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    Data Engineer, Product Analytics - Redmond, United States - META

    META
    META Redmond, United States

    3 weeks ago

    Meta background
    Description

    Summary:


    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.

    In this role, you will see a direct correlation between your work, company growth, and user satisfaction.

    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.


    Required Skills:

    Data Engineer, Product Analytics Responsibilities:
    Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

    Create and contribute to frameworks that improve the efficacy of logging data, 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 SLA 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 our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

    Assist in owning existing processes running in production, 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/receiving actionable feedback


    Minimum Qualifications:

    Minimum Qualifications:
    Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

    4+ years of work experience in data engineering (a minimum of 2+ years with a Ph.
    D)

    Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)


    Preferred Qualifications:

    Preferred Qualifications:
    Master's or Ph.
    D degree in a STEM field

    Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy

    Experience working with terabyte to petabyte scale data


    Public Compensation:
    $134,000/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 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-
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