Data Engineer
Menlo Park, CA
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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 (Foreign equivalent accepted) in Data Science, Data Analytics, Computer Engineering, Computer Science, or a related field. Position requires completion of a university level course, research project, or internship or 6 months of experience in each of the following:
- 1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
- 2. Data visualization via Tableau, R, or Python
- 3. Programming in Hack, C/C++, Python, Perl, Java, or PHP
- 4. Internet technologies: HTTP, HTML, CSS, or JavaScript
- 5. Writing and optimizing SQL statements
- 6. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
- 7. Data governance standard and data privacy compliance
- 8. Data processing automation
- 9. Data warehousing architecture and plans
- 10. Informatica, Talend, Pentaho, dimensional data modeling, or schema design
- 11. Map Reduce or MPP system
- 12. Machine Learning and Artificial Intelligence fundamentals
- 13. Statistics methods: descriptive statistics, hypothesis testing, and regression analysis
- 14. Distributed processing technologies and frameworks, such as Hadoop, and distributed storage systems (e.g., HDFS, S3)
- 15. Spark programming: code writing, debugging and optimization.
182.616 $/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 Meta is proud to be an Equal Employment Opportunity 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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Tags: Architecture Computer Science Data Analytics Data governance Data pipelines Data visualization Data warehouse Data Warehousing Engineering ETL Hadoop HDFS Informatica Java JavaScript Machine Learning Map Reduce MPP Pentaho Perl PHP Physics Pipelines Privacy Python R Research Spark SQL Statistics Tableau Talend Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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