Top Data Engineer Jobs

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

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.

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.

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.

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

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.

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.

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

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 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 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.

The Sr. Informatica MDM Data Engineer will lead the development and management of MDM platforms, ensuring data integration, quality, and governance. Responsibilities include designing data pipelines, maintaining data models, and collaborating with cross-functional teams to align MDM initiatives with business objectives.

As a Data Engineer, build efficient data processing systems, model data to support analytics, and collaborate with teams to enhance Netflix's data-driven culture.

The Data Engineer will maintain and optimize data pipelines, manage infrastructure, support ML workflows, and collaborate with teams on data products.