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Data Engineer
Build and scale data pipelines on Databricks and AWS, designing robust ETL/ELT workflows with Apache Spark to power analytics and decision-making.
Data Engineer
Builds and maintains ETL pipelines in Python and Airflow, optimizes Snowflake SQL queries, and deploys CI/CD on GitHub for data workflows.
Data Engineer
Senior Data Engineer builds and maintains scalable Azure data pipelines and products using Data Factory, Synapse, Databricks, and Fabric to support analytics and reporting.
Data Engineering Lead
Lead the design and delivery of a scalable enterprise data platform, building ETL/ELT pipelines and enabling analytics and AI across cloud and hybrid environments.
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.
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.
Senior Data Engineer
Design and build Azure-based data pipelines for financial clients, using Databricks, Data Factory, and Python/Java to integrate and validate enterprise data.
Data Engineer
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Data Engineer
Designs and maintains Snowflake-based data warehouses with dbt, builds ETL pipelines in Informatica, and automates jobs with Control-M and UNIX scripts.
Data Engineer
Builds and maintains scalable ETL pipelines on Databricks and AWS to turn raw data into clean, analytics-ready datasets for reporting and Power BI.
Senior Data Engineer
Build and maintain GCP-based data pipelines and analytics for enterprise clients, using Python, SQL, Airflow, and BigQuery to ensure reliable data ingestion and reporting.
Senior Data Engineer
Build and maintain GCP-based data pipelines and analytics for enterprise clients, using Python, SQL, Airflow, and BigQuery to ensure reliable data ingestion and reporting.
Data Engineer
Builds and maintains large-scale data pipelines on Azure Databricks and Spark, writing PySpark/Python and SQL to process TB-scale datasets and ensure data quality.
Data Engineer
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Data Engineer
Build and maintain scalable batch and streaming data pipelines in AWS + Databricks, using Python, SQL, and modern lakehouse architectures to power analytics and reporting for a fast-growing fintech lender.
Data Engineer
Builds and maintains scalable data pipelines and ETL processes in AWS using Python and SQL to ensure reliable analytics and data availability.
Data Engineer
Build and maintain scalable data pipelines and ETL workflows using Python, SQL, and cloud platforms like AWS or Azure to support analytics and business needs.
Data Engineer
Build and maintain data pipelines and warehouses to feed analytics and reporting for a pawnshop operator, using SQL, Python, and AWS services.
Sr. Data Engineer
Design and build scalable Azure-based data pipelines and warehouses for external clients, using Synapse, Data Factory, and Fabric to enable analytics and ML.
Senior Manager, Marketing Operations
Amylyx has an audacious mission to usher in a new era for treating diseases with high unmet needs. Where others see challenges, we see opportunities that we pursue with urgency, rigorous science, and unwavering…