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The Data Architect-Senior Associate at PwC is responsible for designing and developing robust data solutions. This role requires building data infrastructure, implementing data pipelines, and ensuring data governance while collaborating with clients to meet their requirements. The position also involves evaluating new technologies, optimizing data architectures, and leading data strategy engagements.
As a Senior Manager in Data Architecture at PwC, you will design and implement data solutions for clients, focusing on developing data infrastructure and systems for efficient processing and analysis. You'll lead teams, interact with stakeholders, and ensure compliance with data governance policies, all while utilizing advanced technologies for data management and integration.
The Senior Manager of Data Management will lead data operations, manage a team of business and data analysts, and work with stakeholders to implement data governance and automated ETL processes. They will handle data modeling in a big data environment and ensure data accuracy.
As a Senior Data Engineer at Allstate, you will design, build, and maintain data pipelines and machine learning workflows to support analytics and AI applications. You'll collaborate with teams to integrate data products and ensure quality and governance, while mentoring junior engineers and adopting new technologies to enhance operations.
Lead technical projects related to Affirm’s Online Infrastructure, collaborating across teams to design and implement scalable solutions for cloud-native environments, mentoring engineers, and guiding strategic decisions.
As a Technical Lead in the blockchain product team at DRW, you will design and support customer-facing products on distributed ledger technology, lead the engineering team, and provide technical support for complex software issues while also documenting features and solutions.
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.
As a Senior Manager at Arity, you will lead R&D teams in developing machine learning models for driver behavior detection. Your role will involve collaborating with product and engineering teams, managing diverse teams of data scientists, and executing communication strategies to ensure successful project outcomes.
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As a Senior Data Scientist, you will analyze healthcare data, develop data-driven solutions, and support product teams. Your role includes defining project requirements, performing data exploration, and creating analytic deliverables that drive business decisions. You will collaborate with cross-functional teams to analyze various data sources and visualize findings to propose actionable strategies.
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.
The Sr. Advisors are responsible for designing and developing models and algorithms for marketing measurement, using big data analytical tools to process data, and implementing machine learning techniques for identity resolution. They will also adapt software tools for R&D environments and extract actionable information from various data sources.
As a Cloud Data & Analytics Manager, you will assist clients in developing data strategies aligned with their business goals, manage cloud data architecture implementations, and coach team members. Your role involves analyzing complex ideas, leveraging data insights, and improving analytics solutions to enhance decision-making and drive business outcomes.
The Senior Software Engineer in Production Engineering at Liftoff will own backend infrastructure, improve tooling for high-frequency releases, and enhance developer workflows. Responsibilities include maintaining distributed systems, mentoring team members, and ensuring infrastructure reliability.
The Senior Software Engineer will drive Trumid's expansion into new geographies and asset classes, focusing on the design and architecture of trading protocols and features. Responsibilities include developing and testing high-quality systems, optimizing performance for low latency execution, and mentoring junior engineers in a collaborative environment.
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.
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.
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