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Data Engineering Manager, Analytics Job Opening In Bellevue – Now Hiring Meta


Job description

**Summary:**
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight.

In this role, there will be a direct link between your work, company growth, and user satisfaction.

You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics Responsibilities:
1.

Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2.

Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3.

Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4.

Manage data warehouse plans, drive data quality, and ensure operational efficiency
5.

Design, build, and launch new data models and pipelines in production
6.

Deliver high-impact dashboards and data visualizations
7.

Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8.

Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9.

A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10.

8+ years of experience in BI and Data Warehousing
11.

Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12.

Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13.

Experience communicating results of analysis to executive leadership
14.

Project management experience
15.

Data architecture experience
16.

Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17.

2+ years of experience managing people with experience scaling and managing 3+ person teams
18.

Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19.

Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
20.

Experience with Big Data, Hadoop, and Data visualization tools
21.

Advanced degree (e.g.: Master of Science, PhD)
22.

Experience working with user facing Products
**Public Compensation:**
$173,000/year to $242,000/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 accommodations-ext@fb.com.


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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


Real-time Data Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineering in Bellevue, United States, highlighting market share and opportunities for professionals in Data Engineering roles.

76039 Jobs in United States
76039
332 Jobs in Bellevue
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Download Data Engineering Jobs Trends in Bellevue and United States

Are You Looking for Data Engineering Manager, Analytics Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Meta adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Data Engineering Manager, Analytics Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bellevue. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineering Manager, Analytics?

Key qualifications for Data Engineering Manager, Analytics typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Engineering Manager, Analytics Job Success

Meta interview tips for Data Engineering Manager, Analytics

Here are some tips to help you prepare for and ace your Data Engineering Manager, Analytics job interview:

Before the Interview:

Research: Learn about the Meta's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Final Thought:

To prepare for your Data Engineering Manager, Analytics interview at Meta, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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