Data Engineer, Analytics

AECOM; Redmond (WA); On-site; USD 130,000 - 155,000; Full time

Job summary

A leading company in the technology sector is seeking a Data Engineer to build and optimize data models and visualizations. The role involves collaborating with engineers and product managers, ensuring data quality, and managing SLAs. Ideal candidates will have a Bachelor's degree and expertise in Python, SQL, and various dashboarding tools. Competitive compensation and benefits are offered.

Qualifications

• Familiarity with custom ETL design and implementation.
• Knowledge of data warehousing and data integration best practices.
• Experience with data management and analysis.

Responsibilities

• Design and implement data warehousing activities.
• Collaborate with engineers and product managers to fulfill data needs.
• Optimize data pipelines and dashboards.

Skills

Python

SQL

ETL

Data Visualization

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Information Systems

Bachelor's degree in Mathematics

Tools

Tableau

PowerBi

Unidash

Job description

**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. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

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

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

5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.

6. 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.

7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.

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

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

10. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

11. Exercise judgment within defined procedures and practices to determine appropriate action.

12. Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries.

13. Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.

**Minimum Qualifications:**

Minimum Qualifications:

14. Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field.

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

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

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

18. 3. Object-oriented programming languages

19. 4. Schema design and dimensional data modeling

20. 5. Writing SQL statements

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

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

23. 8. MapReduce or MPP system

24. 9. Python

25. 10. Dashboarding tools: Unidash, Tableau, or PowerBi.

**Public Compensation:**

$130,928/year to $154,660/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 [e-mail].