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As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.
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Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
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Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. 4+ years of work experience in data engineering (a minimum of 2+ years with a Ph. D.
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Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C. 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.
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Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.
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Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems. Influence product and cross-functional teams to identify data opportunities to drive impact.
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Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
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Define and manage SLA for all data sets in allocated areas of ownership. Experience working with terabyte to petabyte scale data. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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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.
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C#, Scala, etc.) Master's or Ph. D degree in a STEM field. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
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Mentor team members by giving/receiving actionable feedback. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need any assistance or accommodations due to a disability, please let us know at.
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Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries. 2+ years of work experience in data engineering.
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Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. Meta participates in the E-Verify program in certain locations, as required by law.
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In this role, you will see a direct correlation between your work, company growth, and user satisfaction.
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data science jobs Title: data engineer Company: Facebook
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