Top Data Engineer Jobs
The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.
The Data Entry Specialist will manage data entry processes, ensuring accuracy and compliance with regulations. Responsibilities include filling out permit applications, entering data into systems, maintaining logs, troubleshooting issues, and assisting with administrative tasks while supporting data exception reviews and customer requirements.
The Manager of Commercial Data and Operations will oversee sales and commercial operations processes, analyze commercial data, and build dashboards to support multiple field sales teams. This role involves managing incentive compensation, developing target lists, and providing actionable insights through data analysis using tools like ThoughtSpot and Power BI.
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The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.
The Big Data Architect is responsible for re-architecting the Data Model and Access Platform using Big Data technologies. This role requires providing technical direction to create a scalable data platform that supports analytics for security-related datasets, leveraging extensive experience with data implementations and open-source projects.
The Martech Data Engineer will design and develop data collection and ingestion solutions using Snowflake, EventHub, and Kafka, focusing on Adobe data solutions and integrations with various marketing platforms. Strong experience in data engineering within the MarTech domain is necessary.
The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.
As a Data Engineer I, you will develop and maintain data extraction systems and production data pipelines, transforming raw data into actionable insights. Collaborating with senior engineers, you will implement best practices in software engineering and contribute to enhancing existing data flow systems.
The Sr. Data Engineer will focus on developing data infrastructure and pipelines, ensuring data accessibility and quality. Responsibilities include integrating data, maintaining database requirements, and analyzing new data sources while working in an agile team environment.
The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.
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