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Data Engineer
Designs and maintains scalable data pipelines, architectures (ETL/ELT, data lakes/warehouses), and automated workflows using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to power clients’ open-source projects while ensuring security, governance, and performance.
Data Engineer
Build and maintain scalable data pipelines and infrastructure for public-sector and energy clients, using Spark, Snowflake, Airflow, and cloud platforms.
Data Engineering Manager
Lead a small team to build and scale WeRoad’s data platform, writing code and setting architecture for BigQuery, dbt, and real-time pipelines that turn raw travel data into trusted insights for stakeholders.
Data Platform Engineer
Design and build GCP-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech company.
Senior Data Engineer: Unified Data Platform & AI
Senior Data Engineer builds and governs a central data platform for 60+ brands, creating scalable pipelines and a semantic layer to power BI, AI, and operations.
GCP Data Engineer/Data Architect
Designs and builds secure, scalable GCP data pipelines and warehouses to turn raw data into business insights using BigQuery, Dataflow, and Scala/Java/Python.
Data Engineer
Designs and maintains data pipelines and warehouses to power enterprise reporting and analytics for a global healthcare company.
Data Platform Product Manager - Pipelines & Governance
Owns the data infrastructure for TikTok’s AI annotation platform, defining pipelines, ETL/ELT workflows, and data quality frameworks to ensure reliable, scalable data products.
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.