Top Data Engineer Jobs

The Data Engineer will build and maintain scalable data pipelines, optimize data for AI/ML models, and collaborate with engineers to ensure data quality and integration across systems.

As a Data Engineer, you will develop and manage the data infrastructure that supports HTS Media's advertising business, build ETL/ELT pipelines, and enable data-driven insights for advertisers and internal analytics.

The role involves developing scalable data pipelines, automating workflows, optimizing data models, and ensuring data governance while collaborating with various teams.

As a Data Engineer, you will create efficient data models, pipelines, and analytics frameworks, collaborating with various departments to transform raw data into actionable insights.

Looking for a Data Engineer focused on data visualization with experience in handling real-world data and effective communication through data. Extra credit for skills in probabilistic classifiers and full-text search engines.

Data Engineers at Endex design and maintain data pipelines for transforming financial data into insights, focusing on data quality and analytics.

Design, develop, and maintain data pipelines and ETL workflows in Databricks, collaborating with teams to support large data needs in financial services.

The Data Engineer II designs and maintains scalable data pipelines using AWS and Databricks, optimizing ETL/ELT workflows, collaborating with teams to deliver high-quality datasets, and supporting AI/ML use cases through data preparation and validation.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Data Engineer will design and build solutions for investment insights using big data technologies, developing data pipelines, and collaborating with cross-functional teams.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

As a Data Engineer, you'll build data infrastructure for analytics, drive business growth strategies, and enhance personalized user experiences at Eight Sleep.

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.

As a Data Engineer, you will architect and maintain the data systems, create pipelines and integrations, and ensure data quality for analytics and reporting.

The Data Engineer conducts data analytics projects, implements data standards, and collaborates with stakeholders while ensuring data quality and integrity.

The Cloud Data Engineer will design, implement, and manage data solutions on Microsoft Azure, create and maintain data pipelines, and ensure data security for decision-making processes.

As a Data Engineer, you will develop and maintain data pipelines for real-time insights, optimize data quality, and collaborate across teams to deliver accurate data products.

As a Data Developer, you will create reliable ETL processes, design data warehouses, and develop reports while ensuring data quality and security.

Lead the development of data engineering processes, ensuring data quality and security while working with data science and business intelligence teams. Responsible for building scalable data pipelines and maintaining them.

The Data Engineer II designs, develops, and maintains data integration and analytics solutions, ensuring data quality and accessibility for business stakeholders, while collaborating with teams to meet business needs.

The Data Engineer will design, develop, and implement data solutions, ensuring data integrity and availability, collaborating with stakeholders to meet business analytics needs.

The HR Data Engineer/Data Scientist will design and maintain data integration pipelines for workforce-related datasets, ensuring high-quality data and collaborating with stakeholders. Responsibilities include automating data workflows, developing documentation, validating data, and implementing governance frameworks.

As a Senior Data Engineer, you will enhance data products, build automated data pipelines, and improve data platform capabilities, collaborating with various teams to drive initiatives.

The Junior Data Engineer will work with data to enhance trading systems, support data warehouses, and collaborate on technical solutions with the team.

Design, develop, and deliver data solutions and database systems, maintain data pipelines, automate processes, and support internal teams with data infrastructures.