Top Senior Data Engineer Jobs

The Principal IT Data Developer will lead development teams, engage with stakeholders, and drive the lifecycle of data applications while ensuring compliance with GxP regulations.

The Data Engineer III will design and develop data applications, oversee multiple projects, and ensure smooth operations of data solutions. Responsibilities include BI administration, system performance monitoring, and maintaining CI/CD pipelines.

Lead the design and delivery of scalable data pipelines and platforms for enterprise-level analytics, ensuring operational excellence and data governance.

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 Data Engineer will design, optimize databases, and manage data, ensuring accuracy and accessibility, while working with clients to meet data needs.

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 modernize Business Intelligence capabilities, design data pipelines, deploy ML solutions, and collaborate across teams to improve data processes.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

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'll build data solutions, support analytics, and ensure data quality while collaborating across teams to optimize data management.

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

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.

The Data Engineer will design, build, and maintain analytics-ready Data Marts, create resilient data pipelines, and ensure data integrity, working closely with analytics teams to deliver reliable datasets.

The Data Engineer will manage, optimize, and expand data infrastructure for a clinical data registry, focusing on building automated data pipelines and supporting healthcare advancements through data insights.

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.

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 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.

As an FP&A Data Engineer, you will manage data pipelines, develop financial models, and automate reporting to assist management and teams in making data-driven decisions.

The Data Modeler will design and maintain data models, support data architecture, collaborate with product teams, and ensure quality and governance of data products.

The Data Engineer designs and builds AI-driven solutions, optimizes data pipelines, manages integrations, and enhances analytics capabilities across the organization to improve efficiency and decision-making.

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 Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.