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Top Remote Data Engineer Jobs
As a Principal Data Engineer at Atlassian, you will be responsible for building data solutions that support crucial business decisions. Your role includes developing backend systems, designing data models, managing analytical data pipelines, and enabling a data-driven culture throughout the organization.
The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.
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 at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
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.
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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.
As a Senior Manager Big Data Engineer at Allstate's Arity, you will design and implement scalable architecture solutions for high-performance systems. Collaborating with cross-functional teams, you will tackle real-time decision-making challenges, focusing on cloud-native systems and high-throughput computing to enhance scalability and reliability.
As a Data Engineer, you will manage and optimize data pipelines, develop ETL processes using Python, maintain AWS infrastructure, model data across teams, and assist in report generation and debugging.
The Sr. Data Engineer will design and build scalable data pipelines while collaborating with cross-functional teams to enhance data acquisition strategies. The role involves working with internal stakeholders, optimizing performance, and implementing data engineering best practices to support generative AI initiatives.
The Senior Data Engineer at Two Barrels will lead the development of data infrastructure and ETL pipelines while collaborating with software and analyst teams. Responsibilities include managing data services/platforms, improving existing data models, and ensuring scalable, cost-effective database design. Staying updated with cloud technologies and implementing process efficiencies are key components of the role.
As a Senior Data Engineer, you will focus on building data infrastructure, managing ETL pipelines, collaborating with analysts, maintaining databases, and implementing process improvements. You will lead the development of data services and stay updated with cloud technologies to enhance data handling across the company.
The Senior Data Engineer will analyze requirements, write and ship code in dbt, design data pipelines, enhance data systems, and mentor junior engineers. This role focuses on leveraging data for strategic business impact and improving developer efficiency through automation within a cloud environment.
As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications, collaborating closely with product managers and designers. You will write efficient code, participate in code reviews, troubleshoot issues, and contribute to system architecture.
Develop and maintain data platforms, architect data pipelines, and collaborate with stakeholders to drive operational efficiencies. Improve system performance and ensure data security and compliance. Share knowledge through documentation and mentoring.
As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.
The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.
As an Intermediate Data Engineer, you will develop new product features and enhance existing products using ETL (Python + SQL), ETL Pipelines (Airflow), and API (Go) development. This role involves participating in the entire product lifecycle, ensuring the reliability and efficiency of data processing solutions.
As a Data Engineer, you'll collaborate with Product Owners, Architects, and Developers to build, deploy, and maintain complex applications using microservices, Node.js, and Python in an AWS environment. You'll focus on ensuring high-quality software delivery through automation, testing, and continuous integration while mentoring team members.
As a Senior Data Engineer, you will develop analytics-driven solutions for GM organizations, build analytical datasets, collaborate with Researchers and Data Scientists, automate data processes, and adopt cloud-first technologies. The role emphasizes the use of data engineering best practices while fostering a culture of continuous learning within the team.
The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.
The Data Engineer will be responsible for developing and deploying data pipelines for streaming and batch data from multiple sources. They will create data models, implement business logic, and work with a variety of technologies including Azure Databricks, Apache Spark, and data storage solutions. Excellent communication skills are required.
The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.
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