Data Engineer - Sales Engineering

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!

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We are looking for Data Engineers to build and drive data engineering initiatives within our Sales Engineering Product Area at Spotify which is based within the broader Financial Engineering Mission. This powerhouse team is accountable for delivering technology projects and production support to Advertising Sales, Marketing, and other go-to-market (GTM) functions!As a Data Engineer on the Sales Engineering team, you will be instrumental in designing and streamlining data ingestion pipelines from multiple sources to not only recognize value and insights, but to also set standards along the way. Above all, your work will impact the way the world experiences music and podcasts.

What You'll Do:

  • Closely work with product managers and business stakeholders to come up with innovative ideas and solutions on continuously improving the processes.
  • Design, develop, and test data-driven products and features
  • Work with state-of-the-art data processing frameworks, technologies, and platforms
  • Improve data quality through testing, tooling and continuously evaluating performance
  • Work with other software engineers, data analysts, data scientists, and decision-makers, such as product owners, to build solutions and gain novel insights.
  • Gain technical expertise in building a data platform at scale to solve business, product and technical use cases
  • Work in Google Cloud Platform and technology/languages such as BigQuery, Scala, Scio and Docker
  • Work in multi-functional agile teams with end-to-end responsibility for product development and delivery within your mission
  • Apply a Data centric approach to all the platforms, pipelines and engineering activities

Who You Are:

  • An BS/MS in Computer Science or any other relevant fields of study
  • 4+ years of professional software engineering and programming experience (Java, Python, Scala) in an agile working environment
  • 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems
  • Strong coding skills for analytics and data engineering (Scala, Java and Python)Engineering experience with large scale distributed data technologies and tools in a large global consumer product company
  • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
  • You have experience working on and building new distributed data pipelines that ingest huge amounts of data across multiple sources and brands
  • You have experience with GCP (preferred) or AWS
  • You are knowledgeable about data modeling, data access, and data storage techniques
  • You care about agile software processes, data-driven development, reliability, and testability.
  • Experience in operating and maintaining production grade software
  • Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
  • Ad Tech experience is a plus

Where You'll Be:

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within theAmericas region in which we have a work location
  • Prefer an office 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: Agile Architecture AWS BigQuery Computer Science Data pipelines Data quality Distributed Systems Docker Engineering GCP Google Cloud Pipelines Python Scala Streaming Testing

Perks/benefits: Home office stipend Team events

Region: North America
Country: United States
Job stats:  11  0  0
Category: Engineering Jobs

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