Top Data Engineer Jobs

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

The Data Engineer will create scalable analytics solutions, manage data integrations, report on marketing performance, and develop pipelines using various technologies.

The role involves interacting with Solana nodes, building data pipelines to ClickHouse, designing dashboards, maintaining data accuracy, and responding to on-chain incidents.

Build the data platform from scratch, architect data systems, analyze user engagement, optimize financial performance, and execute experiments.

The Senior Data Engineer role involves designing scalable data pipelines, developing workflows using Databricks, and integrating with Azure DevOps for CI/CD. Collaboration with data stakeholders and optimization of data processes are key responsibilities.

As a Data Engineer, you will build data solutions for trading, ensuring data quality and collaborating with researchers to support decision-making.

The Data Engineer will design and maintain data pipelines, develop knowledge graphs, and collaborate on forensic analytics in a mission-critical environment.

As a Quantitative Developer, you'll innovate and enhance quantitative methods, develop custom tools, maintain data pipelines, and collaborate with researchers for advancing investment strategies.

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

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

The Staff Data Engineer will build and manage a data lake, optimize data pipelines, collaborate with teams, and support AI projects while ensuring quality data solutions.

The Data Analytics Engineer II will build and maintain data pipelines, validate data consistency, and ensure user privacy in a healthcare setting.

The Staff Data Engineer will define the technical strategy for enterprise data systems, build and optimize data pipelines, and provide architectural leadership while mentoring teams and ensuring data excellence.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

As a Senior Lead Data Engineer, you'll design, develop, and support solutions, lead teams, and drive cloud-based data transformations.

Lead design and delivery of data solutions in Adobe Experience Platform, optimize data models, mentor junior engineers, and drive strategy.

The Gen AI Data Engineer I will develop and maintain data engineering solutions, collaborate with teams to implement AI-driven applications, and ensure system reliability and scalability.

As a Data Engineer, you will construct data pipelines, design data solutions, perform data analysis, and collaborate to enhance analytics capabilities.

The Data Engineer will design, develop, and optimize large scale data pipelines and ensure effective data delivery for cross-functional teams.

The role involves building and improving data engineering solutions, designing ETL/ELT pipelines, and working with data modeling, warehousing, and cloud platforms to support influencer marketing at Influur.

The role involves leading the design, development, and migration of the enterprise Data Warehouse to cloud platforms, managing delivery from requirements to deployment, and mentoring teams.

The Data Engineer role focuses on designing and implementing data pipelines, collaborating with stakeholders, ensuring data quality, and optimizing data processing workflows.