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Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
Build and scale cloud cost-tracking data pipelines using SQL, Python, and orchestration tools to enable FinOps transparency and optimization for enterprise clients.
Senior Data Engineer builds and scales ETL/ELT pipelines, optimizes Snowflake schemas, and implements DataOps workflows using Airflow/Prefect/Dagster in Python.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to power analytics and AI products, using SQL, Python, cloud tools, and modern orchestration like Airflow.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Senior Data Engineer builds scalable ELT/ETL pipelines and data models in Python, SQL, dbt, and Airflow on AWS and Snowflake to power cost attribution and financial modeling for cloud optimization.
Builds modern ELT pipelines with dbt and Data Vault 2.0, migrates legacy ETL, and maintains data transformations and integrations on Kubernetes.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Build and own ETL pipelines that reconcile royalty data from streaming platforms to ensure music creators are paid fairly, using Python, dbt, PostgreSQL, and Airflow.
Senior Data Engineer builds and scales a modern data platform with ETL/ELT pipelines, Snowflake schemas, and DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Build and maintain Bowtie’s data warehouse, ELT pipelines, and BI dashboards to power insurance analytics and regulatory reporting, while laying the groundwork for predictive analytics and AI integrations.
Builds ETL/ELT pipelines and inference layers for privacy-safe audience segmentation using aggregated historical data in cloud data warehouses.
Build and optimize scalable Snowflake-based data pipelines, own data models and governance, and integrate cloud-native apps while collaborating across North and Latin America teams.
Build and scale data pipelines and architecture for a growing product company using Python, SQL, dbt, Dagster, Docker, and Kubernetes.
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Build and maintain scalable data pipelines on Databricks and AWS, focusing on ETL, real-time streaming with Spark/Kafka, and cloud infrastructure optimization.
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Build and maintain scalable ETL pipelines and real-time data systems on AWS and Databricks for a regulated crypto exchange serving 18M+ users.
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