META
Summary:
Join Meta Platforms, Inc., a pioneer in building technologies that connect people and foster communities. Since its inception in 2004, Meta has revolutionized communication through platforms such as Messenger, Instagram, and WhatsApp. As we advance toward immersive experiences in augmented and virtual reality, we seek talented individuals to shape the future of social technology. Your Role:
As a Data Engineer specializing in Analytics, you will: Design, model, and implement data warehousing activities that inform critical decision-making across the organization. Create and deploy sophisticated data models and visualizations that cater to various use cases across diverse products and domains. Collaborate closely with engineers, product managers, and data scientists to assess data requirements and transform key insights into meaningful visual representations. Establish and manage service level agreements (SLAs) for all data sets within your area of responsibility. Contribute to frameworks that enhance logging efficacy while addressing data infrastructure challenges collaboratively. Develop and apply security models in compliance with privacy standards, ensuring data quality and evolving governance processes. Tackle complex data integration challenges using optimal ETL methods and frameworks, working with both structured and unstructured data. Optimize pipelines, dashboards, and systems to streamline the development of data artifacts. Engage with product and cross-functional teams to uncover data opportunities that amplify impact. Utilize analytical skills to address a wide range of problems, demonstrating good judgment in method selection and solution development. Telecommuting:
This position allows for flexible telecommuting from anywhere in the US. Minimum Qualifications:
Candidates must possess a Master’s degree or its foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related fields, coupled with three years of relevant experience. Proficiency in the following areas is required: Big data ecosystem features, design, and use-case scenarios. Custom ETL design and its implementation and maintenance. Object-oriented programming languages and schema design. Writing SQL statements and conducting data analysis to identify deliverables and discrepancies. Managing data warehouse plans for internal stakeholders. Experience with MapReduce, MPP systems, and Python. Public Compensation:
The salary range for this position is $220,720/year to $235,400/year, along with potential bonuses, equity, and benefits. Equal Opportunity:
Meta is an Equal Employment Opportunity and Affirmative Action employer committed to diversity and inclusion. We welcome applicants of all backgrounds and do not discriminate based on any legally protected characteristics. We also consider qualified candidates with criminal histories where permissible by law. Please reach out at accommodations-ext@fb.com if you require assistance or accommodations due to a disability during the recruitment process.
Join Meta Platforms, Inc., a pioneer in building technologies that connect people and foster communities. Since its inception in 2004, Meta has revolutionized communication through platforms such as Messenger, Instagram, and WhatsApp. As we advance toward immersive experiences in augmented and virtual reality, we seek talented individuals to shape the future of social technology. Your Role:
As a Data Engineer specializing in Analytics, you will: Design, model, and implement data warehousing activities that inform critical decision-making across the organization. Create and deploy sophisticated data models and visualizations that cater to various use cases across diverse products and domains. Collaborate closely with engineers, product managers, and data scientists to assess data requirements and transform key insights into meaningful visual representations. Establish and manage service level agreements (SLAs) for all data sets within your area of responsibility. Contribute to frameworks that enhance logging efficacy while addressing data infrastructure challenges collaboratively. Develop and apply security models in compliance with privacy standards, ensuring data quality and evolving governance processes. Tackle complex data integration challenges using optimal ETL methods and frameworks, working with both structured and unstructured data. Optimize pipelines, dashboards, and systems to streamline the development of data artifacts. Engage with product and cross-functional teams to uncover data opportunities that amplify impact. Utilize analytical skills to address a wide range of problems, demonstrating good judgment in method selection and solution development. Telecommuting:
This position allows for flexible telecommuting from anywhere in the US. Minimum Qualifications:
Candidates must possess a Master’s degree or its foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related fields, coupled with three years of relevant experience. Proficiency in the following areas is required: Big data ecosystem features, design, and use-case scenarios. Custom ETL design and its implementation and maintenance. Object-oriented programming languages and schema design. Writing SQL statements and conducting data analysis to identify deliverables and discrepancies. Managing data warehouse plans for internal stakeholders. Experience with MapReduce, MPP systems, and Python. Public Compensation:
The salary range for this position is $220,720/year to $235,400/year, along with potential bonuses, equity, and benefits. Equal Opportunity:
Meta is an Equal Employment Opportunity and Affirmative Action employer committed to diversity and inclusion. We welcome applicants of all backgrounds and do not discriminate based on any legally protected characteristics. We also consider qualified candidates with criminal histories where permissible by law. Please reach out at accommodations-ext@fb.com if you require assistance or accommodations due to a disability during the recruitment process.