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Lead Data Engineer - Remote, Growth & OLAP Architecture
Lead a team to design and maintain S3-backed data pipelines and OLAP architecture for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Senior Data Engineer - Remote Data Lake & ETL Architect
Design and maintain a high-volume marketing analytics data lake and ETL pipelines using AWS, S3, and Airflow to process and orchestrate near-real-time data flows.
Senior Full-Stack Engineer - Remote Data Platforms
Build backend services and frontend interfaces for a data-driven marketing analytics platform using Python, React, and TypeScript, integrating ETL pipelines, data lakes, and ML outputs.
Experienced – Azure Data Engineer Synapse
Designs and builds end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational/ dimensional data in T-SQL and PySpark to deliver governed analytics platforms for clients in industrial, energy, consumer and public sectors.
Data Engineer – Cloud & Analytics
Build and maintain a modern cloud data lake on Google BigQuery, writing Python/SQL pipelines to feed Salesforce and marketing systems for a large Italian bank.
Senior Data Engineer
Design and build scalable data pipelines and distributed architectures for modern data platforms, integrating heterogeneous sources and optimizing data models for analytics.
Data Engineer
Designs and builds cloud-native data pipelines, ELT workflows, and data models for a data lake/warehouse using Python, Java, Spark, and cloud platforms like GCP or Microsoft Fabric.
Lead Data Engineer | Remote Data & AI Analytics
Lead a team to build and maintain scalable data pipelines and analytics architecture for a marketing analytics platform using AWS, Python, and Airflow.
Senior Data Engineer – OLAP Data Lake & Airflow
Owns and builds an S3-backed OLAP data lake and Airflow-driven ETL pipelines for a marketing analytics platform, choosing formats, schemas, and near-real-time processing.
Lead Data Engineer: Analytics & Data Lake Architect (Remote)
Lead a team to design and maintain a high-volume marketing analytics data lake on AWS, defining ETL pipelines, Airflow orchestration, and S3 partitioning for near-real-time insights.
Lead Data Engineer - Remote OLAP Pipeline Architect
Lead a team to design and maintain high-volume marketing analytics pipelines using AWS S3, Athena, EKS, and Airflow for near-real-time processing.
AWS Data Engineering Lead
Lead a data engineering team to design, build, and optimize AWS-based data pipelines and architectures, ensuring high-quality ETL/ELT processes and data lake solutions.
Senior Azure Data Platform Engineer | Databricks & ADF
Builds and maintains Azure-based data pipelines using ADF, Databricks, and Synapse, automating ingestion, processing, and orchestration within a secure cloud ecosystem.
Senior Databricks Data Engineer — Flexible Hours & Telework
Senior Data Engineer designs and builds ETL/ELT pipelines in Databricks, ensuring data quality in cloud-based data lakes, warehouses, and lakehouses while collaborating with architects and BI teams.
Senior Databricks Data Engineer - Flexible Hours Lakehouse
Senior Data Engineer designs and builds ETL/ELT pipelines in Databricks Lakehouse environments, leads technical teams, and collaborates with architects and data scientists.
Hybrid Data Engineer – Snowflake & AWS ETL Expert
Builds and maintains ETL pipelines and data warehouses in Snowflake and AWS, modeling data and setting up landing zones for raw ingestion as part of a migration effort.
Data Engineer: ETL/ELT, Azure & BI Dashboards
Build and optimize data pipelines (ETL/ELT) on Azure to feed BI dashboards and analytics for a global hotel group.
Senior Databricks Data Engineer: Shape Modern Data Lakes
Build and maintain modern data lakes and lakehouse platforms using Databricks, Spark/PySpark, Python, and SQL while collaborating with architects and BI teams.
Senior Data Engineer - Finance & SAP Data Platform
Lead the design and scaling of a finance-focused data platform, integrating SAP and other sources with a data lake and building ETL/ELT pipelines using Airflow and Kubernetes.
Data Engineer AWS & Big Data — Flexible Hours
Builds and maintains AWS-based data lakes and streaming pipelines using Spark, Python, SQL, and Kafka for batch and real-time processing.