Data Engineer
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together- Design, model, or implement data warehousing activities to contribute to the design and development of Meta products.
- Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.
- Identify the data needed for a business problem and implement logging required to ensure availability of 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.
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
- Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
- Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries.
- Support existing processes running in production and implement optimized solutions with limited guidance.
- Define and manage SLA for data sets in allocated areas of ownership.
- Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
- Exercise judgment within defined procedures and practices to determine appropriate action.
- Master’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Statistics, Data Analytics, Business Analytics, Mathematics, Applied Sciences, or a related field and 2 years of experience in Data Engineering-related roles.
Requires 2 years of experience in the following: - 1. Data Visualization using Tableau, R, Python, or PowerBI
- 2. Legacy Data Migration
- 3. Database systems including relational, distributed, NoSQL, or object databases
- 4. Custom ETL design, implementation, and maintenance
- 5. Object-oriented programming languages including Python, Java, PHP, and C++
- 6. Schema design and dimensional data modeling
- 7. Writing SQL statements
- 8. Analyzing data to identify deliverables, gaps, and inconsistencies
- 9. Managing and communicating data warehouse plans to internal clients.
$185,000/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: Business Analytics Computer Science Data Analytics Data quality Data visualization Data warehouse Data Warehousing Engineering ETL Java Mathematics NoSQL OOP PHP Physics Power BI Privacy Python R Security SQL Statistics Tableau VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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