Data Engineer, User Growth

New York City

Applications have closed

Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

View company page

The Growth team is responsible for driving MAU and subscriber growth for Spotify globally through efforts to gather, retain, covert, and upsell across free and paid user funnels. Those efforts include global scale lifecycle programs, promotional campaigns, as well as campaigns with fully coordinated local market strategies.
We are looking for an expert engineer with a strong data/infra background to join the Growth Team. You will be the first data engineer directly embedded with this growth marketing org and drive the development and maintenance of datasets for user growth campaigns run by the Growth Team. You will work on crafting robust and scalable solutions for marketing campaign datasets, collaborating with data scientists, engineers, and marketing partners across the org and the company. You will play a meaningful role in the success of high impact and forecast critical user growth campaigns and be the founding member of a function that we have the ambition to staff up over time. 

What you'll do

  • Support marketing partners with data orchestration needs around campaign targeting and user segmentation, campaign performance analysis and insights, and experimentation
  • Own and operate data pipelines generating a number of core datasets for the Growth Team and analytics counterparts
  • Collaborate with various teams to craft a scalable data model that meets the needs of the business
  • Work with innovative data processing frameworks, technologies, and platforms.

Who you are

  • 3 - 5 years of work experience crafting and building highly scalable data pipelines preferably with exposure to Scala, Java or Python, and experience with source code management tools for version control like GitHub, Bitbucket etc.
  • Proficient in SQL based databases, ideally with familiarity of cloud-based data warehousing solutions such as BigQuery
  • You are familiar with distributed computing frameworks, such as Spark, Scio, Hadoop, Dataflow, Beam
  • You understand database operations and can reason about them, including:
  • Indexing and schemas
  • Column store vs row store schemas
  • Groups, joins, and aggregations
  • Experience working multi-functionally with data engineers, data scientists, and marketing managers
  • You are comfortable working in an environment where data ownership and maintenance is distributed across many teams
  • You are able to operate optimally and autonomously across multiple teams in situations of ambiguity, with only high-level direction
  • Bonus if you have worked on supporting an internal marketing organization
  • Computer science knowledge is a plus

Where you'll be

  • You are located in EST or willing to relocate to NYC
  • Prefer to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
  • Working hours? We operate within the Eastern Standard time zone for collaboration
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This role is not eligible for hire in Colorado, USA.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: BigQuery Bitbucket Computer Science Dataflow Data pipelines Data Warehousing GitHub Hadoop Pipelines Python Scala Spark SQL Streaming Testing

Perks/benefits: Career development Startup environment

Region: North America
Country: United States
Job stats:  5  2  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.