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Data Engineering Manager

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April 29, 2024 Updated June 6, 2024 3 minute read

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Data Engineering Manager: A Guide to a Rewarding Career in Data

Introduction

In today's data-driven world, the demand for skilled professionals who can manage and interpret data is higher than ever before. Data Engineering Managers are responsible for overseeing the design, implementation, and maintenance of data systems and infrastructure. They play a critical role in ensuring that organizations can effectively collect, store, process, and analyze their data. As a result, Data Engineering Managers are in high demand across a wide range of industries.

Day-to-Day Responsibilities

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Salaries for Data Engineering Manager

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$218,000

$265,000

$334,000

$265,000

San Francisco

$198,000

$255,000

$348,000

$255,000

Seattle

$200,000

$250,000

$310,000

$250,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$218,000

$265,000

$334,000

$265,000

San Francisco

$198,000

$255,000

$348,000

$255,000

Seattle

$200,000

$250,000

$310,000

$250,000

Austin

$186,000

$248,000

$352,000

$248,000

Toronto

$156,000

$202,000

$255,000

$202,000

London

£76,000

£96,000

£129,000

£96,000

Paris

€72,000

€88,000

€121,000

€88,000

Berlin

€88,000

€105,000

€133,000

€105,000

Tel Aviv

₪652,000

₪740,000

₪824,000

₪740,000

Singapore

S$104,000

S$132,000

S$186,000

S$132,000

Beijing

¥357,000

¥589,000

¥799,000

¥589,000

Shanghai

¥412,000

¥499,000

¥627,000

¥499,000

Bengalaru

₹3,250,000

₹4,560,000

₹7,430,000

₹4,560,000

Delhi

₹3,500,000

₹4,400,000

₹7,100,000

₹4,400,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Data Engineering Manager

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We've curated three courses to help you on your path to Data Engineering Manager. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Cours intensif sur la science des données

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Complete MLOps Bootcamp With 10+ End To End ML Projects

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Responsible AI for Developers: Interpretability & Transparency

Responsible AI for Developers: Interpretability &...

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Reading list

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