Top Remote Data Engineer Jobs
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.
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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.
The Data Engineer will manage the data warehouse and associated pipelines while administering the production OLTP database. Responsibilities include ensuring smooth data operations and maintaining best practices with a focus on current technologies and effective communication.
The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.
The Data Engineer II will build and maintain data infrastructure, focusing on creating scalable data pipelines, managing transformations, and ensuring data quality and security. Responsibilities include coding in Python and SQL, developing on AWS, leading projects technically, supporting data analysts, participating in code reviews, and implementing tooling for data governance.
As a Data Engineer at Prophecy, you will develop data engineering workflows using Apache Spark and Apache Airflow. You will be responsible for solving complex customer problems, educating users on best practices, and building reusable Spark packages to enhance data transformation processes.
As a Data Engineer at Testlio, you will develop data models, create and maintain data pipelines, automate data integration processes, and implement data mart systems. You will work closely with the Business Operations team to enhance the organization's data accessibility and reporting capabilities.
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
The Principal Data Engineer will lead a Data Engineering team responsible for developing and implementing data solutions to enhance the company's data capabilities. This role includes designing and documenting software solutions, mentoring team members, and improving existing systems for increased efficiency and performance.
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As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
As a Data Engineer I, you will create and maintain scalable code for data needs, improve software processes, develop observability tools for monitoring data jobs, work with Data and MLOps Engineers to integrate data features, mentor teams on software best practices, and innovate solutions to data challenges.
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