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Urgent! Data Engineering Leader, Analytics Job Opening In New York – Now Hiring Meta
**Summary:**
We are seeking a Data Engineering leader to drive the direction of products that impact over 1 billion people daily.
As a key member of our team, you will work closely with cross-functional partners to build data architecture that informs and drives insight, supporting key decision making and investment.
You will have the opportunity to work with some of the brightest minds in the industry, utilize cutting-edge technology, and observe your efforts directly impact company growth and user satisfaction.
**Required Skills:**
Data Engineering Leader, Analytics Responsibilities:
1.
Mission and Strategy: Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it
2.
Team Building: Build and scale a high-quality BI and Data Warehousing team
3.
Cross-Functional Collaboration: Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs
4.
Data Warehouse Management: Lead data warehouse plans and ensure alignment with product vertical goals
5.
Data Model and Pipeline Development: Lead the design, building, and launching of new data models and pipelines in production
6.
Data Quality Assurance: Ensure data quality across the product vertical and related business areas
7.
Dashboard and Visualization Delivery: Manage the delivery of impactful dashboards and data visualizations
8.
Service Level Agreements: Define and manage SLAs for all data sets and processes in production
9.
Possess in depth data infrastructure and architecture skills, a proven track record of leading and scaling data engineering teams, operational expertise, project management leadership, and a vision for how data engineering can proactively improve companies
10.
Define processes to achieve operational efficiency, including project management and system reliability
**Minimum Qualifications:**
Minimum Qualifications:
11.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12.
Project management experience
13.
Data architecture experience
14.
Experience in SQL or similar languages
15.
9+ years of experience in BI and Data Warehousing
16.
2+ years of experience managing managers
17.
Communication and leadership experience, with experience initiating and driving projects
18.
Experience scaling and managing 10+ person teams
19.
Development experience in at least one object-oriented language (Python, Java, etc.)
**Preferred Qualifications:**
Preferred Qualifications:
20.
Experience in a consumer web or mobile company
21.
Advanced Degree in Computer Science, Math, Physics, or other technical fields
22.
Experience with data sets, Hadoop, and data visualization tools
**Public Compensation:**
$206,000/year to $281,000/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 in New York, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineering in New York, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 75972 jobs in United States and 2758 jobs in New York. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Meta is currently hiring and seeking a Data Engineering Leader, Analytics to join their team. Feel free to download the job details.
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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:The average salary range for a Data Engineering Leader, Analytics Jobs United States varies, but the pay scale is rated "Standard" in New York. 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.
Key qualifications for Data Engineering Leader, Analytics typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Engineering Leader, Analytics interview at Meta, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Meta's products or services and be prepared to discuss how you can contribute to their success.
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