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Data Engineer, Analytics

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Summary:Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp 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. To apply, click "Apply to Job" online on this web page.Required Skills:Data Engineer, Analytics Responsibilities:- 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.- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.- Telecommuting from anywhere in the US permitted.Minimum Qualifications:Minimum Qualifications:- Bachelor's degree (or foreign degree equivalent) in Computer Science, Data Analytics Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and five years of work experience in the job offered or in a computer-related occupation.- Requires five years of experience in the following:- 1. Features, design, and use-case scenarios across a big data ecosystem- 2. Custom ETL design, implementation, and maintenance- 3. Object-oriented programming languages- 4. Schema design and dimensional data modeling- 5. Writing SQL statements- 6. Analyzing data to identify deliverables, gaps, and inconsistencies- 7. Managing and communicating data warehouse plans to internal clients, AND- 8. Python.Public Compensation:$195,201/year to $235,400/year + bonus + equity + benefitsIndustry: InternetEqual Opportunity:Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon 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, status as a protected veteran, status as an individual with a disability, or other applicable 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. Please note that 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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$215300.5 / YEARLY (est.)

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$195201K

$235400K

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What You Should Know About Data Engineer, Analytics, Meta

Are you ready to level up your career with an innovative company? Meta Platforms, Inc. is seeking a talented Data Engineer, Analytics in Augusta, ME, to join our dynamic team. At Meta, we're not just connecting people; we're building the next evolution in social technology through immersive experiences like augmented and virtual reality. As a Data Engineer, Analytics, you will be at the forefront of our data foundation, designing and implementing data warehousing strategies that will empower crucial decision-making across various products. Your role will involve creating sophisticated data models, collaborating with product managers and data scientists, and solving complex data integration challenges. We are not only looking for someone who can optimize data pipelines but also someone who can influence product teams to identify and leverage data opportunities. If you possess strong skills in ETL design, SQL, Python, and enjoying working within a big data ecosystem, this might be the perfect opportunity for you! We offer a competitive salary, excellent bonuses, and benefits to ensure you thrive within our community. Your journey at Meta will enable you to create impact through data and help not just our users but also our worldwide communities. If you’re ready to embark on this exciting journey with us, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Data Engineer, Analytics Role at Meta

What are the main responsibilities of a Data Engineer, Analytics at Meta?

As a Data Engineer, Analytics at Meta, you will be responsible for designing and implementing data warehousing activities that drive impactful decision-making. Your duties will include building sophisticated data models, collaborating with cross-functional teams, managing SLAs for data sets, and addressing security and governance challenges related to data quality. You'll also optimize data pipelines and work on diverse data integration problems.