Top Data Engineer Jobs

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.

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

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.

The Data Engineer designs, develops, and maintains data architecture and pipelines, collaborates with teams to generate insights, and leads the implementation of analytics tools to optimize productivity.

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

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 Principal Software Engineer oversees the architecture and deployment of data solutions, ensuring quality, efficiency, and compliance. They manage data integrity, guide technology collaboration, and lead the design and implementation of data systems and standards.

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.

As a Senior Data Engineer, you will design, develop, and implement data solutions, utilizing cloud technologies and collaborating with teams to support technical solutions and mentor others.

The Lead Data Engineer will build scalable data pipelines, develop frameworks for data validation, and support analytics teams in delivering trusted data solutions.

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

The Data Engineer will develop and integrate data pipelines, ensure data integrity, and support continuous automation in an Agile/Scrum environment.

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

The GTM Data Engineer designs and manages a customer and revenue data foundation, ensuring data quality and availability for Marketing, Sales, and Customer Success teams, while overseeing data integration and reporting.

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

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

The Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

The Senior Data Engineer will manage data flow and ensure accuracy, improve data engineering stacks, build and maintain analytics warehouses, and support stakeholders with data solutions while participating in system reliability on-call rotations.

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

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 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.

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 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.