Top Remote Data Engineer Jobs

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.

Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.

As a Data Engineer at Kustomer, you'll enhance data architecture and streamline ingestion processes to improve data-driven products. You'll analyze datasets, partner with stakeholders for insights, debug data issues, and oversee data pipelines, ensuring data integrity and privacy.

As a Data Engineer at Vetcove, you will design and maintain scalable data pipelines and optimize data workflows using advanced methods like Large Language Models (LLMs). You will collaborate with backend engineers to ensure data integration and utilize databases for efficient data storage and querying.

As a Data Engineer, you will work closely with data scientists and engineers to create high-performance data services, shape data pipelines, and optimize workflows. You will partake in multiple projects, providing technical expertise and improving analytics services in a fast-paced startup environment.

As a Staff Data Engineer, you will lead the development of data infrastructure for marketing analytics at Square. This role involves building pipelines, translating stakeholder needs into ETL requirements, and analyzing data trends to support business reporting and decision-making.

As a Data Analytics Engineer, you will design and maintain scalable data pipelines, automate workflows, and develop predictive models while collaborating with cross-functional teams. You'll support data governance and work with various tools to enhance analytics and reporting capabilities.

As a Staff Data Engineer on the Marketing Data Engineering team, you will build and maintain foundational data infrastructure essential for driving revenue growth. Your role involves creating data pipelines, collaborating with analytics teams, and ensuring data accuracy for business reporting and decision-making, impacting multiple stakeholders at Square.

As a Staff Data Engineer on the Marketing Data Engineering team, you will build and maintain data infrastructure to support revenue growth. You will design and manage data pipelines, collaborate with web analytics and SEO teams, ensure accurate data logging, and assist with data analysis to drive investment decisions and enhance reporting accuracy.

Lead the design, development, and deployment of large-scale data systems. Build and maintain data pipelines, ensure data quality, and collaborate with teams for data-driven insights. Optimize ETL processes and troubleshoot data inconsistencies while recommending data integration solutions.

As a Data Science Engineer at PrizePicks, you will develop and maintain streaming data and MLOps infrastructures to enable real-time pricing markets. Responsibilities include designing data architectures, creating end-to-end data science pipelines, and collaborating with various teams to ensure data quality and reliability.

As a Senior Data Engineer at Arcadia, you will design and develop data pipeline connectors for healthcare data integration, manage technical documentation, participate in team projects, code reviews, and scrum ceremonies, while ensuring timely delivery of solutions and collaborating with various internal teams to enhance analytic capabilities.

The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.

The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.

As a Senior Data Engineer at Atlassian, you will design data models, build scalable data pipelines, and lead the development of data solutions. Responsibilities include extracting and cleaning data, improving data quality, and collaborating with various teams to drive business growth.

As a Staff Data Engineer, you will build scalable data infrastructure and design optimized data pipelines to support analytics and drive insights for mental health care. You will collaborate with cross-functional teams and improve data accessibility and quality to support informed decision-making.

As a Senior Data Engineer, you will transform operational data into analytical data, perform data analysis, write schema changes, and maintain ELT pipelines. You will champion a data-driven culture and interface with internal clients to understand their data needs, alongside troubleshooting data issues.