Data Engineer

  • location: New York, NY
  • type: Contract
  • salary: $70 - $75 per hour
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job description

Data Engineer

job summary:
What you'll do

Design, build and maintain a "licensing specific" data infrastructure, which captures all data points needed by the licensing external partners and by the internal licensing team

Design, build and maintain the standard reporting for licensing external partners (major labels and publishers). For examples: top charts, free trial conversion, market share, top search, active users etc

Partner with licensing data scientists to drive business insights on labels and publishers

Partner with licensing data scientists and the broader licensing team to drive partners business reviews

Design, build and maintain ad-hoc solutions and data pipeline to gather relevant data across the sprawling data infrastructure of Spotify

Become the center of excellence for data collection, data taxonomy and data filtering specific to licensing partners.

Drive automation of standard reporting and distribution wherever possible

Who you are

You are self-driven and have a good understanding of the business and communicate well with non-data colleagues.

You are interested in being the glue between engineering and analysis and feel comfortable working in a business oriented team.

You are Innovative and able to come up with new solutions to very tricky problems

You are passionate about crafting clean code and have a steady foundation in coding

You know Scala and Python language

You have experience in developing/building data pipelines (batch or streaming)

You are familiar with ETL (extract, transform and load)

Tools and infrastructure such as GCP (google cloud platform) is a plus, as well as familiarity with Amazon or Azure cloud.

At least 2-3 years of relevant experience, i.e. software engineering working with data analysis, data modeling, data processing as well as

 
location: New York, New York
job type: Contract
salary: $70 - 75 per hour
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
What you'll do

Design, build and maintain a "licensing specific" data infrastructure, which captures all data points needed by the licensing external partners and by the internal licensing team

Design, build and maintain the standard reporting for licensing external partners (major labels and publishers). For examples: top charts, free trial conversion, market share, top search, active users etc

Partner with licensing data scientists to drive business insights on labels and publishers

Partner with licensing data scientists and the broader licensing team to drive partners business reviews

Design, build and maintain ad-hoc solutions and data pipeline to gather relevant data across the sprawling data infrastructure of Spotify

Become the center of excellence for data collection, data taxonomy and data filtering specific to licensing partners.

Drive automation of standard reporting and distribution wherever possible

Who you are

You are self-driven and have a good understanding of the business and communicate well with non-data colleagues.

You are interested in being the glue between engineering and analysis and feel comfortable working in a business oriented team.

You are Innovative and able to come up with new solutions to very tricky problems

You are passionate about crafting clean code and have a steady foundation in coding

You know Scala and Python language

You have experience in developing/building data pipelines (batch or streaming)

You are familiar with ETL (extract, transform and load)

Tools and infrastructure such as GCP (google cloud platform) is a plus, as well as familiarity with Amazon or Azure cloud.

At least 2-3 years of relevant experience, i.e. software engineering working with data analysis, data modeling, data processing as well as

 
qualifications:
What you'll do

Design, build and maintain a "licensing specific" data infrastructure, which captures all data points needed by the licensing external partners and by the internal licensing team

Design, build and maintain the standard reporting for licensing external partners (major labels and publishers). For examples: top charts, free trial conversion, market share, top search, active users etc

Partner with licensing data scientists to drive business insights on labels and publishers

Partner with licensing data scientists and the broader licensing team to drive partners business reviews

Design, build and maintain ad-hoc solutions and data pipeline to gather relevant data across the sprawling data infrastructure of Spotify

Become the center of excellence for data collection, data taxonomy and data filtering specific to licensing partners.

Drive automation of standard reporting and distribution wherever possible

Who you are

You are self-driven and have a good understanding of the business and communicate well with non-data colleagues.

You are interested in being the glue between engineering and analysis and feel comfortable working in a business oriented team.

You are Innovative and able to come up with new solutions to very tricky problems

You are passionate about crafting clean code and have a steady foundation in coding

You know Scala and Python language

You have experience in developing/building data pipelines (batch or streaming)

You are familiar with ETL (extract, transform and load)

Tools and infrastructure such as GCP (google cloud platform) is a plus, as well as familiarity with Amazon or Azure cloud.

At least 2-3 years of relevant experience, i.e. software engineering working with data analysis, data modeling, data processing as well as

 
skills: What you'll do

Design, build and maintain a "licensing specific" data infrastructure, which captures all data points needed by the licensing external partners and by the internal licensing team

Design, build and maintain the standard reporting for licensing external partners (major labels and publishers). For examples: top charts, free trial conversion, market share, top search, active users etc

Partner with licensing data scientists to drive business insights on labels and publishers

Partner with licensing data scientists and the broader licensing team to drive partners business reviews

Design, build and maintain ad-hoc solutions and data pipeline to gather relevant data across the sprawling data infrastructure of Spotify

Become the center of excellence for data collection, data taxonomy and data filtering specific to licensing partners.

Drive automation of standard reporting and distribution wherever possible

Who you are

You are self-driven and have a good understanding of the business and communicate well with non-data colleagues.

You are interested in being the glue between engineering and analysis and feel comfortable working in a business oriented team.

You are Innovative and able to come up with new solutions to very tricky problems

You are passionate about crafting clean code and have a steady foundation in coding

You know Scala and Python language

You have experience in developing/building data pipelines (batch or streaming)

You are familiar with ETL (extract, transform and load)

Tools and infrastructure such as GCP (google cloud platform) is a plus, as well as familiarity with Amazon or Azure cloud.

At least 2-3 years of relevant experience, i.e. software engineering working with data analysis, data modeling, data processing as well as


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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