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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.
Data Engineer Specialist (Queretaro)
Builds and maintains data pipelines and ETL workflows in a data lake, using Databricks, Spark, and SQL to ingest and transform structured, semi-structured, and unstructured data for reporting.
AI-First Data Engineer: Build Scalable Pipelines
Design and maintain scalable data pipelines and cloud architectures, transforming raw data into insights for strategic decisions.
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.
Azure Data Engineer - Remote, Latin America
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL to extract, transform, and load data from APIs, databases, and files into scalable data warehouses.
Data Engineer for Data Governance – APIs developer
Designs and builds secure, scalable data pipelines and APIs to collect, validate, and govern enterprise data across cloud platforms like AWS and Azure.
Data Engineer Snowflake / Databricks
Design and build cloud data pipelines using Snowflake and Databricks, then optimize them with DataOps tools like DBT for analytics-ready datasets.
Data Engineer - Remote, Latin America
Build and maintain cloud-based data pipelines and warehouses for clients using AWS, SQL, and ETL tools like SnapLogic or Informatica.
AWS Data Engineer
Build and maintain AWS-based data pipelines and warehouses using Python, SQL, and services like Glue, Redshift, and S3 to enable analytics and ML feature stores.
Data Engineer (GCP) – Data & Analytics
Build and maintain GCP-based data pipelines (ETL/ELT) using BigQuery, Dataflow, and SQL to feed analytics and warehouses for business insights.
Remote Azure Data Engineer — Build Scalable Pipelines
Build and maintain ETL pipelines using Python and Azure Synapse Analytics to manage data flows and warehousing.
Data Engineer: Shape Scalable ELT Pipelines & Data Platform
Design and scale high-performance ELT pipelines for a centralized data warehouse, ensuring data quality and performance while collaborating with cross-functional teams.
Data Engineer – Snowflakes / DBT
Builds and maintains data pipelines using Snowflake, dbt, and ETL tools to load and transform data for analytics and reporting.
Azure Data Engineer | Remote in LATAM
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure data quality for clients.
Senior Data Engineer - Remote & Flexible
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Azure Data Engineer
Designs and builds scalable ETL/ELT pipelines and data warehouses using Azure Synapse, Fabric, and Databricks, optimizing SQL queries and implementing Medallion architectures.
Senior Data Engineer
Build and maintain cloud-based data pipelines using Databricks, PySpark, and Azure Synapse to feed AI forecasting models for a finance client.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, and Databricks to deliver clean, reliable data for analytics and modeling.