Data Engineer - Platform Mission (Remote Eligible - Americas)
New York, NY
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!
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
We are looking for a Data Engineer to join a team within the Platform organization whose mission is to improve the user experience for dataset producers and consumers through the development, implementation, and promotion of "Golden Dataset" data quality standards. Golden Datasets are key foundational datasets that support important Spotify features and are critical for our business. It is a new and exciting program where you will get the chance to work with experienced data engineers across Spotify, driving improvements in data quality at the source.
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.
We are looking for a Data Engineer to join a team within the Platform organization whose mission is to improve the user experience for dataset producers and consumers through the development, implementation, and promotion of "Golden Dataset" data quality standards. Golden Datasets are key foundational datasets that support important Spotify features and are critical for our business. It is a new and exciting program where you will get the chance to work with experienced data engineers across Spotify, driving improvements in data quality at the source.
What you'll do:
- Work with teams across Spotify, providing them with hands-on support to improve the quality of their data
- Help shape and define best practices for data production and consumption in areas such as data modeling, integrity controls, documentation, and interface stability, versioning and change management
- Initiate and drive improvements through company-wide programs and certification processes related to code and data quality
- Help map the landscape of Spotify data entities, focusing on foundational datasets that support critical features, leading to a well-established catalog of entities and improving the overall quality of their data
Who you are:
- You have strong coding skills, preferably in Scala, Python, and Java
- You have experience with JVM-based data processing frameworks such as Beam and Spark
- You are knowledgeable about data modeling, data access, and data storage techniques and are passionate about evangelizing their best practices
- Value building strong relationships with colleagues and multiple partners
- You are able to adapt quickly to different teams and environments, being able to switch context quickly while maintaining productivity and effectiveness
- Care deeply about code and data quality and voicing support for standard methodologies
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 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: Python Scala Spark Streaming
Perks/benefits: Career development
Regions:
Remote/Anywhere
North America
Country:
United States
Job stats:
30
4
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.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs