Top 2573 Data engineer, product analytics Jobs in Redmond, Wa

Data Engineer, Product Analytics
Meta —Bellevue, WA
- $177,000 - $247,000 a year
- Computer science
- 7 years
- Computer Science
Data Engineer
BNBuilders —Seattle, WA
- $80,000 - $85,000 a year
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Health savings account
Data Analyst, People Analytics
Microsoft —Redmond, WA
- $86,100 - $187,400 a year
- Full-time
- Computer Science
- Mid-level
- Business
1d
Data Engineer
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Azure
- Computer Science
3h
Data Visualization Engineer
Globenet Consulting Corp —Bellevue, WA
- $50 - $55 an hour
- Full-time
- Hybrid work
- SQL
- APIs
- Senior level
- Work from home
- Opportunities for advancement
Quick Apply
Digital Engineer Analytics 1
Community Transit —Everett, WA
- $101,355 - $152,033 a year
- Full-time
- Background check
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
Quick Apply
Data Engineer
Trupanion —Seattle, WA
- $130,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Free parking
- Paid holidays
11d
Data Scientist, Product Analytics
Meta —Seattle, WA
- $147,000 - $208,000 a year
- Computer science
- Computer Science
- Master's degree
Data Engineer, Amazon Prime Video Product Analytics
Amazon.com Services LLC —Seattle, WA
- $132,100 - $178,800 a year
- Full-time
- Mid-level
- 3 years
- SQL
- AD&D insurance
- Health insurance
Director, Data Engineering & Analytics
Bezos Academy —Seattle, WA
- $243,000 - $401,000 a year
- Email
- Azure
- Management
- 5 years
- Paid parental leave
- Paid holidays
Digital - Senior Analytics Engineer/Analytics Engineer, Digital Technology
Aritzia —Seattle, WA
- $100,000 - $300,000 a year
- Full-time
- Computer science
- Computer Science
- Office
9d
Senior Data Engineer
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Computer Science
- 3 years
- Master's degree
2d
Lead Data Engineer
PitchBook Data —Seattle, WA
- $175,000 - $220,000 a year
- Computer science
- Azure
- Computer Science
- Wellness program
- Paid parental leave
Data and Analytics Consultant
SEI —Seattle, WA
- $120,000 - $185,000 a year
- 8 years
- Math
- Presentation skills
Machine Learning Data Engineer
Outpost —Seattle, WA
- $130,000 - $160,000 a year
- Full-time
- Hybrid work
- Mid-level
- Analysis skills
- AI
- Paid holidays
- Health insurance
Data Engineer II
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Computer Science
- Mid-level
3d
Data Engineer II, AWS Analytics Engineering
Amazon Development Center U.S., Inc. —Seattle, WA
- $132,100 - $178,800 a year
- Full-time
- Computer Science
- 3 years
- Java
- AD&D insurance
- Health insurance
Senior Data Analyst
WASHINGTON STATE HOSPITAL ASSOCIATION —Seattle, WA
- $89,556 - $143,310 a year
- Full-time
- Hybrid work
- Writing skills
- Research
- Mid-level
- AD&D insurance
- Disability insurance
Data Engineer, SPTC
Amazon.com Services LLC —Seattle, WA
- $132,100 - $178,800 a year
- Full-time
- 3 years
- SQL
- Mentoring
- AD&D insurance
- Health insurance
Data Engineer
Weyerhaeuser —Seattle, WA
- $98,811 - $148,217 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid parental leave
- Health savings account

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Data Engineer, Product Analytics

Meta -
Bellevue, WA

Apply Now

Job Details

$177,000 - $247,000 a year

Qualifications

Data model design
Data Integration (Data management)
Data modeling projects
Schema design
Data-driven problem-solving

Full Job Description

As a Data Engineer 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, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

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 Service Level Agreements 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 Extract, Transform, Load (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:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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].

$177,000/year to $247,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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Refine Your Search

data engineer, product analytics jobs in redmond, wa

Data Engineer, Product Analytics

Data Engineer

Data Analyst, People Analytics

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Digital Engineer Analytics 1

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Data Scientist, Product Analytics

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Senior Data Engineer

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Data Engineer, SPTC

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