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Senior Full-Stack Engineer — Remote, Flexible Hours, Growth
Senior Full-Stack Engineer building REST APIs in Python (FastAPI/Flask) and React/TypeScript frontends to validate and resolve issues in marketing analytics data from ETL pipelines and ML models.
Senior Full-Stack Engineer — Remote, Flexible Hours, Impact
Senior Full-Stack Engineer building Python REST APIs and React/TypeScript frontends to process and visualize marketing analytics data from ETL pipelines, data lakes, and ML models.
Data Engineer Sr- Remote Latam – ID #00199
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Remote Cloud Data Engineer - Azure ETL & Data Lake
Designs and builds scalable Azure-based ETL/ELT pipelines using Databricks, PySpark, and SQL to feed data lakes and warehouses for reporting and analytics.
Senior Data Engineer - Remote ET (Databricks,CRM Migration)
Senior Data Engineer builds and migrates CRM data pipelines for a life-sciences client, moving Veeva/Salesforce data into Databricks with dbt, Airflow, and Delta Lake on AWS.
Remote Data Engineer: Databricks Migration & AWS Data Lake
Build and maintain Databricks pipelines and AWS data lake components during a Redshift-to-Databricks migration, focusing on data governance and RBAC.
Senior Data Engineer Lead - Remote & AWS Data Lake
Lead a team to design and maintain an S3-backed data lake and real-time marketing analytics pipelines using AWS services like Athena, EKS, and Airflow.
Data Engineer - Remote, Databricks & AWS Migration
Migrate data from Amazon Redshift to Databricks, build ETL pipelines using AWS Glue and Athena, and implement data governance for a modern data lake.
Senior Data Engineer — Remote, Growth Opportunities
Owns and scales a marketing analytics platform’s data pipeline, designing ETL workflows, Airflow orchestration, and OLAP optimizations on an S3 data lake.
Data Engineer (Ingeniero de Datos)
Build and maintain scalable data pipelines and BI dashboards using Azure, Python, Power BI, and DOMO to deliver real-time insights and automated reporting for an adtech platform.
Senior Data Engineer - Azure Data Platform Lead
Leads the design and implementation of a modern data platform on Microsoft Azure, focusing on pipeline architecture and data quality using advanced SQL and Azure Data Lake.
Senior Data Engineer (Data Platform), Brazil
Build and operate a near-real-time data platform using Kafka, Kubernetes, and Snowflake, designing pipelines, governance tools, and CI/CD for ETL/ELT.
Lead Data Engineer - Remote & Analytics Architect
Lead a team to design and maintain scalable data pipelines and analytics architecture for a marketing analytics platform using AWS, Airflow, and OLAP systems.
Senior Data Engineer
Senior Data Engineer builds and optimizes PySpark/EMR pipelines, a Hudi-based lakehouse, and data APIs on AWS to power real-estate analytics and ML models for lead generation and property valuation.
Azure Data Engineer
Build and maintain large-scale data pipelines using Azure Databricks, PySpark, and SQL to process terabyte datasets and ensure data quality.
Azure Data Engineer: Pipelines, DBT & Synapse Expert
Build and maintain Azure-based data pipelines and warehouses using ADF, Synapse, and DBT to enable analytics and reporting.
Data Engineer
Designs and builds scalable data pipelines and warehouses using Databricks and Azure, ensuring clean, reliable data for analytics and AI across food, beverage and pharma sectors.
Senior Data Engineer
Design and maintain scalable data pipelines using Databricks, Spark, and Delta Lake, integrating diverse data sources for analytics and ML workloads.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, Databricks, and streaming services to deliver clean, reliable data for analytics and modeling.
Data Engineer
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.