Now Hiring: Data Engineering Manager Analytics | Instagram (Meta)
Meta is seeking an experienced and visionary Data Engineering Manager – Analytics to join the Instagram analytics organization. This role is based in San Francisco and plays a critical part in shaping data-driven decision-making for products used by billions of people worldwide.
As a Data Engineering Manager, you will lead high-impact analytics initiatives, manage and grow a team of data engineers and analytics engineers, and partner closely with Product, Engineering, Data Science, and Leadership teams. Your work will directly influence product strategy, user experience, and business outcomes across Instagram.
Role Overview
The Data Engineering Manager – Analytics will be responsible for building, scaling, and optimizing business intelligence platforms, data models, and analytics pipelines. You will own the analytics data infrastructure that powers executive dashboards, experimentation insights, and strategic reporting.
This role requires a blend of technical depth, leadership excellence, and strong business acumen.
Job Location & Compensation
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Role: Data Engineering Manager – Analytics
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Organization: Meta (Instagram)
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Location: San Francisco, California (Onsite/Hybrid)
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Salary Range: $173,000 – $242,000 per year
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Additional Compensation: Performance Bonus, Equity (RSUs), Comprehensive Benefits
Key Responsibilities
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Lead and mentor a team of Data Engineers and Analytics Engineers, fostering a culture of technical excellence and collaboration
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Define and execute the BI and analytics engineering strategy for Instagram’s product and business teams
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Design, build, and maintain production-grade data pipelines, ETL frameworks, and data warehouses
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Develop scalable dimensional data models that support self-service analytics and experimentation
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Partner with Product Managers and Leadership to translate business questions into data-driven insights and dashboards
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Ensure data quality, reliability, governance, and performance across large-scale datasets
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Drive best practices in data modeling, documentation, and analytics workflows
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Support executive-level reporting and strategic decision-making with accurate and timely insights
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Collaborate cross-functionally with Data Science, Software Engineering, and Infrastructure teams
Required Qualifications
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Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field
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8+ years of experience in data engineering, analytics engineering, or business intelligence
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3+ years of experience managing or leading technical data teams
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Strong expertise in SQL, data warehousing, and large-scale analytics systems
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Experience designing data models that support dashboards, experimentation, and metrics frameworks
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Proven ability to communicate complex data insights to technical and non-technical stakeholders
Preferred Skills & Experience
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Experience working with modern BI tools and analytics platforms
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Familiarity with distributed data systems and cloud-based data infrastructure
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Strong understanding of product analytics, KPIs, and experimentation frameworks
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Prior experience in consumer internet, social media, or large-scale tech platforms
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Ability to balance hands-on technical contribution with people leadership
What Meta Offers
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Opportunity to lead analytics for one of the world’s most influential digital products
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Competitive compensation including salary, bonus, and equity
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Comprehensive health, wellness, and financial benefits
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Exposure to complex, large-scale data challenges impacting billions of users
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A collaborative and innovative work environment that values impact and growth
Why Join Instagram at Meta
At Meta, data is at the core of every product decision. As a Data Engineering Manager – Analytics, you will shape how insights are generated, trusted, and acted upon—helping define the future of Instagram through data-driven innovation.
