Data Engineer
Bellevue, WA
Meta
Giving people the power to build community and bring the world closer together- Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
- Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.
- Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.
- Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
- Design, develop, test, and launch new data models and processes into production, and provide support.
- Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
- Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.
- Identify data infrastructure issues and drive to resolution.
- Requires a Master’s degree in Data Analytics Engineering, Computer Science, Engineering, Statistics, Mathematics, Physics, or a related field.
- Requires completion of a university-level course, research project, thesis, or internship involving the following:
- 1. Writing SQL statements
- 2. Data warehousing architecture and plans
- 3. Dimensional data modeling
- 4. Schema Design
- 5. Map Reduce
- 6. MPP System
- 7. Hadoop
- 8. Hive and
- 9. Data Visualization, Database System, Scala, R. Data Analysis, and Machine Learning.
$166,698/year to $196,900/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.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
Tags: Architecture Computer Science Data analysis Data Analytics Data pipelines Data visualization Data warehouse Data Warehousing Engineering ETL Hadoop Machine Learning Map Reduce Mathematics MPP Physics Pipelines R Research Scala SQL Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.