Top Data Engineer Jobs

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.

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

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.

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

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

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.

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

As an Azure Data Engineer, you'll design and maintain data pipelines, integrate legacy systems, and collaborate on enterprise reporting models.

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.

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.

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.

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

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

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.

Support data engineering by building and maintaining scalable pipelines on AWS, ingesting and cleaning data, and collaborating on infrastructure needs.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

As a Data Engineer at Waymo, you'll design and implement data models and data warehousing solutions, ensuring data quality and collaboration with stakeholders.

The Data Engineer will design, implement, and maintain a scalable data architecture and infrastructure, focusing on data transformation, integration, and storage. They will collaborate with teams to optimize data processes and troubleshoot issues, utilizing technologies like Snowflake and SQL.

The Analytics Engineer transforms raw data into quality data products for BI and reporting, manages data modeling, and ensures data accuracy through collaboration and automation.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.