Azure Cloud Associate

Join Sonsoft Inc. as an Azure Data Engineer specializing in Azure Data Lake (ADL), Azure Data Warehouse (ADW), and Azure Data Factory (ADF) technologies. This role offers an exciting opportunity to work with cutting-edge cloud technologies and contribute to transformative data solutions. You will be part of a dynamic team, delivering innovative data-driven s…

Join Sonsoft Inc. as an Azure Data Engineer, specializing in Azure Data Lake (ADL), Azure Data Warehouse (ADW), and Azure Data Factory (ADF). In this role, you will leverage your skills in cloud data solutions to drive innovative data strategies and enhance our analytics capabilities.

Join our dynamic team at Cayuse Talent Solutions as an Azure Data Architect. We are seeking a highly skilled professional with a proven history of developing scalable and efficient data platforms on Azure. This role involves leading architectural projects and providing expert guidance on Azure data services.Key Responsibilities:Oversee the architectural design and implementation of various data projects.Act as a Subject Matter Expert (SME) on Azure data services.Design data schemas using Azure Synapse.Establish a secure, scalable, and high-performance Azure environment.Devise comprehensive data platform designs and architectures.Ensure compliance with data governance and access control standards.Translate complex business requirements into actionable data strategies.Guide clients through data workshops to achieve their business objectives.Serve as a trusted advisor to customers.Utilize your knowledge of Big Data architectural patterns to inform decision-making.Work effectively in an agile environment and drive optimization initiatives for the Data Platform.Engage in presales activities with a proven track record.

Role Overview Databricks is hiring a Staff Partner Engineer focused on Azure. This position plays a central role in driving technical collaboration between Databricks Product and Engineering teams and Microsoft Azure. The Staff Partner Engineer serves as the primary technical contact, managing the joint product roadmap, supporting engineering integrations, and ensuring Databricks products operate smoothly within Azure. This role works closely with Azure Partner Solutions Architects, Product Managers, and engineers to align priorities, identify integration needs, and accelerate feature delivery. The position reports to the Director of Partner Engineering and partners with Databricks Product Management, Engineering, and Field teams. What You Will Do Lead the technical roadmap for integrating Databricks and Azure products, serving as the main interface between Databricks Product Management and Azure partner teams to align features and co-innovation goals. Track and resolve cross-company dependencies and blockers, manage milestone timelines with Azure teams, and coordinate regular meetings and escalation processes to keep projects on track. Oversee engineering integration projects between Databricks and Azure product teams, guiding initiatives from initial scoping through delivery. Create and maintain technical architecture documentation, including integration patterns, detailed architecture diagrams, and reference implementations for combined Azure and Databricks solutions. Offer technical guidance to field teams on Azure-Databricks integration, working with Solution Architects and Customer Success to support Azure customer wins. Locations New York City, New York San Francisco, California Seattle, Washington

CHAOS Industries is at the forefront of transforming modern defense through innovative systems specifically designed for the challenges of today's world. Founded by seasoned U.S. military veterans and Silicon Valley pioneers, our groundbreaking products leverage Coherent Distributed Networks (CDN™) to empower warfighters, commercial aviation operators, and border security teams to respond swiftly, adapt to changing scenarios, and stay ahead of emerging threats. In an era where technological threats evolve rapidly, CHAOS Industries provides advanced sensing and detection solutions that offer a critical advantage: time. Established in 2022, CHAOS Industries has successfully secured $1 billion in funding from top-tier investors such as 8VC, Accel, and NEA. Our headquarters are based in Los Angeles, with additional offices located in Washington, D.C., San Francisco, Seattle, and London. To learn more about our mission and values, please visit www.chaosinc.com. The RoleWe are seeking a talented software engineer to develop the backend systems that drive our sensor infrastructure, which includes services that ingest, process, and deliver data from radar, RF, and other sensing modalities at scale. You will have the opportunity to design and manage cloud-native systems on Azure, collaborating with systems, hardware, and software engineers within a small, autonomous team. This role is pivotal in its early stages, allowing you to make significant architectural decisions, deliver production-ready code, and see your contributions directly impact the safety of individuals. What You’ll Do- Design and build scalable backend services using Python to process and serve sensor data on Azure.- Architect cloud infrastructure to support high-throughput, low-latency data pipelines.- Develop and maintain CI/CD pipelines, testing infrastructure, and release processes.- Collaborate closely with hardware and systems engineering teams to seamlessly integrate software with physical sensor systems.- Make foundational software architecture decisions as a key team member.- Mentor and guide engineers as the team expands.- Travel occasionally to other offices (LA, DC) and customer sites.

