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Software Engineer, Data

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April 13, 2024 Updated June 3, 2024 3 minute read

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Software engineers specializing in data are responsible for designing, developing, testing, and deploying software solutions for data management, analytics, and visualization. They work closely with data scientists and analysts to understand the data needs of the business and to develop software solutions that meet those needs. Software engineers specializing in data typically have a strong foundation in computer science and software engineering, as well as a deep understanding of data structures, algorithms, and database management systems.

Skills and Knowledge

Software engineers specializing in data typically have the following skills and knowledge:

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Salaries for Software Engineer, Data

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$160,000

$210,000

$285,000

$210,000

San Francisco

$158,000

$228,000

$348,000

$228,000

Seattle

$125,000

$167,000

$220,000

$167,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$160,000

$210,000

$285,000

$210,000

San Francisco

$158,000

$228,000

$348,000

$228,000

Seattle

$125,000

$167,000

$220,000

$167,000

Austin

$145,000

$214,000

$318,000

$214,000

Toronto

$103,000

$137,000

$180,000

$137,000

London

£59,000

£75,000

£97,000

£75,000

Paris

€50,000

€60,000

€85,000

€60,000

Berlin

€47,000

€66,000

€90,000

€66,000

Tel Aviv

₪267,000

₪367,000

₪522,000

₪367,000

Singapore

S$137,000

S$174,000

S$210,000

S$174,000

Beijing

¥304,000

¥560,000

¥780,000

¥560,000

Shanghai

¥129,000

¥215,000

¥330,000

¥215,000

Shenzhen

¥138,000

¥211,000

¥263,000

¥211,000

Bengalaru

₹225,000

₹362,000

₹573,000

₹362,000

Delhi

₹1,280,000

₹2,164,000

₹3,568,000

₹2,164,000

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

Path to Software Engineer, Data

Take the first step.

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

Sorted from most relevant to least relevant:

Capstone: Retrieving, Processing, and Visualizing Data with Python

Capstone: Retrieving, Processing, and Visualizing Data...

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Exploring NCAA Data with BigQuery

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Reading list

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