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Senior Data Software Engineer (Python & SQL)
Build and maintain scalable Python services and high-performance SQL on Snowflake/Databricks, designing secure, observable data applications with Streamlit and modern data architecture.
Night-Shift Data Engineer II - Snowflake & SQL
Builds and maintains ELT/ETL pipelines for Snowflake data warehouses, writes SQL, and collaborates with product and business teams on night-shift deadlines.
Senior Data Engineer: Snowflake ETL & Cloud Analytics
Design and optimize Snowflake-based ETL/ELT pipelines, implement Snowpipe/Streams/Tasks, and manage cloud-native data warehouses for managed services clients.
Senior Data Engineer - Cloud ETL & Analytics Platform
Design and maintain scalable data pipelines using Azure Data Factory, Snowflake, dbt, SQL, and Python to power marketing and enterprise analytics.
Data Engineer II: Global DB Solutions & Performance
Designs, builds, and optimizes global database systems using SQL Server, DB2, MongoDB, and Snowflake to ensure high performance and data integrity across time zones.
Snowflake Data Engineer Lead: ETL, Governance & GenAI
Lead Snowflake data engineering projects, building ETL pipelines and governance frameworks with Snowpark and SQL while enabling GenAI use cases using Cortex AI.
2026-7981 Data Engineer-Mid Level
Build and maintain cloud data pipelines using Databricks, Snowflake, Spark, Python and Azure Data Factory to feed predictive models and analytics that drive profitability.
Senior Data Engineer — Snowflake & ETL Specialist
Senior Data Engineer builds and optimizes ETL pipelines, integrates data across systems, and manages Snowflake data warehouses for scalable analytics solutions.
AI-Driven Marketing Data Scientist (Snowflake)
Build and maintain AI-driven marketing data pipelines in Snowflake, using Python and SQL to ensure clean, accessible data for predictive models and analytics.
Senior Data Engineer - Hybrid (Azure, Snowflake, dbt)
Design and maintain scalable ETL/ELT pipelines using Azure Data Factory, Snowflake, dbt, SQL, and Python to support marketing analytics and enterprise data.
Data Engineer (AWS) | Hybrid Set up - BGC
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Night-Shift Data Engineer: Snowflake & ELT Specialist
Builds and maintains scalable ELT/ETL pipelines in Snowflake and Azure, automating data workflows and mentoring junior offshore developers for a product-focused team.
Senior Data Engineer — Remote Health Data Impact
Own Snowflake-based data pipelines that feed analytics, translating business questions into reliable datasets using SQL, Python, dbt, and Airflow.
Remote Data Engineer: Cloud ETL & Analytics
Builds cloud-based ETL/ELT pipelines and optimizes data models using Python, SQL, Snowflake, and BigQuery to support analytics.
Data Engineer — Remote, Flexible Hours, Training Budget
Build and maintain scalable data pipelines and ETLs using Spark, Python/Scala, and cloud platforms (Azure/AWS) to power client solutions.
Senior Data Engineer — Snowflake Data Platform (Remote LATAM)
Build and optimize scalable Snowflake-based data pipelines, own data models and governance, and integrate cloud-native apps while collaborating across North and Latin America teams.
Senior Data Engineer – Snowflake & Cloud Data Platform Lead
Designs and scales Snowflake-based cloud data platforms, builds reliable pipelines, and enables self-service analytics for trusted organizational insights.
Senior Solutions Consultant (Data Engineering, Python and Snowflake)
Design and build production-grade data pipelines and cloud-native systems using Python, AWS, and Snowflake, ensuring scalability, security, and governance for enterprise analytics and AI use cases.
Data Engineer – 6 Month Contract
Builds and optimizes data pipelines and warehouses using Azure Data Factory and MSSQL to feed analytics and AI models for a mortgage broker.
Senior Data Engineer for Snowflake & Modern Data Platform
Design and scale Snowflake-based cloud data platforms, build ELT/ETL pipelines, and ensure data quality and governance for analytics and BI tools.