About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.

About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.

Accordion is looking for an Azure Cloud Specialist to help shape and maintain cloud solutions using Microsoft Azure. This position centers on designing, implementing, and managing Azure environments that support business operations. What you will do Design and build cloud solutions on Microsoft Azure. Oversee the implementation and ongoing management of Azure-based systems. Work closely with teams across the company to integrate Azure technologies into daily operations. Focus on optimizing performance, security, and compliance within the Azure environment. Location This role is available in Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco.

About UsAt Imprint, we are transforming the landscape of co-branded credit cards and financial products to be more innovative, rewarding, and brand-centric. We collaborate with distinguished companies such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch contemporary credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our platform seamlessly integrates advanced payment infrastructure, intelligent underwriting, and a user-friendly experience, enabling brands to offer impactful financial products without the need to operate as a bank.Co-branded cards represent over $300 billion in annual spending in the U.S., yet many are still reliant on outdated banking systems. Imprint stands out as the modern alternative: adaptable, technology-driven, and tailored for today’s consumers. Supported by renowned investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a top-tier team to revolutionize payment methods and foster brand growth. If you're eager to work in a dynamic environment, tackle challenging problems, and make a significant impact, we invite you to join us.Our TeamThe Data Engineering team at Imprint is tasked with developing and expanding the data infrastructure that underpins product innovation, analytics, operations, and machine learning throughout the organization. We are responsible for creating the pipelines, platforms, and processes that enable our stakeholders to trust and leverage data effectively.We are seeking a Data Engineer to advance our modern data architecture and deliver dependable, scalable data solutions. Your contributions will directly influence decision-making and innovation across various business areas—from financial operations to real-time personalization.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

About Us:At Notion, we empower individuals and teams to create stunning productivity tools tailored to their unique workflows. In a digital landscape crowded with applications and tabs, our platform unifies documents, notes, projects, calendars, and emails—all enhanced with AI capabilities to streamline tasks and provide quick insights. Trusted by millions, including industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its versatility, helping users optimize their time and resources.We believe in the value of in-person collaboration, making it a cornerstone of our company culture. To foster teamwork, all employees are required to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Certain roles may necessitate additional in-office presence.About The Role:As our company expands at an impressive pace, we are on the lookout for skilled Data Engineers to join our finance team. In this role, you will be instrumental in constructing robust datasets and data pipelines that underpin our financial reporting. Your work will bridge our product, financial, and operational systems, creating reliable processes that drive our growth. If you have a passion for data analytics, complex modeling, and innovative problem-solving, we would love to have you on board.What You'll Achieve:Develop essential datasets that act as the definitive sources for Notion’s financial reporting, integrating information from financial systems, business databases, and our product.Collaborate closely with our Finance, Monetization Engineering, Business Intelligence, and Data Science teams to address critical financial analysis and reporting requirements.Design, construct, and oversee data pipelines that not only meet current demands but are also scalable as our data needs grow.Facilitate widespread access to high-quality financial data across the Finance, Staff, and go-to-market teams.Skills You'll Need to Bring:A minimum of 4 years of experience as a data engineer, focusing on building core datasets and supporting various business sectors, particularly in product and high-volume data environments. A strong enthusiasm for analytics use cases, data modeling, and tackling intricate data challenges is essential.Experience in creating integrations and reporting datasets for payment, financial, and business systems such as Stripe, NetSuite, Adaptive, Anaplan, Salesforce, or equivalent.A proactive mindset, with the ability to gather and synthesize high-impact needs from business partners, designing and implementing suitable technical solutions.

Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.

Whizz is hiring a Repossession Agent in San Francisco, California. This position values experience in military or security roles, focusing on safe and compliant property recovery. Role overview This role centers on managing the repossession process with care and attention to detail. Strong analytical thinking and a sense of responsibility are important for success. Previous military or security background is considered an asset, helping to maintain safety and compliance throughout each assignment. What you will do Carry out repossession activities while upholding safety and legal standards Apply analytical skills to assess situations and make sound decisions on site Draw on security or military experience to handle sensitive scenarios with professionalism Requirements Background in military or security roles Strong analytical abilities Reliable and responsible approach to work

Join Laurel as a Staff Data Engineer, where you will play a pivotal role in designing and implementing scalable data solutions. You will collaborate with cross-functional teams to optimize data architecture and enhance data analytics capabilities.

