Top Data Engineer Jobs

The Data Engineer will develop and maintain scalable data pipelines, collaborate with teams, implement data warehousing, apply machine learning, ensure code quality, and develop CI/CD pipelines for data-driven solutions.

The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

The Data Engineer designs and maintains data systems and pipelines, manages databases, implements data quality checks, and works with stakeholders to optimize data processing for analysis.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

Design and maintain scalable data pipelines and database solutions using Azure Data Factory and SQL. Collaborate with teams, ensure data quality, and create documentation.

Lead data engineering projects within the Sales Analytics team at Visa, developing complex data solutions for business intelligence, creating scalable data pipelines, and ensuring high data quality. Engage with various teams to support initiatives and empower business insights.

The Junior Data Engineer role involves working with data platforms, optimizing data pipelines, and collaborating with portfolio managers to meet business requirements.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

As a Data Engineer, you will design and implement a data platform, maintain data pipelines, work with Airflow and BigQuery, and ensure data compliance while collaborating with teams.

As a Data Engineer, you'll design and maintain data pipelines, manage data architecture, and collaborate with teams to drive data solutions for operational efficiency.

As Lead Data Engineer & Modeler, you will build and optimize scalable data infrastructures, collaborate with teams, and ensure data integrity while driving data innovation at BigCommerce.

As a Data Engineer, you'll design and maintain data platforms, develop data pipelines, collaborate with teams, and ensure data quality for diverse stakeholders.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

The Senior Data Engineer will develop and support automation and analytics projects, creating workflows and dashboards to improve business insights and efficiency.

The IT Data Engineer will design and implement ETL pipelines, modernize data workflows, support analytics, and collaborate with teams on data needs.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

As a Lead Data Engineer, you will develop and maintain data solutions, lead requirements documentation, and mentor team members while enhancing data-driven decision-making.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Seeking a Data Engineer to design, build, and maintain data pipelines using Python, AWS, Databricks, and SQL, ensuring data reliability.

The Data Engineer will develop Python data applications, collaborate with teams to optimize data solutions, and maintain production operations support.

The Data Engineer designs, develops, and maintains data architecture and pipelines, collaborates with teams to generate insights, and leads the implementation of analytics tools to optimize productivity.

Responsible for building scalable data pipelines, transforming data using Python and SQL, and collaborating with teams to ensure data quality and successful analytics solutions.

The Data Engineer III will design, develop, and support data solutions using Azure technologies while analyzing and optimizing data processes.