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At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve…
Senior Business Intelligence - Data Science Analyst Company: The Boeing Company The Boeing Company has an exciting opportunity for a highly skilled and motivated Senior Business Intelligence - Data Science Analyst to…
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Job Description What is the opportunity? RBC Cards is Canada's leading credit card business and a significant driver of RBC's financial performance. In this role, you will support the strategy, execution, and…
ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud Platform (GCP).…
Senior Data Engineer leading a migration from Teradata to an AWS Lakehouse with Databricks, building scalable pipelines and modernizing legacy code using dbt and Airflow.
Build and migrate data pipelines from Teradata to AWS Lakehouse using Databricks, dbt, Airflow, and Iceberg for a regulated financial services client.
Senior Data Engineer builds and maintains enterprise data pipelines and ETL processes in cloud and warehouse environments for a large federal government program.
Senior Data Engineer builds and optimizes AWS-based data pipelines for a financial-sector client, using DBT, Glue, EMR, and Redshift to transform and load large datasets while enforcing data quality and regulatory standards.
Senior Data Engineer builds and maintains scalable ETL pipelines and distributed data infrastructure using Python, Spark, AWS, and GCP.
Build and maintain scalable data pipelines using Python, Spark, and cloud services (AWS/GCP) to process and transform large datasets efficiently.
Mid-level Data Engineer designs and maintains data models, builds SAP Business Objects Universes, and optimizes data pipelines for BI reporting.
Designs and builds data pipelines, models, and reports using SQL, Python, and big-data tools to turn raw data into insights for business decisions.
Designs and builds data pipelines, models, and warehouses to collect, clean, and analyze large datasets, enabling AI-driven insights and strategic business decisions.
Test Analyst/Senior Test Analyst validates data warehouses and ETL pipelines using Teradata, BigData, SQL, and BI tools like Tableau, ensuring accurate reporting and dashboards.
Analyzes data using PL-SQL and Teradata to support business decisions and stakeholder needs, with optional digital analytics tools like Adobe or Google.
Designs data models, writes SQL, and architects data warehouses for large-scale analytics, using ETL, big data platforms, and visualization tools.
Design and build cloud-native data solutions on Azure Synapse Analytics, including monitoring, security, and performance tuning for data warehouses and lakes.
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