Join our innovative team at alljoined as a Data Infrastructure Engineer where you will play a pivotal role in shaping our data architecture and ensuring the reliability and efficiency of our data systems. You will collaborate with cross-functional teams to design and implement scalable data solutions that empower data-driven decision-making.

About Us:At Notion, we empower teams to create stunning tools tailored for their unique workflows. In a digital landscape filled with countless applications and tabs, Notion stands out as the singular platform where teams can consolidate their efforts—effortlessly merging documents, notes, projects, calendars, and emails, all enhanced with AI to expedite processes and uncover insights. Our diverse user base, ranging from individuals to giants like Toyota, Figma, and OpenAI, appreciates Notion for its versatility, efficiency, and cost-saving capabilities.Collaboration is at the heart of Notion's culture. To foster this, all team members are required to work from our offices on Mondays, Tuesdays, and Thursdays, which we refer to as Anchor Days. Certain teams may have additional in-office requirements.About The Role:As Notion experiences rapid growth, we are on the lookout for skilled Data Engineers to join our dynamic team. Your role will involve constructing foundational datasets and pipelines that bolster our go-to-market initiatives. You will play a pivotal role in integrating our product and business systems, establishing robust processes that drive our success. If you have a passion for analytics, data modeling, and unraveling intricate data challenges, we would love to have you on board.What You'll Accomplish:Develop core datasets that serve as the authoritative sources for Notion’s marketing and sales reporting, ensuring seamless data flow between business systems and our product.Collaborate closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence, and Data Science teams to fulfill critical reporting and analysis needs.Design, implement, and oversee pipelines that address current demands while being capable of scaling alongside our expanding data landscape.Promote accessibility to high-quality data across go-to-market teams, staff, and the organization at large.Required Qualifications:Minimum of 3 years of experience as a Data Engineer, focusing on building core datasets and supporting various business verticals, particularly in high-data-volume product and business environments. A strong enthusiasm for analytics, data models, and solving complex data challenges is essential.Proven experience working with Marketing and Sales datasets within a SaaS context, including integrations with business systems such as Salesforce, Netsuite, Marketo, and Zendesk.Self-motivated individual who proactively gathers and synthesizes impactful business needs, designing and implementing effective data solutions.

Embrace the Future of Commerce with Whatnot!Whatnot stands as the premier live shopping platform across North America and Europe, dedicated to enabling users to buy, sell, and discover their passions. We are transforming e-commerce by merging community engagement, shopping, and entertainment into a unique experience crafted just for you. Operating as a remote co-located team, we thrive on innovation and are deeply rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards and comic books, our live auctions offer a diverse range of products for everyone.And we’re just getting started! As one of the fastest growing marketplaces, we are on the lookout for innovative, forward-thinking problem solvers to join our expanding team. Stay updated with the latest from Whatnot through our news and engineering blogs and help us empower individuals to turn their passions into thriving businesses while fostering community through commerce. Role OverviewData plays a pivotal role in Whatnot’s mission to unite people through commerce.As our newest Data Engineer, you will design and enhance the systems that facilitate data-driven decision-making across the organization. You will collaborate directly with stakeholders from various departments, including product, sales, marketing, finance, and trust teams, to create resilient data architectures, develop robust pipelines, and establish foundational data products that drive Whatnot’s growth, both internally and externally.On any given day, your responsibilities may include:End-to-End Data Architecture Ownership. Define our approach to capturing, modeling, and serving critical business data, implementing solutions in production. You will make key architectural decisions regarding storage formats, computing patterns, and SLAs that balance cost, scalability, and consistency.Development of Mission-Critical Pipelines. Design and maintain streaming and batch data workflows that handle high-volume events across various domains—user engagement, transactions, experimentation, marketing performance, and operational telemetry—while ensuring low latency, completeness, and accuracy.Canonical Model Design and Implementation. Develop domain-oriented data models that serve as the backbone for our analytics and reporting needs.