Top Data Engineer Jobs
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.
The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.
The Senior Data Engineer will design, implement, and maintain data pipelines, ensuring data integrity and best practices. They will collaborate with cross-functional teams on database systems and support R&D projects and production tasks, focusing on database administration and documentation in a secure environment.
The Senior Data Engineer will design, develop, and maintain complex ETL pipelines using SQL and PySpark, focusing on processing time-series data and ensuring data quality. The role involves collaborating with product stakeholders and contributing to the production of data products.
Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.
As a Senior Data Engineer at Cruise, you will architect & automate end-to-end data processing and management on Google Cloud Platform. Collaborate with XFN partners, build data pipelines, and mentor junior team members. Requirements include experience with Big Data Systems, Data Lakes/Warehouse/Lakehouse, ETL/ELT pipelines, Python/Java/C, Data Modeling, and SQL programming.
The Senior Data Engineer will expand and optimize data pipeline architecture, build data pipelines for the machine learning platform, and develop integration architecture for various data sources, while collaborating with cross-functional teams.
The Senior Data Engineer will design and maintain data processing pipelines, focusing on Scala and Spark, while collaborating with healthcare projects to improve the quality of care data. Responsibilities include writing tests, conducting code reviews, and working alongside DevOps for CI/CD processes.
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The Senior Data Engineer will lead analytics and data warehousing projects using Microsoft technologies. Responsibilities include developing data solutions, collaborating with teams, and advising clients on analytics strategies. The role emphasizes mentorship and client success, within a consulting firm focused on digital innovation.
The role involves executing data architecture and management projects, transitioning existing data sets to new technologies, leading data analysis using machine learning, managing data ingestion processes, and improving data quality and vendor management, all while collaborating with commercial teams to understand data flow and investment processes.
As a Lead Data Engineer at DICK'S Sporting Goods, you will design and manage data platforms, ensuring scalability and reliability. Responsibilities include automating CI/CD pipelines, maintaining enterprise data solutions, creating dashboards for monitoring, and driving technical strategies for cloud resources. Proficiency in coding/scripting and experience with cloud platforms and Infrastructure as Code is required.
As a Senior Data Engineer at Amperon, you will build and optimize a scalable data stack for energy forecasting, automate data processing and model training, monitor system performance, and enhance data flow efficiency while working with senior team members to address engineering challenges.
The Senior Data Engineer & Analyst will design and productionize complex data pipelines, develop data ingestion modules, build AI models, and apply CI/CD practices to ensure code readiness. Collaborating in an Agile environment, the role focuses on enhancing hotel revenue and minimizing operating costs through scalable data solutions.
As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.
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As a Staff Analytics Engineer, you will design and implement systems for data integrity, efficiency, and compliance, while collaborating with cross-functional teams. Your role includes developing data assets for product use, enhancing data quality, and automating data management tools, all while mentoring team members and ensuring adherence to data protection regulations.
The Senior Data Engineer at CodaMetrix focuses on maintaining and optimizing the data platform and analytics architecture. Responsibilities include creating and managing data pipelines, collaborating with multiple teams for data infrastructure needs, and enhancing data accessibility and performance to support analytical initiatives and AI-driven products.
As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.
The Senior Data Engineer will lead the design and development of high-performance data architectures for batch and streaming processing, manage ETL/ELT processes, optimize database systems, drive continuous improvement in data workflows, and collaborate with teams to support data-driven decision-making.
As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.
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