Top Senior Data Engineer Jobs

The Lead Data Engineer delivers end-to-end data solutions, mentoring engineers, designing data architecture, and enhancing data pipelines across the organization.

The Principal Data Platform Engineer leads the design of data architectures, implements data platform patterns, and optimizes system performance, ensuring data strategy operates at scale.

The Senior Data Engineer will implement customer workloads, improve the implementation process, and develop AI-powered solutions using big data technologies.

As a Staff Data Platform Engineer, you will oversee the strategy, architecture, and operation of data and AI platforms, mentor teams, and resolve complex challenges using advanced data solutions.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

As a Senior Data Engineer, you will design and develop data pipelines, ensure data quality, and collaborate on advanced analytics projects within the Applied Research team at Cox Automotive.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.

Thrive Market seeks a Senior Data Engineer to deliver data engineering solutions, collaborate across teams, and manage data architecture, focusing on complex data processing and streaming frameworks.

The role involves building scalable data pipelines, optimizing ETL workflows, designing data schemas, and ensuring data quality and governance while collaborating with cross-functional teams.

The Principal Data Engineer will lead data engineering efforts on public cloud, design scalable solutions, build data pipelines, and drive deliverables with a high level of technical expertise in relevant technologies.

Design and deploy AI-powered solutions, optimize ETL processes, implement advanced data modeling, build dashboards, and collaborate with teams to streamline analytics solutions.

Design and develop Azure cloud-native data solutions, lead a team of data engineers, and enhance data pipelines with a focus on AI-powered solutions and best practices.

The Senior Data Engineer will design and maintain data pipelines, optimize data frameworks, and collaborate with teams to deliver scalable data solutions, primarily using Python, SQL, and cloud technologies.

Design and develop ETL processes, work on data architecture, optimize data storage, and support analytics development while collaborating with business teams.

The Data & AI Engineer III will lead cloud data engineering solutions, develop data infrastructure, establish architectures, mentor team members, and secure data around cloud systems.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The role involves building and improving WHOOP's data platform infrastructure, ensuring reliability and efficiency, and driving best practices across engineering and data workflows.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

As a Senior Data Engineer, you will manage data integration, optimize performance, mentor junior engineers, and collaborate with product teams on innovative solutions in healthcare data modeling.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.

The Senior Data Engineer processes structured and unstructured data, validates quality, develops data products, and provides guidance. Responsibilities include data processing, quality assurance, Agile planning, product development, and supporting deployed applications while monitoring emerging technologies.

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

As a Snowflake Data Engineer, you will design and maintain scalable data pipelines, optimize SQL transformations, and support analytics platforms, collaborating with stakeholders.

The Data Engineer will design and maintain data pipelines on Azure, manage ClickHouse for analytics, and ensure healthcare compliance while supporting ML integration.