Top Remote Data Engineer Jobs
The Data Engineer II collaborates with IT and business partners to manage data pipelines for analytics and quality. Responsibilities include developing data governance, supporting reporting processes, and improving business workflows through data insights and automation.
Deepwatch is looking for a highly skilled Data Engineer to manage and optimize data architecture to support AI and machine learning models. The role involves collaborating with data scientists, AI engineers, and business stakeholders to meet technical and analytical needs, as well as performing data analysis and maintaining dashboards.
As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.
As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.
As a Staff/Senior Staff Data Engineer at Valo Health, you will lead the development of complex data transformation initiatives, integrating real-world data into analysis-ready products, while collaborating with scientists and engineers. Responsibilities include building data pipelines, maintaining data quality, and providing technical leadership within the data engineering team.
The Senior Data Engineer will maintain and optimize database pipelines, monitor data health, refactor reporting structures, and collaborate with various teams to enable impactful reporting. Responsibilities include mentoring team members and developing best practices for data management.
As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.
As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.
As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.
The Big Data Engineer will lead the technical planning for data migration projects, design and implement scalable data pipelines using Azure Databricks, and ensure data quality and integrity. Responsibilities include working with cross-functional teams on data solutions across various functions and providing technical support during and after migration.
As a Big Data Engineer, you will lead the technical planning for data migration, design and implement data pipelines, ensure data quality, and provide technical support within a collaborative analytics team.
As a Big Data Engineer at Nagarro, you will lead technical planning for data migration, design efficient data pipelines, ensure data quality, work with streaming technologies, and provide technical support. You are required to have 4+ years of IT experience, proficiency in Azure Databricks, data modeling, PySpark, SQL, and experience with Azure components and Python.
As a Data Engineer, you will enhance and support data-related systems, ensuring data flows reliably from platforms to clients. Responsibilities include improving data pipelines, designing features for the Data Platform, operational support, and collaborating with product and engineering teams for project execution.
Lead Data Engineers at CapTech design and implement data pipelines using cloud technologies, providing solutions for clients by integrating data from various sources and mentoring other engineers. Their responsibilities include analyzing customer requirements, collaborating with teams for technical solutions, and staying current with cloud methodologies.
The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.
The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.
The Senior Data Engineer will develop and maintain data pipelines, design data models, and work with stakeholders to align data solutions with business objectives. Responsibilities include enhancing data infrastructure, ensuring data compliance, and supporting data visualization tools like Power BI.
As a Lead Data Engineer, you will design, implement, and maintain data pipelines using cloud technologies. You will serve as a trusted advisor, collaborate with product owners, and ensure technical solutions align with customer needs, while mentoring other engineers and staying updated on cloud advancements.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
The Lead Data Engineer at CapTech will design, implement, and maintain data pipelines using cloud technologies such as AWS, Azure, and GCP, while providing technical leadership and collaborating with teams to align solutions with customer needs. They will work with various data engineering technologies and mentor junior engineers.
As a Lead Data Engineer, you will design and implement modern data pipelines, provide technical leadership, and partner with stakeholders to deliver sustainable data engineering solutions using cloud technologies such as AWS, Azure, and GCP. You will leverage your extensive experience to guide clients in best practices and utilize tools for data extraction, processing, and warehousing.
The Lead Data Engineer will design and maintain modern data pipelines using cloud technologies. They will collaborate with product owners to ensure technical solutions meet customer needs, stay current with cloud advancements, and provide technical leadership in data engineering.
As a Lead Data Engineer, you will design and implement data pipelines, manage cloud data systems, provide technical leadership, and collaborate with product owners to meet customer requirements. You will ensure best practices in delivering scalable and efficient data engineering solutions on cloud platforms.
The Lead Data Engineer will design, implement, and maintain modern data pipelines on cloud platforms, provide technical leadership, collaborate with product owners, and stay updated on cloud technologies. The role involves building highly available data systems and providing innovative solutions to client needs.
The Lead Data Engineer at CapTech will design, implement and maintain data pipelines using cloud technologies. They will serve as a trusted advisor to customers and collaborate with various teams to deliver engineered solutions. The role also involves mentoring other engineers and staying updated on cloud technologies.
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