New!
Data Analytics Engineer Spotify USA, Inc.
New York, NY2 days ago
- $108,097–$162,145 Per Year
Highlights
The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools.
Numbers & Facts
| Location | Secaucus, NJ |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
Description
Job Details:
We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery.
• Implement data modeling, transformation, and orchestration best practices for analytics workflows.
• Collaborate with data scientists, analysts, and business teams to deliver insights via Looker dashboards and reports.
• Ensure data reliability, quality, and governance across multiple data sources.
• Optimize BigQuery queries, partitions, and clustering for performance and cost efficiency.
• Write Python scripts for automation, data processing, and integration with APIs.
• Implement CI/CD practices for data pipeline deployments.
• Monitor, troubleshoot, and improve data infrastructure performance and reliability.
• Document data models, pipelines, and dashboards to ensure transparency and maintainability.
We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery.
• Implement data modeling, transformation, and orchestration best practices for analytics workflows.
• Collaborate with data scientists, analysts, and business teams to deliver insights via Looker dashboards and reports.
• Ensure data reliability, quality, and governance across multiple data sources.
• Optimize BigQuery queries, partitions, and clustering for performance and cost efficiency.
• Write Python scripts for automation, data processing, and integration with APIs.
• Implement CI/CD practices for data pipeline deployments.
• Monitor, troubleshoot, and improve data infrastructure performance and reliability.
• Document data models, pipelines, and dashboards to ensure transparency and maintainability.
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