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Mid Data Engineer (SQL / Snowflake / AWS)
Build and maintain cloud-based data pipelines and warehouses using SQL, Python, Snowflake, and AWS to power analytics and reporting for clients.
Lead Data Engineer - Build Scalable Data Platform (Hybrid)
Lead a team to build and maintain a scalable data platform using Snowflake and AWS, enabling clinicians to derive insights for efficient care management.
Snowflake Data Engineer - Hybrid (Santa Fe)
Designs and optimizes Snowflake data warehouses, migrates on-prem systems to cloud (AWS/Cloudera), and writes SQL/Python pipelines in a collaborative environment.
Data Engineer (Architect) - 1895
Designs and optimizes data architectures for a global tech firm, transitioning legacy systems into scalable, high-performance data ecosystems using SQL, Python, and cloud warehousing.
Senior Data Engineer (Azure)
Build and optimize Azure-based data pipelines and warehouses, using SQL, Azure Synapse, and Power BI to deliver clean, governed data for reporting and analytics.
Solution Data Engineer Sr.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Senior Data Engineer II
Build and maintain secure, scalable data pipelines and ETL workflows using Airflow, Snowflake, and DBT to support healthcare analytics and research insights.
Software & Data Engineer (Remote - Latin America)
Build data pipelines, AI tools, and cloud infrastructure for clients using Python, SQL, and cloud platforms like Snowflake and AWS/GCP/Azure.
Azure Data Engineer: Build Scalable Pipelines & Governance
Design and optimize Azure-based data pipelines using PySpark, SQL, and Databricks, and warehouse data in Snowflake while enforcing governance standards.
Lead IT Data Engineer MXT
Lead a team to design and optimize cloud-based data pipelines, warehouses, and agentic AI workflows using Python, SQL, Kafka, and Databricks for Tyson’s manufacturing operations.
IT Data Engineer II MXT
Designs and optimizes data pipelines, ETL processes, and SQL-based data models for analytics, using big data tech and cloud resources.
Senior Data Engineer - Remote/Hybrid Data Platform Architect
Designs and builds scalable data pipelines, optimizes Snowflake schemas, and enforces DataOps with CI/CD, Docker, and automated testing in Python.
Senior Data Engineer — Remote & Flexible Schedule
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps with Airflow/Prefer/Dagster.
Test Lab Data Engineer II
Designs, builds, and maintains scalable data pipelines and warehouses using SQL, Spark, Databricks, and Snowflake to ensure clean, reliable data for analytics and decision-making.
Google Cloud Data Engineer
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to integrate, process, and analyze data for business analytics and decision-making.
Google Cloud Data Engineer
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to support HR analytics and business decision-making.
Senior Data Engineer - Build Scalable Data Infra & ML Pipelines
Senior Data Engineer at Prospera AI builds and scales data infrastructure, ETL pipelines, and ML feature stores using Snowflake, dbt, and Airflow/Dagster.
Senior Data Engineer (AWS)
Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
Remote Senior Data Engineer - SQL & Data Modelling
Build and maintain a modern data stack (Airflow, Snowflake, Superset/Looker/HEX, Python) to transform raw data into analytics-ready marts and an AI-ready semantic layer for LLM querying.
Data Engineer: Snowflake + AWS, ETL/DBT Pipelines
Builds and maintains cloud data pipelines using Snowflake and AWS to transform raw data into analytics-ready datasets for business insights.