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META
Redmond, WA, United States
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
Job Source: METAMETA
Seattle, WA, United States
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
Job Source: METAMETA
Redmond, WA, United States
Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help
Job Source: METAThriftBooks
Seattle, WA, United States
As an analytics engineer at ThriftBooks, your mission is to make working with data a delightful experience for data consumers. Everything you do aligns to that one mission. Your customers are data scientists, business analysts, and executives. To accomplish your mission, you will use dbt to deliver well-defined, transformed, tested, documented, and
Job Source: ThriftBooksMeta Platforms, Inc.
Bellevue, WA, United States
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.) Job Title: Data Engineer (Analytics) Job Code: REQ-2406-139078 Job Location: Bellevue, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $205,380/year to $205,380/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, e
Job Source: Meta Platforms, Inc.Meta Platforms, Inc.
Seattle, WA, United States
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.) Job Title: Data Engineer, Analytics Job Code: REQ-2406-138616 Job Location: Seattle, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $199,234/year to $235,400/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, exp
Job Source: Meta Platforms, Inc.Mindlance
Seattle, WA, United States
Job Description: Summary: The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization's data assets. Job Responsibilities: • Mana
Job Source: MindlanceSnowflake
Bellevue, WA, United States
Build the future of data. Join the Snowflake team. Senior Software Engineer- Analytical Products We're at the forefront of the data revolution, committed to building the world's greatest data and applications platform. Our 'get it done' culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a
Job Source: SnowflakeSeattle, WA, United States
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 visually 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.
5+ years experience in the data warehouse space.
5+ years experience in custom ETL design, implementation and maintenance.
5+ years experience with object-oriented programming languages.
7+ years experience with schema design and dimensional data modeling.
7+ years experience in writing SQL statements.
Experience analyzing data to identify gaps and inconsistencies.
Experience managing and communicating data warehouse plans to internal clients.
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
Experience influencing product decisions with data.
Public Compensation:
$173,000/year to $242,000/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 [email protected].
Email Alert for Data Engineer, Product Analytics jobs in Seattle, WA, United States
ⓘ There was an unexpected error processing your request.
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