Top Remote Data Engineer Jobs

As an AWS Data Engineer at Tiger Analytics, you will design, build, and maintain scalable data pipelines on AWS. Responsibilities include implementing data workflows, optimizing performance, and collaborating with data scientists and business stakeholders to deliver analytics solutions.

As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.

As a Principal Full Stack Engineer, you'll lead the design and integration of ad analytics and ad fraud products, manage the software development lifecycle, mentor junior engineers, and ensure best practices in a collaborative environment. You'll work with product teams to gather requirements, build scalable systems, and automate cloud infrastructure.

The Data Engineer III is responsible for constructing high-quality datasets, writing SQL queries, monitoring database stability, and assisting with data governance. They lead and mentor a team, architect data management systems, and create data pipelines on AWS. They also work independently to solve complex problems and collaborate with stakeholders to develop reliable solutions.

As a Data Developer, you will be responsible for developing and maintaining SQL and .Net code for data extraction and loading. You will analyze existing data structures, develop data migration processes, and ensure SQL processes are stable and secure. Bachelor's degree in computer science and 2+ years of experience with programming, relational database management systems, C#, SQL, XML, and ETL tools are required.

As a Senior Data Engineer at Babylist, you will enhance data platforms, focusing on building and scaling Machine Learning pipelines. Collaborate with cross-functional teams to deliver data-driven solutions that support product growth and innovation. An emphasis on robust, production-grade coding is essential.

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.