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Staff Data Engineer
Personalization
Posted on 7/26/2022
INACTIVE
Locations
Everett, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Apache Spark
AWS
BigQuery
Apache Kafka
Data Analysis
Google Cloud Platform
SQL
Requirements
  • You are the experienced leader that team members go to for help leveling-up their skills in data engineering and more
  • You have experience working directly with stakeholders to understand, document and develop systems to meet their requirements, driving increased adoption and reducing reliance on custom one-off implementations
  • You have an interest in machine learning technologies
  • You have worked with large-scale and high-volume heterogeneous data using distributed systems
  • You have used high-level JVM-based processing frameworks such as Apache Beam, Dataflow, Crunch, Scalding, Storm, Spark, or similar - but not just Pig/Hive/BigQuery SQL-like abstractions
  • You believe data is the most powerful tool for informed decision-making
  • You love working in an environment where you constantly experiment and iterate quickly
  • You have used message broker services (pub-sub pattern) such as Kafka, ActiveMQ, AWS SQS, Google PubSub or similar
  • You understand data modeling, data access, and data storage, caching, replication, and optimization techniques
  • You are comfortable with distributed teams and asynchronous communication
Responsibilities
  • Drive the evolution of our architecture and help to lead the implementation of this evolution
  • Coordinate technical projects across teams within Spotify
  • Influence, coach and mentor other Data Engineers. Be a leader, making your team a continuously better version of itself
  • Facilitate collaboration with other engineers to solve interesting and challenging problems
  • Collaborate with key internal team members building batch and real-time data pipelines with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform
  • Be a technical leader and valued contributor in an autonomous, multi-functional agile team
  • Collaborate with other engineers, product owners, and designers to identify and solve challenging problems, creating exciting music sessions for users worldwide
  • Be a leader of the Spotify-wide data community affecting and driving our architecture across the company
  • Work on what you want during regular hack days and annual hack weeks
Spotify

5,001-10,000 employees

Leading music and podcast streaming platform
Company Overview
Spotify's 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. Today, Spotify is the world’s most popular audio streaming subscription service with 406m users, including 180m subscribers, across 184 markets.
Benefits
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Global parental leave, six months off - fully paid - for all new parents
  • Flexible public holidays, swap days off according to your values and beliefs
  • Flexible share incentives letting you choose how you share in our success
  • All The Feels, our employee assistance program and self-care hub
  • Spotify On Tour, join your colleagues on trips to industry festivals and events
Company Core Values
  • Innovative: We move fast and take big risks
  • Sincere: We have no time for internal politics
  • Passionate: We revel in what we do
  • Collaborative: We recognize that we're all in this together
  • Playful: We don't take ourselves too seriously