Top Remote Data Engineer Jobs

The Principal Data Engineer at Hypergiant will develop and improve a data service for cloud-based applications, support data modeling, collaborate throughout the software development lifecycle, ensure high-quality code and data reliability, and lead technical initiatives while fostering a culture of continuous improvement.

As a Data Engineer at Datavant, you will create and maintain ETL processes, collaborate with development teams to define data flows, and ensure the quality of data models. You will document data architecture, audit data quality, and identify inefficiencies in current processes. Your role involves participating in agile projects and producing documentation to support development.

Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.

The Data Engineer II will develop and maintain data pipelines, implement ELT processes, and ensure data quality. The role involves collaboration with various teams to design data products and optimize queries for performance while modernizing the data pipeline platform.

As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.

As a Data Engineer at Qarik, you will design and implement production-quality ETL pipelines, manage data lakes, and create insightful reports and dashboards. Your role involves collaborating with clients to understand their data objectives and employing tools like Databricks and Python for effective data strategies. You will also communicate technical concepts to diverse audiences and ensure optimal performance in data processing.

As a Data Engineer II, you will collaborate with data scientists to build data pipelines, manage data marts, and support predictive modeling. Your role involves ensuring data quality, developing architectures for data extraction, and presenting findings to stakeholders.

The Data Engineer will develop database designs and architecture in an Azure environment, contribute to technical designs, secure data migrations and transformations, conduct data profiling and cataloging, and migrate ETL and SSIS packages to Azure Synapse.

As a Backend/Data Engineer, you will develop backend data tools and services, work with the Data Analytics team on technical implementations, review code, and architect cloud infrastructure on AWS while integrating APIs from platforms like Discord and Spotify.

The Sr. Data Engineer will be responsible for the architecture, design, development, and maintenance of analytical data streams. They will manage data pipelines, data warehousing, and business intelligence environments while collaborating with users to define requirements and enhance existing solutions.

As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.

The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.

The Senior Snowflake Data Engineer will design and implement data models, manage data quality, optimize data processes, and mentor offshore engineers. Responsibilities include building scalable data solutions, collaborating with stakeholders to deliver analytics products, and driving improvements in data management practices.

The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.

The Intermediate Data Engineer will enhance data warehousing and clean room architecture, collaborate to build data models, and develop features using agile methodologies while working with various teams on requirements.

Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.

The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.