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Data Engineer - Advertising

79% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE
Remote: 
Full Remote
Contract: 
Full time
Salary: 
123 - 175K yearly
Work from: 
New York (USA)

Offer summary

Qualifications:

Proven experience in data engineering with distributed systems like Hadoop or GCP, Familiarity with Scio, GCP Dataflow, AWS EMR, and Apache Beam, Strong programming skills in Python, Java, or Scala, Commitment to agile processes, data-driven development, reliability, Hands-on experience with orchestration tools like Airflow.

Key responsabilities:

  • Maintain & enhance Spotify's measurement pipelines for efficient data collection
  • Build large-scale batch and real-time data pipelines for processing
  • Enhance data models & ETL code to improve efficiency and quality
  • Collaborate with stakeholders to translate business requirements into technical solutions
  • Write scalable, testable, and high-quality code
Spotify logo
Spotify Music XLarge https://www.lifeatspotify.com/
5001 - 10000 Employees
HQ: Stockholm
About Spotify
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 opportunity to enjoy and be inspired by it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.
See more Spotify offers

Job description

Logo Jobgether

Your missions

The ADP Measurement team is dedicated to assessing the impact of marketing activities throughout the customer journey. Our mission is to help advertisers gauge the effectiveness of their marketing efforts. As part of our team, you will play a key role in shaping and realizing our vision to enhance the advertising experience for our clients and establish Spotify as a market leader in advertising.

We are looking for data engineers to join our Advertising Data team. Our team is charged with creating next-gen advertising measurement products. You’ll be able to grow your skills in engineering at scale, drive a ton of business impact, and join a high-energy, positive team environment! You'll build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform, and, Apache Beam. Develop, deploy, and operate Java services that impact millions of users. Collaborate with other engineers, product managers, and stakeholders, taking on learning and leadership opportunities that will arise every single day.

What You'll Do
  • Maintain and enhance Spotify’s measurement pipelines, ensuring they remain business-critical.
  • Build large-scale batch and real-time data pipelines for efficient collection, processing, and storage of measurement-related data.
  • Make enhancements to data models and ETL code to improve pipeline efficiency and data quality.
  • Work closely with stakeholders to understand business requirements and translate them into technical solutions.
  • Write scalable, testable, maintainable, and high-quality code.
  • Collaborate with engineers, product managers, and other stakeholders, embracing learning and leadership opportunities daily.
  • Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines.

    • Who You Are
  • You have proven experience in data engineering with high-volume, heterogeneous data, ideally within distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure.
  • You are familiar with data processing frameworks like Scio, GCP Dataflow, AWS EMR, and Apache Beam.
  • You have strong programming skills in Python, Java, or Scala.
  • You are committed to agile software processes, data-driven development, reliability, and responsible experimentation.
  • You have hands-on experience with orchestration tools like Airflow or similar
  • You have excellent problem-solving and communication skills.

    • 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 the North America region in which we have a work location and is within working hours
  • Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.
  • 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.
    • The United States base range for this position is $122,716 - 175,308.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

    Required profile

    Experience

    Industry :
    Music
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Data EngineeringDistributed SystemsPythonJavaScalaAgile Software ToolsWorkflow OrchestrationGoogle Cloud Platform (GCP)Airflow

    Soft Skills

    • Excellent Communication
    • Problem Solving
    • Proactive Mindset
    • Reliability
    • Leadership
    Are you interested?

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