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Top Data Engineer Jobs
The Senior Data Engineer will develop and maintain the data infrastructure and Business Intelligence systems using Snowflake. Responsibilities include optimizing data pipelines, creating SQL queries, and developing automated reports and dashboards, while collaborating with various stakeholders to ensure data integrity and scalability.
As a Lead Data Engineer, you will construct data pipelines for ingested data, collaborate with data science for ML models, and build applications to monitor data systems, ensuring robust data asset management at Windfall.
The Lead Data Engineer will develop and optimize data pipelines and systems, collaborate with cross-functional teams, ensure data quality, and mentor other engineers. This role involves leveraging tools like Talend and SQL on platforms such as Google Cloud and Snowflake, implementing best practices in data governance, and utilizing Agile methodologies for project delivery.
The Senior Data Engineer will design and implement data pipelines and architectures, develop scalable data workflows, ensure data quality, mentor junior team members, and collaborate with stakeholders for robust data processing solutions within the healthcare domain.
As a Data Engineering Consultant at CompassX, you will help clients tackle complex data engineering and analytics challenges by designing, developing, and implementing technical data solutions. You will work on data modelling, ETL, and reporting while leveraging your expertise in enterprise-level architectures and cloud solutions to deliver effective outcomes.
The Senior Data Engineer will design, develop, and maintain data pipelines, storage solutions, and ensure data quality. Collaborating with cross-functional teams, the engineer will optimize data systems and enforce data governance policies while staying updated on emerging technologies.
The Analytics Engineer at MERU will own individual workstreams, engaging with stakeholders to gather requirements and deliver high-quality code. They will mentor junior team members, proactively address issues, and contribute to proposal development while ensuring effective communication with both technical and non-technical audiences.
The Senior Data Engineer at GoodLeap will implement data integrations, participate in project design, uphold data quality, provide mentorship, and collaborate on data architecture. The role requires creating intuitive customer experiences through solid technical skills in data analysis and development.
Featured Jobs
The Sr. Data & Analytics Platform Engineer will design, implement, and maintain secure data platforms, focusing on automation, compliance, and cost-efficiency. Responsibilities include managing role-based access in Snowflake, establishing DevOps practices, driving self-service capabilities, and collaborating on analytics solutions, while ensuring adherence to cybersecurity standards.
The Senior Data Engineer will manage the ingestion, validation, transformation, and storage of healthcare data. Responsibilities include designing scalable data pipelines using Databricks and PostgreSQL in AWS, maintaining data quality standards, optimizing performance, and mentoring team members while collaborating across departments to meet data needs.
As a Senior Research Engineer, you will design and optimize large-scale machine learning data pipelines, collaborate with researchers on data preprocessing for robot training, develop tools for data labeling, and ensure data quality. You will implement PyTorch data loading modules for video processing on large GPU clusters.
The ADAS Sensor Data Software Engineer will manage and synchronize various sensor data for advanced driver-assistance systems. Responsibilities include developing software tools for processing sensor data from camera, LiDAR, and radar systems, collaborating on ADAS feature integration, and optimizing data pipelines while ensuring safety standards are met.
As an ADAS Sensor Data Software Engineer, you will manage and synchronize data from various sensors, developing software tools and algorithms for processing this data while ensuring accuracy for ADAS features. Collaborating with teams, you will optimize data handling on Linux, contributing to the development of advanced driver-assistance systems.
The Senior Data Observability Engineer will develop and implement advanced observability frameworks, mentor teams, create performance metrics, investigate data incidents, and engage clients to customize observability strategies. This role emphasizes enhancing data health and performance standards for clients.
As a Senior Data Engineer, you will develop data pipelines, collaborate with analysts, design architecture, and mentor team members, contributing to data-driven decision-making and innovation across the company.
The Senior Data Engineer will establish a new Data Warehouse in Amazon Redshift, optimize data pipelines, and improve internal processes. Responsibilities include building infrastructure for data extraction and transformation, assembling complex datasets, and collaborating with stakeholders to support data infrastructure needs. The role also involves creating data tools for analytics and driving functional improvements.
The Senior Data Engineer will expand and optimize data and pipeline architecture, manage data flows, mentor junior team members, and contribute to data infrastructure and technology roadmaps in a collaborative environment, focusing on complex data initiatives.
As a Database/Data Engineer at Hiveon, you will build, optimize, and maintain data pipelines for high-load systems, design efficient storage solutions, optimize queries, and support real-time and batch data processing to enhance product performance and reporting.
The Cloud Data Architect will mentor client-facing Data Engineers, improve operational processes around data management, and design scalable data ingestion frameworks. Responsibilities include architecting data solutions on cloud platforms, ensuring security and efficiency, and facilitating communication between teams.
As a Data Engineer at Tiger Analytics, you will design and maintain data pipelines and infrastructure, collaborate with data scientists, and support decision-making through efficient data flow. You will manage Azure Databricks workspaces, configure access controls, and ensure best practices in data security and integration.
The Senior Big Data Engineer will develop and implement software solutions for a complex system. Responsibilities include resolving operational issues, collaborating with team members, and contributing to agile software engineering activities to support intelligence analysis and national security missions.
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