The role involves leading data engineering teams and ensuring the successful completion of data components and deliverables. It also includes maintaining high-quality data pipelines for legal research tools and AI-driven solutions.
Remote Data Engineering Jobs (275)
Tags = data-engineering
The Cyber Threat Detection Engineer will develop robust threat detection capabilities using various technologies and collaborate with customer cybersecurity teams to enhance their security posture. This role also involves creating automation playbooks for incident response and aligning detection content with customer-specific frameworks.
The Data Science Lead will design, develop, and deploy production-grade ML and DL models, focusing on time-series data and predictive analytics. They will also implement LLM-powered applications and develop workflows for Agentic AI systems.
The Analytics Engineer will design, build, and maintain scalable data models to support various business needs. They will collaborate with different teams to ensure reliable data products and establish best practices for data quality and integrity.
The Data Quality Coordinator serves as the primary liaison between the Data Team and Data Acquisition, coordinating the receipt and validation of hospital files. They are responsible for developing validation workflows, collaborating with cross-functional teams, and continuously improving data quality standards and processes.
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Design, develop, and maintain scalable and secure data pipelines and ETL processes. Collaborate with teams to ensure data models meet business requirements and security standards.
The CTO will lead the technical vision and execution for Civis Analytics, ensuring alignment between the core data platform and AI product portfolio. This includes guiding teams toward an AI-centric development environment while making critical architectural decisions.
Lead the experimentation roadmap and design advanced experiments to measure impact across the organization. Conduct deep dive analyses to uncover insights and develop measurement frameworks that align product metrics with business outcomes.
As a Staff Data Scientist, you will lead the experimentation roadmap and apply advanced causal inference techniques to drive actionable insights. You will also mentor junior data scientists and ensure alignment between data insights and business decisions.
The Principal Software Engineer will lead the development of AI/ML solutions. They will be responsible for designing and implementing software systems that leverage artificial intelligence and machine learning technologies.
The Senior AI Engineer will design and develop intelligent, scalable AI systems to improve patient experiences and optimize healthcare operations. They will collaborate with cross-functional teams to ensure AI solutions meet real-world needs and comply with healthcare standards.
You will own critical data at Airbnb, including Users, Listings, and Marketplaces, and help improve Data Engineering practices. Your role will involve building scalable data architectures and collaborating with various teams to integrate data into products.
Lead the product strategy and ownership for MongoDB’s Data teams and products, ensuring they meet the unique challenges of the Product and Technology teams. Drive the vision and strategy for internal data as a product, focusing on telemetry and product adoption.
Staff Machine Learning Engineer, Listings and Host Tools Data and AI
Airbnb
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Full Time
·
27 Weeks Ago
Airbnb
The role involves working with large-scale structured and unstructured data to build and improve machine learning models for Airbnb's products. Collaboration with cross-functional teams is essential to identify business opportunities and drive engineering decisions.
Finance Systems Data Analyst
Remote - Referral Board
·
Full Time
·
27 Weeks Ago
Remote - Referral Board
The Finance Systems Data Analyst is responsible for maintaining and reconciling financial data between SAP and Snowflake, as well as developing financial dashboards and reports. This role also involves supporting finance users and participating in system upgrades and automation projects.
The Finance Systems Data Analyst is responsible for maintaining and reconciling financial data between SAP and Snowflake, as well as developing financial dashboards and reports. They also support finance users with system issues and contribute to process improvements.
The Finance Systems Data Analyst is responsible for maintaining, validating, and reconciling financial data between SAP and Snowflake. They will also develop and maintain financial dashboards and reports to support financial planning and decision-making.
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The Data Engineer will work across the full lifecycle of data engineering, including building and maintaining data pipelines and deploying solutions in production. They will also be responsible for fixing bugs, improving existing systems, and contributing to backend services.
As a Data Scientist, you will identify opportunities and help shape product decisions through data analysis and experimentation. You will also influence decision-making with data-driven insights and contribute to the excellence of experimentation methodology.
Design and implement advanced detection strategies while collaborating with cross-functional teams to build efficient log ingestion pipelines. Engineer and deploy detection solutions on Databricks, ensuring high accuracy and minimal false positives.
Senior Projective Executive (Software Development)
StarHub Ltd
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Full Time
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29 Weeks Ago
StarHub Ltd
Lead the end-to-end project management of multiple software development initiatives, ensuring timely delivery and high-quality standards. Facilitate Agile ceremonies and manage stakeholder expectations while fostering team dynamics and continuous improvement.
The Senior Analyst will own and scale the CRM analytics strategy, focusing on deepening customer relationships and optimizing retention. This role involves building measurement frameworks and partnering with various teams to ensure data-driven decision-making tied to business impact.
Lead and mentor a team of data platform engineers while driving architectural decisions for distributed systems and lakehouse platforms. Oversee the design and implementation of scalable data pipelines and analytics workflows.
As a (Senior) Quant Portfolio Manager, you will manage investment strategies and refine portfolio processes. You will also conduct portfolio reviews and collaborate with various teams to enhance analytical workflows.
Lead end-to-end project management for digital transformation initiatives, ensuring alignment with business goals and regulatory requirements. Oversee projects involving data platforms, AI/ML, and advanced analytics while managing cross-functional teams.
Lead the alignment of business challenges with effective data science and machine learning solutions. Collaborate with client stakeholders to clarify objectives and ensure solutions deliver measurable business value.
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The Full Stack Data Engineer will design and implement scalable data ingestion pipelines and develop data storage solutions. They will also build software applications and APIs to expose data services and ensure the reliability of data infrastructure.
Design, build, and manage the data and integrations that enable AI agents to take autonomous actions across business systems. Orchestrate a collaborative network of specialized AI agents to solve complex business problems.
Lead the design, implementation, and optimization of enterprise-scale Azure data platform solutions. Establish best practices for data engineering and analytics while driving modern data architecture initiatives.
Design and develop ETL/ELT pipelines and optimize performance of large-scale distributed data processing jobs. Collaborate with data scientists and business stakeholders to ensure data quality and compliance.
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