Top Remote Data Engineer Jobs

As a Data Engineer, you will transform raw healthcare data into quality intelligence products, lead product development, and mentor junior engineers while collaborating cross-functionally.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.

The Data Engineer will help build modern data infrastructure, designing ETL pipelines, modeling datasets, and collaborating with teams for improved data quality and accessibility.

As a Data Engineer, you'll lead data engineering projects, develop data transformations, build workflows with Apache Airflow, and ensure data quality and integrity while collaborating with stakeholders.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

Design and optimize database architecture and data models, implement data pipelines, develop solutions on cloud platforms, ensure data quality, manage projects and mentor junior engineers.

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.

As a Data Engineer II, you will build, scale, and optimize data platforms, focusing on ETL/ELT pipelines, and collaborate with data scientists and AI engineers to support data-driven applications and insights.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

Design and implement ETL pipelines, optimize data systems, build data warehouses, and develop AI/ML models for data solutions. Collaborate with teams to deliver data-driven products and ensure data quality and governance.

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.

The role involves driving data engineering innovation, mentoring, promoting modern technologies, and enhancing technical practices at Capital One. Distinguished Engineers will influence key stakeholders while building next-generation solutions and talent within the organization.

The Senior Data Engineer will design data models, build and manage ETL pipelines, contribute to data governance, and explore integrations with AI. Responsibilities include collaboration with teams to ensure data quality and consistency.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

The Data Migration Engineer migrates customer data into SaaS products, ensuring data quality and business continuity while collaborating with teams and managing customer requirements.

The Senior Data Engineer will design and implement data architecture, manage production data pipelines, lead projects, and ensure quality and documentation while supporting progressive politics through data-driven solutions.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

The role involves designing and maintaining ETL/ELT pipelines, integrating diverse data sources, automating Fabric environments, and collaborating with global teams on data solutions.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Senior Data Engineer will design and build scalable data lakehouse solutions, integrate data pipelines, develop data models, manage AWS infrastructure, and collaborate with teams to enhance the data platform.

The Data Engineer will build and maintain scalable data pipelines, ensure data quality, and support a metadata-driven framework while collaborating with stakeholders.

The Principal Data Engineer will lead the design of data frameworks, mentor teams, implement MDM solutions, and ensure data quality across environments.

The Data Engineer will develop and maintain automated data pipelines, enhance data quality and interoperability, and support reporting capabilities for the Department of Veterans Affairs.