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ThriftBooks
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.
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.META
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 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: METAMindlance
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: MindlancemyGwork - LGBTQ+ professionals & allies
Seattle, WA, United States
This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community. Description As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online - providing customers with the opportunity to find and discover virtually anything they want to b
Job Source: myGwork - LGBTQ+ professionals & alliesAmazon
Seattle, WA, United States
Description As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exc
Job Source: AmazonBellevue, 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, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.
Duties:
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.
Requirements:
Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Technology and Management, or related field and 36 months of experience in the job offered or in a related occupation.
Requires 36 months of experience in the following:
Features, design, and use-case scenarios across a big data ecosystem;
Custom ETL design, implementation, and maintenance;
Schema design and dimensional data modeling;
Writing SQL statements;
Analyzing data to identify deliverables, gaps, and inconsistencies;
Managing and communicating data warehouse plans to internal clients; and,
Python.
To apply, please send resume to the following email address [email protected] & include the job order number visible to you above in the subject line of the email. It is important to include the job order number in the subject line of the email. Also include the Ref code number: REQ-2406-139078.
Email Alert for Data Engineer (Analytics) jobs in Bellevue, WA, United States
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