Sr. Data Engineer
We are seeking a Senior Data Engineer to join a growing data engineering team responsible for building and scaling an enterprise data platform. This role will focus on developing cloud-based data pipelines within Google Cloud Platform (GCP) while also supporting elements of a legacy on-premise data warehouse environment during an ongoing cloud migration.<br><br>The ideal candidate will have strong experience building scalable data pipelines, event-driven data architectures, and cloud-native data services. This is a great opportunity to contribute to a rapidly expanding data ecosystem and help drive the transition to modern cloud data platforms.<br><br>Key Responsibilities<br><br>Design, build, and maintain data pipelines within Google Cloud Platform (GCP)<br><br>Develop event-driven data streaming solutions using Pub/Sub<br><br>Build and maintain Python-based services using Cloud Run<br><br>Develop and optimize BigQuery datasets and queries<br><br>Integrate new data sources into the enterprise data platform<br><br>Maintain and support existing ETL processes within SQL Server<br><br>Work with SSIS and stored procedures in legacy data environments<br><br>Monitor, troubleshoot, and optimize data pipeline performance<br><br>Collaborate with engineering teams to support data-driven initiatives<br><br>Participate in on-call rotations for production systems<br><br>Required Qualifications<br><br>5+ years of experience in Data Engineering<br><br>Strong experience with Google Cloud Platform (GCP)<br><br>Experience building data pipelines and ETL processes<br><br>Experience with Pub/Sub or event-driven data streaming<br><br>Strong experience with BigQuery<br><br>Proficiency in Python<br><br>Experience with Cloud Run or similar serverless services<br><br>Strong SQL experience including SQL Server<br><br>Experience with SSIS or similar ETL tools
<ul><li>5+ years of experience as a senior-level data engineer</li><li><strong>Google Cloud Platform (GCP)</strong></li><li><strong>Pub/Sub</strong> for streaming/event-driven pipelines</li><li><strong>BigQuery</strong></li><li><strong>DataStream</strong></li><li><strong>Python</strong> development for cloud services</li><li><strong>Cloud Run</strong></li><li><strong>SQL Server</strong> administration and <strong>SSIS/ETL development</strong></li><li>Ability to work independently and hit the ground running</li></ul>
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- Las Vegas, NV
- onsite
- Permanent / Full Time
-
120000 - 125000 USD / Yearly
- We are seeking a Senior Data Engineer to join a growing data engineering team responsible for building and scaling an enterprise data platform. This role will focus on developing cloud-based data pipelines within Google Cloud Platform (GCP) while also supporting elements of a legacy on-premise data warehouse environment during an ongoing cloud migration.<br><br>The ideal candidate will have strong experience building scalable data pipelines, event-driven data architectures, and cloud-native data services. This is a great opportunity to contribute to a rapidly expanding data ecosystem and help drive the transition to modern cloud data platforms.<br><br>Key Responsibilities<br><br>Design, build, and maintain data pipelines within Google Cloud Platform (GCP)<br><br>Develop event-driven data streaming solutions using Pub/Sub<br><br>Build and maintain Python-based services using Cloud Run<br><br>Develop and optimize BigQuery datasets and queries<br><br>Integrate new data sources into the enterprise data platform<br><br>Maintain and support existing ETL processes within SQL Server<br><br>Work with SSIS and stored procedures in legacy data environments<br><br>Monitor, troubleshoot, and optimize data pipeline performance<br><br>Collaborate with engineering teams to support data-driven initiatives<br><br>Participate in on-call rotations for production systems<br><br>Required Qualifications<br><br>5+ years of experience in Data Engineering<br><br>Strong experience with Google Cloud Platform (GCP)<br><br>Experience building data pipelines and ETL processes<br><br>Experience with Pub/Sub or event-driven data streaming<br><br>Strong experience with BigQuery<br><br>Proficiency in Python<br><br>Experience with Cloud Run or similar serverless services<br><br>Strong SQL experience including SQL Server<br><br>Experience with SSIS or similar ETL tools
- 2026-04-15T00:00:00Z