Meta
Overview
Summary:
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads. You will design and build large-scale data sets and collaborate with software engineering, data science, and product management teams to design scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3+ billion users and internal employees. You will identify and solve data challenges at scale and join a world-class data engineering community focused on skill development and career growth. You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions, refine systems, design logging solutions, and create scalable data models. You will ensure data security and quality, suggest architecture and development approaches, and establish data management standards to address complex analytical problems. Product leadership:
You will use data to shape product development, identify new opportunities, and tackle challenges, prioritizing projects and driving innovative solutions to add value for users and businesses. Communication and influence:
You will tell data-driven stories, influence partners with clear insights and recommendations, and build credibility through structure and clarity as a trusted strategic partner. Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems.
Create and contribute to frameworks that improve logging data efficacy, 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 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 privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Solve data integration problems using optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Assist in owning existing production processes, 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 and receiving actionable feedback.
Qualifications
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience (or equivalent).
4+ years of experience where the primary responsibility involves working with data (e.g., data analyst, data scientist, data engineer, or similar).
4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.).
Preferred Qualifications
Master's or Ph.D degree in a STEM field.
Compensation
Public Compensation:
$145,000/year to $204,000/year + bonus + equity + benefits Industry
Internet Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, veteran status, disability status, or other legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Meta participates in the E-Verify program in certain locations, as required by law. Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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Summary:
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads. You will design and build large-scale data sets and collaborate with software engineering, data science, and product management teams to design scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3+ billion users and internal employees. You will identify and solve data challenges at scale and join a world-class data engineering community focused on skill development and career growth. You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions, refine systems, design logging solutions, and create scalable data models. You will ensure data security and quality, suggest architecture and development approaches, and establish data management standards to address complex analytical problems. Product leadership:
You will use data to shape product development, identify new opportunities, and tackle challenges, prioritizing projects and driving innovative solutions to add value for users and businesses. Communication and influence:
You will tell data-driven stories, influence partners with clear insights and recommendations, and build credibility through structure and clarity as a trusted strategic partner. Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems.
Create and contribute to frameworks that improve logging data efficacy, 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 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 privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Solve data integration problems using optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Assist in owning existing production processes, 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 and receiving actionable feedback.
Qualifications
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience (or equivalent).
4+ years of experience where the primary responsibility involves working with data (e.g., data analyst, data scientist, data engineer, or similar).
4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.).
Preferred Qualifications
Master's or Ph.D degree in a STEM field.
Compensation
Public Compensation:
$145,000/year to $204,000/year + bonus + equity + benefits Industry
Internet Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, veteran status, disability status, or other legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Meta participates in the E-Verify program in certain locations, as required by law. Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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