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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Work in collaborative team environment including Product, Design, Engineering and Research to shape how we bring together Cash App and Square. You’ll work closely with product management as well as other cross-functional partners around our new Local initiative which aims to bring together the Cash App and Square ecosystems to engage customers in their local communities.
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Leadership: Play a key role in engineering and product strategy, priorities, and culture. You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
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Our tech stack : We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
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Cloud Data Management: S3, Glacier, Glue Catalog, and/or Azure Blob. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.
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10+ years of experience in data engineering, data science, and software engineering. Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools.
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CPQ / Proposal / Project management / Map-based design software. We are looking for a Senior Product Designer to join us “on the ground floor” and play a foundational role in our product journey.
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Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven.
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Work with top-flight software, mechanical, and electrical engineering talent from places like Google, Palantir, and NASA JPL. We are scaling our engineering team and looking for world-class engineers with experience and expertise in building scalable software solutions for real-world problems.
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You will work closely with our Data Science (DS) teams to map data to our pipelines that feed our DS processes, as well as all other critical downstream teams that leverage the supply platform and partner closely with Nova Credit's Product Managers, Technical Program Managers, and our extended Go-to-Market Team.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Security wizard with 3+ years of experience within one or more areas: detections engineering, threat intelligence, endpoint hardening, device management, network/vpn/proxy/zero trust, XDR/EDR, DLP, insider threat processes, email security, forensic analysis, reverse engineering, data engineering, penetration testing.
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Partner with cross-functional stakeholders, including Product, Engineering, Privacy, Public Policy, Marketing, Comms, and Trust & Safety. Balance legal expertise and business considerations to assist product, operations, engineering, business development, and other teams to develop thoughtful strategies towards product development while mitigating legal risk.
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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. 10+ years experience in engineering data pipelines using data technologies (Python, pySpark, Airflow) on large scale data sets.
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data engineering product management jobs Title: senior software engineer in San Francisco, Greenland, Kansas
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