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Data Engineer
Build and maintain ETL/ELT pipelines and data warehouses to feed analytics and reporting, using cloud technologies like AWS/Azure and scripting in Python/PySpark.
Data Engineer
Designs and builds scalable GCP-based data pipelines using Dataflow, Pub/Sub, and BigQuery to ingest, process, and store batch and streaming data reliably.
Data Engineer: Cloud Pipelines & ETL for Growth
Build and maintain scalable cloud data pipelines and ETL processes using Python, SQL, and tools like Spark, Airflow, and Databricks across AWS, Azure, and Google Cloud.
Clinical Data Engineer/Enablement
Build and maintain cloud-based clinical data pipelines for biopharma, ensuring compliant, high-quality data delivery to downstream teams using AWS/Azure, Python, and CDISC standards.
Integration & Data Engineer | WFH
Design and maintain secure, reliable data flows between enterprise systems like CRM, ERP, and analytics platforms using APIs, ETL, and event-driven patterns.
Sr Data Engineer (Snowflake)
Senior Data Engineer builds and scales Snowflake-based cloud data platforms, designs ELT pipelines, and optimizes data models to power analytics and reporting across a fintech organization.
Data Engineer (Enterprise Data Warehouse)
Build and maintain scalable data pipelines and warehouse solutions using C#, .NET, Python, and Azure tools to power analytics and business intelligence.
Data Engineer - Orientación Gobierno de Datos
Build and maintain data pipelines, cleanse and validate datasets, and implement ETL/ELT processes using Microsoft Azure tools for a government data governance project.
Data Engineer - Databricks & AWS Data Pipelines
Design and maintain ETL/ELT pipelines using Databricks and Apache Spark while migrating data platforms to AWS.
Data Engineer
Build and maintain Python-based ETL pipelines for fund administration, converting raw financial data into formats for proprietary systems while supporting global teams.
GCP Data Engineer — BigQuery & Data Pipelines
Designs and builds scalable GCP data platforms using BigQuery and Dataflow to create ETL pipelines and ensure data security for business analytics.
Data Engineer
Design and build Snowflake-based data pipelines and ETL processes, optimize performance, and implement GenAI use cases using Snowflake Cortex.
Databricks Data Engineer: Pipelines & Data Quality
Designs and maintains data pipelines on Databricks, ensuring quality and implementing ETL processes to improve data accessibility and strategy.
Data Engineer
Designs and maintains scalable data pipelines and cloud-based ETL/ELT workflows using Python, SQL, and Azure/AWS to deliver clean datasets for analytics.
Staff Data Engineer
Designs and maintains scalable data architectures, ETL pipelines, and ML data workflows to support NLP training data transformation for a global language-services provider.
Data Engineer
Builds and automates ETL pipelines to feed reports, dashboards, and marketing analytics from raw data.
Data Engineer
Designs and maintains scalable data pipelines and ETL processes using SQL, Python, and cloud tools to support analytics and decision-making.
Databricks Data Engineer — Build Scalable Data Pipelines
Designs and maintains scalable data pipelines on Databricks, building ETL/ELT processes for large datasets using Python and SQL.
Senior Data Engineer
Senior Data Engineer builds and maintains Azure-based data pipelines and warehouses using Databricks, Azure Data Factory, SQL, and Python to power BI reports and global analytics.
Azure BI & Data Engineer for ETL & Data Warehousing
Designs and builds ETL pipelines and data warehouses on Azure and Oracle to feed BI and analytics dashboards.