As an algorithm/search engineer, you will design and implement search retrieval algorithms and optimize existing algorithms for performance. You will collaborate with various teams to ensure high-quality solutions for customers.
Remote Big Data Jobs (172)
Tags = big-data
As a Software Engineer II, you will design, develop, and maintain backend services and distributed systems powering search at scale. You will collaborate with applied scientists and ML engineers to bring research prototypes into production.
The Senior Consultant Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to support client data-driven initiatives. They will lead technical work streams and collaborate with client stakeholders to deliver impactful data solutions.
Databricks Developer (Java & Apache Spark) with IRS MBI Clearance required
3M Consultancy
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Full Time
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20 Weeks Ago
3M Consultancy
The Databricks Developer will build and maintain data pipelines using Apache Spark on Databricks and ensure data handling follows security and governance standards. They will also investigate and fix issues in production environments.
The Staff Gen AI Scientist will deliver solutions to improve healthcare outcomes and reduce costs. They will work with a team to develop machine learning models and ensure their successful deployment and monitoring.
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The role involves evolving and innovating Netflix's data infrastructure and building scalable, highly available distributed systems. Engineers will collaborate across teams to solve complex challenges and contribute to open source communities.
The Sr Staff AI Scientist will deliver solutions to help clients identify payment integrity issues and improve healthcare outcomes. They will work collaboratively with a team and be responsible for the delivery of value associated with their projects.
You will build and operate container and PaaS platforms with integrated security and governance controls. Additionally, you will develop APIs and CLI tools for self-service use by development teams.
The Data Analytics Manager will prioritize and manage team tasks to align with company goals, lead cross-functional projects, and define measurement standards for data-driven business decisions. They will also serve as a subject matter expert in analytics, providing insights and recommendations to stakeholders.
Define the architectural backbone and scalability of Holafly’s data ecosystem. Enable data-driven decision-making that impacts millions of travellers worldwide.
The Data Analytics Engineer analyzes complex customer data to determine integration needs and develops scalable data integration pipelines. They also collaborate with various teams to align solutions with business objectives and automate data validation processes.
The Senior Application Architect will oversee multiple teams of developers and applications, ensuring that software meets client expectations for quality and timeliness. They will also act as a technical partner to product and program leadership, translating product vision into actionable technical direction.
Develop parts of a highly available backend with a microservice architecture. Write maintainable, clean, simple, testable, scalable, and efficient code.
The Data Engineer will design, build, and optimize ETL/ELT workflows and develop scalable data pipelines. They will also collaborate with cross-functional teams to deliver impactful data solutions.
The role involves bridging the gap between backend web development and data science teams, as well as developing backend data pipelines and integrating web services with databases. Additionally, the candidate will work on cutting-edge data processing infrastructure.
The Account Executive will cultivate relationships with new and existing clients to sell enterprise products and work closely with Lead Development Reps to foster new opportunities. They will also build a pipeline and consistently close business on a monthly and quarterly basis.
Pessoa Engenheira de Analytics - Vaga afirmativa para pessoas LGBTQIAPN+
LinkedIn Job Wrapping
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Full Time
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21 Weeks Ago
LinkedIn Job Wrapping
You will join the Data and Consulting team to help clients transform their data strategy through advanced analytics. This includes guiding analyses, interpreting requirements, and collaborating with various divisions to provide data-driven marketing services.
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Handle impactful customer technical projects, including designing and building reference architectures and guiding customers through big data challenges. Collaborate with various teams to ensure successful project delivery and customer satisfaction.
You will work on impactful customer technical projects, including designing and building reference architectures and guiding customers through big data projects. You will also provide escalated support for operational issues and collaborate with various teams to ensure successful project delivery.
As a Staff Performance Engineer, you will build and run performance benchmarks at scale and profile query engines using various tools. You will also collaborate with developers to deliver performance-critical improvements and publish performance best practices.
The candidate will lead the search backend team, focusing on areas such as indexing, document ranking, and personalization for over 450 million users. They will also work on innovative applications of machine learning techniques to enhance the search experience.
The MLOps Field Engineer will design and implement cloud infrastructure solutions for customers, focusing on AI/ML technologies. They will also work hands-on with technologies, deploying and testing solutions before handing them over to support teams.
The role involves architecting backend systems as part of a Web3 security team and maintaining existing systems to ensure service quality. Additionally, the engineer will design and implement new services while collaborating with product managers and operations teams.
The Senior Data Engineer will design, build, and maintain the infrastructure for analyzing large data sets while collaborating with data scientists and stakeholders. They will also monitor and optimize the data infrastructure's performance and reliability.
The Regional Sales Manager will identify, develop, and execute a comprehensive account strategy to close new business and drive expansion growth. They will also maintain accurate sales forecasts and report on sales activity to senior management.
Analytics Engineer - Fluent English
LinkedIn Job Wrapping
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Full Time
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22 Weeks Ago
LinkedIn Job Wrapping
You will join the Data & Consulting team to help clients improve their data strategy through advanced analytics. This includes leading analyses, collaborating with various teams, and developing data-driven solutions.
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We'll notify you when new positions matching this search are posted
The Senior Data Scientist will drive data-informed product decisions by turning complex data into actionable insights. Responsibilities include collaborating with various teams, designing experiments, and building dashboards to monitor performance.
The Data Engineer will develop and maintain ETL catalogs, build and update data pipelines, and design databases for large datasets. They will collaborate with engineers and data scientists to productize prototypes and participate in architectural decisions.
You will own the data ecosystem by building and maintaining robust data pipelines and ETL processes while ensuring data accessibility and reliability. Additionally, you will collaborate with cross-functional teams to translate business goals into technical requirements and support AI/ML initiatives.
The Chief Technology Officer will lead and scale engineering teams, drive operational excellence, and own the technical roadmap for the AI-powered marketplace platform. This role involves fostering collaboration between distributed teams and ensuring platform scalability and performance.
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