Birth Parent or Paternity Leave
Fertility Benefits
Adoption Assistance Program
Family Support Resources

Work Flexibility

Flexible Work Hours
Remote Work Opportunities
Hybrid Work Opportunities

Office Life and Perks

Commuter Benefits Program
Casual Dress
Happy Hours
Snacks
Some Meals Provided
Company Outings
On-Site Cafeteria
Holiday Events

Vacation and Time Off

Paid Vacation
Unlimited Paid Time Off
Paid Holidays
Personal/Sick Days
Sabbatical
Leave of Absence

Financial and Retirement

401(K)
401(K) With Company Matching
Pension
Company Equity
Performance Bonus
Relocation Assistance
Financial Counseling

Professional Development

Learning and Development Stipend
Promote From Within
Mentor Program
Shadowing Opportunities
Access to Online Courses
Lunch and Learns
Internship Program

Diversity and Inclusion

Company Videos

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