Top Data Engineer Jobs

The Data Architect/Infrastructure Engineer will design, deploy, and maintain Neo4j infrastructure, ensuring performance and availability for production workloads while collaborating with developers on optimization and management of data warehouses.

The role involves developing and maintaining data infrastructure, optimizing data pipelines, ensuring data quality, and supporting data applications and warehousing solutions.

Seeking a Data Engineer to design and maintain ETL pipelines on AWS, ensuring data quality and supporting analytics across the organization.

As a Data Engineer at Rhythm360, you will optimize ETL workflows, develop data models, ensure data quality, and collaborate with teams to drive insights in healthcare.

As a Data Engineer, you'll design and manage the data warehouse and ingestion solutions, ensuring data integrity and quality while collaborating with various teams to support analytics and business intelligence needs.

Lead the development of data products and applications using Palantir Foundry, optimizing pipelines, ensuring data quality, and mentoring team members in best practices.

The Data Engineer will develop and maintain data pipelines for healthcare analytics, ensuring data quality, compliance, and integration across diverse sources while supporting enterprise data strategy.

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

The Data Engineer will design and optimize data pipelines, manage data in various formats, and collaborate across teams to enhance self-service analytics, using technologies like PySpark and SQL.

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.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.

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

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

As a Data Engineer, you will build and maintain data pipelines, collaborate on data modeling, and automate data processes for the Games team at Netflix.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The Data Engineer will design and implement data solutions for the Defense Intelligence Agency, enhancing data management and decision-making processes, while engaging in AI/ML initiatives and managing data pipelines across classified networks.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Principal Data Engineer, you will design and optimize data architecture, manage data pipelines, collaborate with teams, and ensure compliance with data privacy regulations while delivering scalable solutions.

The Senior Data Engineer will build and maintain data pipelines, work with cross-functional teams, and optimize performance using various data processing tools.

Lead the design and development of cloud-native big data solutions for generative AI. Collaborate with teams to innovate and implement data pipelines.