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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.
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.
The Staff Flight Test Instrumentation & Data Engineer will develop and manage flight test instrumentation systems, collaborating with various teams to improve safety and efficiency in testing UAS. Responsibilities include designing data processing workflows, fabricating instrumentation components, and leading scripting for data reduction and storage, all while maintaining data compliance with security standards.
As a Data Engineer at BAE Systems, you'll design, implement, and operate data management systems to meet intelligence needs, ensuring efficient storage, access, and management of data across various platforms. Responsibilities include data extraction, transformation, and load activities, as well as applying semantic data modeling techniques to manage and interpret data effectively.
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 Hinge, you will create data processes and develop a modern data pipeline, support analytical initiatives, and improve the data engineering stack through ETL pipeline development and data modeling. Your role will involve collaborating with stakeholders and ensuring data accuracy for decision-making.
The Senior Associate Data Engineer designs, develops, maintains, and tests data solutions while contributing to design decisions and participating in agile ceremonies. They execute data integration solutions, manage risks, and assist in onboarding new engineers.
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The Associate Data Engineer at Avant will develop and refine the company's data model to support business needs, engage with stakeholders to clarify requirements, and ensure high-quality data governance. The role involves mentoring teammates and utilizing various technologies to automate data pipelines and optimize database performance.
The Senior Data Engineer role involves designing and developing data pipelines using Python and Spark within AWS environments. Responsibilities include collaborating with Agile teams, working on data orchestration, implementing cloud-based solutions, performing unit tests, and mentoring team members in technology trends and best practices.
The Senior Data Engineer will develop and scale a high-traffic digital ad exchange, mentor junior engineers, implement software best practices, and contribute to the architectural strategy. Responsibilities include shipping features, optimizing performance, and enhancing the overall platform.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
As a Senior Data Engineer at Two Barrels, you will manage data, focusing on infrastructure, ETL pipelines, and scalable database design. Responsibilities include improving data models, collaborating with analysts, and automating processes to enhance efficiency while ensuring data integrity.
As a Senior Data Engineer at EliseAI, you will design, implement, and maintain data infrastructure and ETL pipelines. You will optimize data flow for cross-functional teams, create data models, ensure data quality, and develop reporting solutions that aid decision-making and product development.
As a Senior Data Engineer, you will own the data pipeline, designing and implementing data infrastructure and ETL processes. You will collaborate with cross-functional teams to optimize data flow and quality, develop reporting solutions, and enhance decision-making through data-driven insights.
As a Lead Data Engineer at Capital One, you will design, develop, test, and support technical solutions while collaborating with Agile teams. Responsibilities include utilizing programming languages and cloud-based services, mentoring team members, and ensuring code quality through reviews and testing.
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.
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.
The Senior Data Engineer will collaborate with Agile teams to design, develop, and support full-stack technical solutions. This role involves leveraging various programming languages and technologies to deliver cloud-based services that enhance customer financial empowerment, while mentoring team members and driving tech innovations.
As a Senior Data Engineer at Kargo, you will work with the Targeting and Audiences team to enhance data methodologies, create scalable processes for large datasets, and improve data targeting strategies. Responsibilities include maintaining data integrity, collaborating with product and data science teams, and building data pipelines for real-time bidding.
The role involves designing, developing, and integrating strategic data applications, building large-scale data processing systems on Google Cloud, and leading data pipeline automation. Responsibilities include ensuring accuracy through robust testing, adhering to quality standards in an Agile environment, and applying machine learning when relevant.
The Senior Data Engineer/Manager will lead the data strategy for Plasma-Derived Therapies, collaborating with IT functions to develop data models and pipelines, enhancing data quality, and maintaining scalable data systems. They will work with various teams to ensure accurate data availability and support BI requirements, alongside developing systems for monitoring data quality and troubleshooting issues.
The Associate Principal Engineer (Data Engineer) will focus on data integration and warehousing, translate client requirements into technical designs, and oversee architecture and design practices while ensuring adherence to best practices. The role involves problem-solving, POCs development, and collaboration with development teams in an Agile environment.
As a Senior Data Engineer, you will improve Grubhub's big data and machine learning pipelines, delivering data products while collaborating with data scientists and analysts. Responsibilities include managing high-volume data processing using Spark and AWS technologies, maintaining technical documentation, and applying data engineering best practices.
As a Senior Data Engineer II - Technical Lead at Zoro, you will lead projects, design and build cloud-native data pipelines, mentor junior engineers, and drive initiatives for data warehousing, AI, and ML. You will ensure data integrity through integration and governance practices, aligning the engineering efforts with the company's strategic vision.
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