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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
Build and maintain scalable data pipelines using Snowflake, Python, and SQL on AWS or GCP to support analytics and reporting for clients in healthcare, finance, e-commerce, and retail.
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 II: Pipelines, Warehousing & Dashboards
Designs and builds ETL pipelines, optimizes data warehousing, and contributes to dashboards using Hadoop, Spark, and Snowflake.
Data Engineer
Build and maintain ETL/ELT pipelines and data warehouses to power HR analytics and reporting for a cloud-based payroll and HCM platform.
Full-Stack Data Engineer: Build Scalable Data Pipelines & Apps
Build and maintain scalable data pipelines and applications using Python, Snowflake, dbt, and Airflow while applying DevOps practices.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power AI/ML features in Tebra’s healthcare EHR platform, ensuring reliable, high-quality datasets for model training and production inference.
Senior Data Engineer — Build Data Platform & Pipelines
Senior Data Engineer builds and scales a modern data platform with ETL/ELT pipelines, Snowflake schemas, and DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Data Engineer
Senior Data Engineer builds and optimizes ETL pipelines, migrates legacy systems to cloud platforms like Snowflake and Databricks, and designs scalable data workflows using Python, SQL, and Airflow for a financial services client.
Senior Data Engineer: Modern Data Platforms & Pipelines
Build and optimize scalable data platforms for a financial client using Snowflake, Databricks, Hive, and Airflow to modernize legacy systems.
Full-Stack Data Engineer
Build and maintain scalable data pipelines, Python services, and automation for reliable data products in a DevOps/DataOps model, while improving team engineering standards.
Senior Data Engineer, Risk Tech — Scalable Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines using Python, AWS, Airflow, and Snowflake to support risk analytics in a fintech setting.
Senior Data Engineer: Scale Data Pipelines & Semantic Layer
Design and build scalable ETL/ELT pipelines and semantic data models in Snowflake and Databricks to power Instructure’s edtech data infrastructure.
Data Engineer | Snowflake & Cloud Data Pipelines
Design and build Java applications and cloud data pipelines using Snowflake for a digital product engineering company in Mexico City.
Full-Stack Engineer, Staff
Build and maintain cloud-edge software and applications that automate and optimize cellular networks for global operators using Java/Kotlin, Python, Vue.js/React, and cloud platforms.
Full Stack Sr. Analyst
Build and maintain full-stack web apps using React and Python, deploy on AWS, and collaborate with global teams to deliver scalable AI-powered solutions.
Full-Stack Engineer
Build cloud-edge software and applications for cellular network automation using Java/Kotlin/Python, React/Vue.js, and cloud platforms like AWS/GCP.
Lead Azure Fabric Data Engineer - Remote Position
Lead a team to design and build scalable Azure Fabric data platforms, including Lakehouse architectures, pipelines, and Power BI models, while mentoring engineers and collaborating with stakeholders.