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The Data Architect will design and build data infrastructure, develop data pipelines, and ensure compliance with data governance policies. The role involves collaborating with business stakeholders, optimizing cloud solutions, and implementing automation strategies. The architect will also mentor associates and communicate complex concepts effectively to drive data strategy engagements.
The Data Architect - Senior Manager will design and develop robust data solutions, transform raw data into insights, and implement data architecture strategies. Responsibilities include managing data pipelines, ensuring compliance with governance, collaborating with stakeholders, and leading cloud-based implementations. The role requires strong problem-solving and leadership skills.
The Lead Data Scientist will design and implement advanced analytics, manage third-party data scientists, develop data pipelines for ML/AI workflows, conduct statistical analyses, and drive automation in data processing. This role includes guiding junior members and continuously evaluating new technologies for improved data solutions.
As a Lead Data Engineer, you will design and implement scalable data solutions, build and manage robust data pipelines, and ensure data integrity for stakeholders. You will collaborate with Agile teams, mentor peers, and drive innovation using big data technologies on cloud platforms.
As a Lead Site Reliability Engineer, you will design and operate a large-scale secure cloud platform, enabling engineering teams to deliver reliable services in the cloud. Responsibilities include working on cloud adoption, compliance, cost management, and collaborating with various teams to ensure operational excellence in cloud infrastructure.
As a Data Architect at PwC, you will design and implement data architecture strategies, develop data pipelines, and integrate data solutions while collaborating with stakeholders. You'll be focused on transforming raw data into actionable insights and ensuring compliance with governance and security policies.
The Data Architect Senior Manager at PwC will be responsible for designing and implementing robust data architectures, leading cloud-based solutions, and integrating data pipelines. This role involves collaborating with business stakeholders, driving data strategy engagements, and ensuring compliance with governance policies, while coaching and developing high-performing teams.
As a Senior Data Engineer, you will build and optimize data assets and pipelines for Business Intelligence and Advanced Analytics. You'll maintain data repositories, identify process improvements, create complex dataset architectures, and work with business partners to address their data needs.
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The Senior Software Engineer in the Life Sciences Team will enhance Domino Datasets functionality through API access, improve version control in Domino Projects, design regulatory compliance features, implement audit logging, automate data version tracking, and optimize workspace performance using Kubernetes technology.
The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
As a Software Development Engineer in Test at Cisco Meraki, you will collaborate with UI, backend, and firmware engineers to develop test frameworks and systems. Your role focuses on ensuring quality through automation and integration into CI/CD pipelines, while solving complex problems that enhance product reliability and user experience.
As a Full Stack Software Engineer on the MX Dashboard team, you will architect, design, and build scalable systems for MX SD-WAN and Security features, collaborate with cross-functional teams, solve architectural challenges, and mentor fellow engineers. You'll also ensure the performance and efficiency of the Dashboard systems that manage a large number of network devices.
The Data Analyst II will analyze large datasets to identify trends and insights that inform business decisions, develop reports and dashboards, ensure data quality, and collaborate with cross-functional teams to deliver data-driven solutions. Stay updated with data analysis best practices.
The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.
The Senior Manager of Data Management is responsible for overseeing the Cohere data supermarket, managing business and data analysts, designing data use capabilities, implementing automated ETL processes, and ensuring data accuracy in a big data environment, while working collaboratively with stakeholders to enhance operational efficiency.
As a Senior Site Reliability Engineer, you will design and operate a secure cloud platform, enabling efficient cloud adoption and collaborating with engineering teams. Responsibilities include cost management, compliance reporting automation, infrastructure as code, and providing cloud design guidance and monitoring.
You will design and develop software solutions for the Governance feature at Domino, extend open-source components, create technical designs, conduct code reviews, and collaborate with product managers for timely solutions.
The Technical Leader, Software Engineer will build scalable distributed solutions for Cisco Meraki's platform, working closely with engineering teams to ensure system performance and reliability. Responsibilities include managing project direction, optimizing solutions, and collaborating with various teams, all while adhering to agile methodologies.
Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.
The Senior Cloud Backend Software Engineer will enhance the LogScale SaaS solution by developing new features and improving existing functionalities. Responsibilities include working on multi-tenancy, user permissions, and alerting, collaborating with teams, writing automated tests, and ensuring high-quality delivery of features.
The Sr. Software Engineer, SDET will develop testing frameworks and tooling for CrowdStrike's services. This role involves ensuring software quality by verifying features, enhancing automated test coverage, and maintaining test infrastructure. Candidates should have significant experience in SDET or backend development, focusing on cloud SaaS products.
As a Senior Software Engineer, you'll enhance the Falcon Fusion product by building fault-tolerant Golang microservices, managing high-volume Kafka event pipelines, and supporting system reliability and performance. You'll work on cross-team initiatives, troubleshoot production issues, and leverage your expertise in backend development and distributed systems.
The role focuses on building and maintaining data infrastructure and tools for the Strategic Counter-Adversarial Research team, collaborating with operational teams to transfer research to production and integrating new components into existing systems.
As a Senior Software Engineer in Production Engineering at Liftoff, you'll own backend infrastructure, improve tooling, and enhance developer workflows. You will work with large scale data processing, architecture reliability, and mentoring team members while leveraging cutting-edge technologies to ensure efficiency and reliability in product delivery.
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