Senior Data Engineer

What you'll do

• Develop scalable, secure data pipelines moving data from on-premise systems to Google Cloud Platform services.
• Build and maintain reusable frameworks for ingestion, transformation, quality, and orchestration.
• Create standardized feature transformation pipelines and a common feature store with high availability and lineage.
• Develop Python and SQL libraries for common patterns like SCD, data quality checks, and masking.
• Provide orchestration capabilities using Cloud Composer or Cloud Workflows with integrated CI/CD pipelines.
• Implement robust data modeling and semantic layer implementations using BigQuery.
• Enforce data quality, lineage, and observability through standardized metrics and monitoring dashboards.
• Partner with data scientists to migrate existing models onto GCP infrastructure.

What we're looking for

• 4+ years of Data Engineering experience or equivalent through work, training, military service, or education.
• 4+ years of experience creating analytics or data science solutions in public clouds like GCP, AWS, or Azure.
• 4+ years of hands-on experience with Python and/or Go for building data pipelines, libraries, and automation tooling.
• 4+ years of experience with GCP or equivalent open source orchestration tools and CI/CD for data workloads.
• 2+ years of hands-on experience building and implementing predictive AI models using machine learning algorithms.
• Experience with logging/monitoring stacks, automated testing, and model governance such as drift and bias detection (preferred).
• Experience with model development and operations technologies like Vertex, Bedrock, SageMaker, or MLFlow (preferred).
• Experience with advanced modeling techniques, generative AI solutions, or data optimization for RAGs (preferred).