Full-Time
Senior Data Engineer
Machine Learning
Posted on 8/19/2025
Meta
10,001+ employees
Global social networks and advertising platform
Compensation Overview
$218.3k - $235.4k/yr
Company Historically Provides H1B Sponsorship
Menlo Park, CA, USA
In Person
Candidates must live in or expect to work from California if hired.
 AI & Machine Learning (1) |
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 Data & Analytics (1) |
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- Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Analytics, Data Analytics, Data Science, Applied Sciences, or a related field and 1 year of work experience in the job offered or in an analytics or computer-related occupation
- 1 year of experience in designing interconnected components for end-to-end data management, including data collection, storage, integration, and utilization
- 1 year of experience in designing and building scalable data pipelines and ETL processes
- 1 year of experience in proficiency in object-oriented programming languages such as Python, PHP, and JavaScript
- 1 year of experience in big data technologies like MapReduce and Spark
- 1 year of experience in SQL and experience with relational databases (e.g., MySQL, PostgreSQL)
- 1 year of experience in data modeling, data warehousing, and building data lakes
- 1 year of experience in analyzing data to identify deliverables, gaps, and inconsistencies
- 1 year of experience in developing solutions to complex data problems using programming and scripting languages, employing parameterization and inheritance for reuse, and using tools like type systems, unit tests, and random testing to ensure program integrity
- 1 year of experience in data privacy and security best practices
- Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
- Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
- Define and manage SLA for all data sets in allocated areas of ownership.
- Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
- Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
- Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
- 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.
- Address diverse problems where data analysis requires evaluating identifiable factors.
- Innovate new ideas, techniques, or processes to address challenges or seize opportunities.
- Seek clarity on goals and priorities to ensure swift progress, escalating issues as needed to remove obstacles.
- Identify, prioritize, and achieve clear short, mid, and long-term goals aligned with business objectives, keeping the team focused on delivering results.
- Help Meta meet legal and regulatory obligations and make decisions that reflect our mission, values, and principles.
- Play a key role in enhancing machine learning explainability and tracking mechanisms.
- Strengthen our foundational ML data infrastructure to broaden analytical capabilities.
- Engage deeply in strategic growth areas for feed recommendations, a crucial driver of Meta's revenue.
- Possess the ability to comprehend machine learning workflows and manage complex ranking systems that serve billions of users.
- Collaborate daily with software and ML engineers to understand their workflows and develop analytics tools that enhance system and process insights.
Meta Platforms Inc. runs a family of social apps including Facebook, Instagram, and WhatsApp to help people connect, share content, and participate in online communities. It also develops virtual reality hardware and experiences through Oculus and is exploring the metaverse. Most revenue comes from advertising, with tools that let businesses target audiences using data from its large user base, plus VR product sales and digital services. The company differentiates itself by owning multiple major social platforms, offering a scalable cross-platform ad platform, and investing in VR, AR, and AI to expand digital experiences and monetization opportunities.
Company Size
10,001+
Company Stage
IPO
Headquarters
Menlo Park, California
Founded
2004
Simplify's Take
What believers are saying
- Q1 2026 revenue surges 33% to $56.3 billion from AI-enhanced advertising.
- Wisconsin approves $1B 220MW data center online in 2027 for AI expansion.
- Analysts project stock reaching $653–$792 in five years on ad and AI scale.
What critics are saying
- EU fines Meta 1.2 billion euros in 2023 for Facebook US data transfers violating GDPR.
- European Commission fines Meta 200 million euros in April 2025 for DMA data combination breaches.
- Elsevier, Cengage sue Meta on May 5, 2026, for Llama AI copyright infringement demanding damages.
What makes Meta unique
- Meta leverages AI for precise ad placement, generating $55 billion Q1 2026 revenue.
- Meta's vast platforms including Facebook, Instagram, WhatsApp enable unmatched audience targeting.
- Meta invests in Llama AI model, powering unique visual underage detection across platforms.
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Benefits
Stock Options
Company Equity
Mental Health Support
Flexible Work Hours
Company News
Opposition to data centres has become a significant issue ahead of the US midterm elections, with voters unseating local politicians who support them. Residents cite concerns over water pollution, noise, power demands and environmental degradation. In Missouri, four city council members lost their seats over supporting a $6 billion data centre. Similar ousters occurred in Independence, Missouri, and rural North Carolina. The backlash crosses party lines, prompting state legislatures nationwide to consider bills ranging from eliminating tax incentives to construction moratoriums. Despite generating substantial tax revenue and construction jobs, communities increasingly resist these developments. Virginia, which has the most data centres, is considering eliminating sales tax exemptions worth $1.9 billion. President Trump has acknowledged affordability concerns whilst supporting development, though his proposals lack enforcement mechanisms.
Meta is raising prices for its Quest VR headsets by $50–$100 (12–20%) from 19 April, citing a global surge in memory chip prices affecting consumer electronics. However, Meta's own spending priorities have contributed to this component shortage. The company plans to spend $115–$135 billion on capital expenditures this year, up from $72 billion in 2025 and $28 billion in 2023, with most investment directed towards AI infrastructure. This includes $21 billion for data centre company CoreWeave and $10 billion for an El Paso data centre. Meta's AI spending forms part of $630 billion in industry-wide AI infrastructure investment pledged for 2026, driving up prices for RAM and GPUs. Meanwhile, Meta is reportedly planning spending cuts of up to 30% for its metaverse division, which has accumulated $73 billion in losses.
Meta and Broadcom have announced a strategic partnership under which the chipmaker will provide technology supporting Meta's training and inference accelerator chips through 2029. The deal extends Meta's custom AI chip development plans as the social media giant continues to invest in artificial intelligence infrastructure.
Meta and Broadcom have announced an extended partnership through 2029 for designing Meta's custom AI accelerators. Meta has committed to deploying one gigawatt of its training and inference accelerators under the agreement. The deal expands an existing collaboration between the two companies focused on Meta's in-house chip development. As part of the arrangement, Broadcom CEO Hock Tan has agreed to leave Meta's board of directors. Broadcom shares rose 3% in extended trading following the announcement. The partnership underscores Meta's continued investment in custom silicon to power its artificial intelligence infrastructure and reduce reliance on third-party chip suppliers.
Broadcom and Meta have announced a multi-year strategic partnership to support Meta's AI compute infrastructure through 2029. The collaboration centres on Meta Training and Inference Accelerator (MTIA) chips, with an initial deployment exceeding one gigawatt as part of a sustained multi-gigawatt rollout. The partnership will deliver what the companies call the industry's first 2nm AI compute accelerator. Broadcom will provide its XPU platform for chip co-development and advanced Ethernet technologies for networking across Meta's expanding AI compute clusters. The technology will underpin Meta's deployment of generative AI features across WhatsApp, Instagram and Threads. Meta aims to deliver what it calls "personal superintelligence" to billions of users globally. Broadcom CEO Hock Tan will transition from Meta's board to an advisory role focusing on Meta's custom silicon roadmap.