Data Engineer, Analytics - AECOM : Job Details

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Engineer, Analytics Responsibilities:

1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.

2. Leverage distributed computing technologies and cloud-based infrastructure to process massive datasets efficiently.

3. Build collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

4. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.

5. Define and manage SLA for all data sets in allocated areas of ownership.

6. Support experimentation, machine learning models, and advanced analytics by providing well-structured and accessible data sources.

7. 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.

8. Craft ETL workflows and data models to manage structured and unstructured data, ensuring data accuracy, availability, and reliability across various applications and domains.

9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

10. Influence product and cross-functional teams to identify data opportunities to drive impact.

11. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

12. Actively contributing to the development of data engineering best practices and leading the adoption of cutting-edge technologies in data processing and analytics.

**Minimum Qualifications:**

Minimum Qualifications:

13. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field

14. Requires completion of a university-level course, research project, internship, or thesis in the following:

15. 1. Features, design, and use-case scenarios across a big data ecosystem

16. 2. Custom ETL design, implementation, and maintenance

17. 3. Object-oriented programming languages

18. 4. Schema design and dimensional data modeling

19. 5. Writing SQL statements

20. 6. Analyzing data to identify deliverables, gaps, and inconsistencies

21. 7. Managing and communicating data warehouse plans to internal clients

22. 8. MapReduce or MPP system

23. 9. Python.

**Public Compensation:**

$182,583/year to $196,900/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

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].