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Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines using T-SQL, Azure Data Factory, Databricks, and Synapse to deliver clean, reliable datasets for analytics and modeling.
Remote Data Engineer – Databricks & Cloud Pipelines
Builds and optimizes scalable data pipelines using Databricks and Delta Lake, enabling analytics and ML across cloud platforms like Azure, AWS, or GCP.
Principal Data Engineer
Principal Data Engineer builds and scales cloud data pipelines using Databricks/PySpark, DBT, Airflow, and Snowflake to power analytics for retail, CPG, and fintech clients.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP for enterprise clients, using cloud warehouses, Spark, Kafka, and orchestration tools.
Senior Data Engineer - Pipelines, AI/ML & Databricks
Design and build enterprise data pipelines and platforms using PySpark, Python, SQL, Azure and Databricks to turn raw data into insights for clients.
Lead Data Engineer
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Azure Data Engineer: Build Scalable Data Pipelines
Designs and builds scalable data pipelines on Azure using SQL, Python, Spark, Databricks, and Snowflake to enable reliable data processing and analytics.
Data Engineer - SSIS & Cloud Data Pipelines Specialist
Designs and maintains SSIS and cloud data pipelines (Azure Data Factory, Airflow, AWS, Databricks) to deliver scalable analytics and trusted data solutions for client engagements.
Principal Data Engineer: Data Pipelines & Snowflake Expert
Designs and builds scalable cloud data pipelines using DBT, Databricks, Snowflake, and Airflow, mentoring engineers and setting technical standards.
Junior Cloud Data Engineer — Build Data Pipelines
Build and maintain cloud data pipelines using Azure, GCP, Databricks, and Snowflake to enable business insights within Agile teams.
Senior Data Engineer - Azure & Cloud Data Pipelines
Senior Data Engineer builds and maintains Azure-based data pipelines using Databricks and Synapse to transform raw data into reliable systems for analytics and business use.
Azure Data Engineer — Build Scalable Data Pipelines
Design and build scalable data pipelines on Azure using Data Factory, Databricks, and Spark, optimizing storage and collaborating with data scientists and stakeholders.
Senior Data Engineer — Databricks & Azure Data Pipelines
Designs and builds scalable data pipelines on Azure using Databricks, PySpark, Python and SQL, focusing on Delta Lake and CI/CD for enterprise analytics.
Hybrid Data Engineer: Build Scalable Data Pipelines
Build and optimize scalable data pipelines using PySpark, SQL, and orchestration tools to ensure reliable data for analytics and advanced models in a hybrid environment.
Data Engineer
Build and maintain data pipelines and cloud data warehouses (Azure, AWS) using PySpark, Databricks, SQL, and Qlik to support analytics and decision-making in a pharma company.
Data Engineer — Build Life-Saving BioMed Data Pipelines
Builds and maintains data pipelines for biomedical data using SQL, Python, and cloud platforms like Databricks or Snowflake.
Data Engineer
Design and build scalable data pipelines and platforms using Azure Databricks and PySpark to enable data-driven decision-making for AI-driven analytics.
Data Engineer
Build and maintain cloud-based ETL/ELT pipelines and datasets for manufacturing data, enabling analytics and AI/ML at Corning’s Optical Communications division.
Data Engineer
Build and maintain scalable Azure Databricks pipelines and data products for Daikin’s HVAC-focused data platform, ensuring reliability and enabling analytics and AI-driven insights.