Senior Data Engineer - Personalization
Boston, MA
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!Spotify is looking for a Data Engineer to join the team! You will build data driven solutions to bring music and media experiences to hundreds of millions of users and creators by matching fans with creators in a personal and relevant way. You will seek sophisticated data problems using some of the most diverse datasets — user behaviors, acoustical analysis, revenue streams, cultural and contextual data, and other signals across a range of mobile and connected platforms. Above all, your work will change the way the world experiences art!
What You'll Do:
- Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Storm or Spark and the Google Cloud Platform.
- Deliver scalable, testable, maintainable, and high-quality code.
- Demonstrate standard methodologies in continuous integration and delivery.
- Help drive optimization, testing and tooling to improve data quality.
- Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
- Be a technical leader within the team you work with and within Spotify in general.
- Facilitate and drive collaboration with engineers, product managers and partners to seek exciting and results-oriented user-centric data problems.
- Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.
Who You Are:
- You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra. Ideally you have also built innovative solutions that address current limitations of these technologies.
- You have used one or more high-level JVM-based processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, or something we didn’t list- but not just Pig/Hive/BigQuery/other SQL-like abstractions.
- You have proven understanding about data modeling, data access, and data storage, caching, replication, and optimization techniques.
- You have experience with user-centric feature engineering for ML systems.
- You have worked in a cloud-native (GCP preferred) development and production environment where all CI/CD take place
- You care about agile software processes, data development, reliability, and responsible experimentation.
- You understand the value of collaboration within teams.
- You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members.
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 Americas 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.
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 345 million users.
Tags: Agile BigQuery Bigtable Cassandra CI/CD Dataflow Data pipelines Distributed Systems Engineering Feature engineering GCP Google Cloud Hadoop Machine Learning Pipelines Spark SQL Streaming Testing
Perks/benefits: Equity
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.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs