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Forward Deployed Engineer, Data, GenAI, Google Cloud
Build and deploy enterprise-scale data pipelines and AI workflows on Google Cloud, focusing on Text-to-SQL, LLM evaluations, and synthetic data generation for large customers.
Forward Deployed Engineer, Data, GenAI, Google Cloud
Build and deploy production-grade AI data pipelines and evaluation systems using BigQuery, Dataflow, and dbt to power Text-to-SQL and LLM benchmarks for enterprise customers.
Customer Engineer, Data Analytics, Google Cloud
Customer Engineer specializing in Data Analytics on Google Cloud, designing architectures and MVPs to help customers adopt complex analytics workloads and accelerate technical wins.
Customer Engineer, Data Analytics, Google Cloud
Customer Engineer specializing in Data Analytics on Google Cloud, designing architectures and MVPs to solve customer challenges and drive cloud adoption.
12 months Contract - Senior Data Engineer (Through an External Agency Payroll Provider)
Build and maintain scalable data pipelines and backend services for wealth-management analytics using Python, Spark, SQL, and cloud platforms like Azure.
Senior Data Platform Engineer - Databricks & AI
Build and maintain Databricks-based data pipelines and semantic layers, integrate BI/ERP systems, and apply GenAI tools to improve data platform productivity and reliability.
ETL Data Warehouse Tester- 10 yrs- USA Remote
Tests ETL/ELT pipelines for Medicaid/MMIS data, validating data quality and business logic across Medallion architectures using SQL and Python.
Senior Executive (Data Engineer), AIO Management Decision Support Office
Build and maintain ETL pipelines, data warehouses, and cloud storage for healthcare analytics using Databricks, SQL, and Python.
Data Analytics Engineering Lead
Lead the design and build of enterprise-scale data platforms using Snowflake, Azure Synapse, Databricks, and Python to enable analytics and AI/ML initiatives.
Technical Manager/ Data Project Manager (Lead Data engineer)
Lead data engineering teams to build and migrate data lakes, warehouses, and lakehouses using PySpark, Python, and cloud platforms like AWS/Azure/GCP.
Data Engineer, Singapore Global Network (1+1 Year Contract)
Build and maintain scalable data pipelines on Databricks and AWS to power analytics and reporting for Singapore’s global network initiatives.
Senior Data Engineer: Azure & Fabric ETL, Lakehouse Finance
Senior Data Engineer builds and optimizes Azure/Fabric ETL pipelines and Lakehouse solutions for investment analytics, integrating market and portfolio data from APIs and file sources.
Senior Data Platform Engineer - Lead, Scalable Pipelines
Lead the design and operation of enterprise-scale data pipelines and ETL/ELT processes, ensuring reliable analytics and data integrity for a product-focused team.
Senior Associate/Manager Data Engineer Consultant (Data Bricks) / Technology Consulting
Design and build scalable data pipelines and architectures using AWS and Databricks, focusing on PySpark, Python, and SQL to enable advanced analytics and ETL workflows for enterprise clients.
Data Analytics Engineer
Build and maintain data pipelines, analytics tools, and dashboards using SQL, Python, and BI platforms to deliver insights and support data-driven decisions.
Data Engineer
Build and maintain scalable ETL/ELT pipelines in Python, PySpark, and SQL to feed enterprise analytics and reporting systems.
Senior Data Engineer
Designs and maintains scalable data pipelines, warehouses, and lakes using SQL, Python, and cloud platforms (Azure/AWS/GCP).
Senior Data Engineer
Design and build scalable data pipelines and warehouses to power analytics and AI, using Python/Java, SQL, and Spark in a collaborative, data-driven environment.
Senior Data Engineer
Design and build scalable data pipelines, warehouses, and AI-driven automation for a mobility-focused tech company using Python, Airflow, dbt, and cloud platforms.
Data Engineer with ETL Experience | Permanent
Build and maintain ETL pipelines to integrate and clean data from databases and APIs, ensuring reliable data flows for analytics on cloud platforms like AWS or Azure.