Senior Google Cloud Engineer

Why Join Valtech?At Valtech, we are at the forefront of experience innovation, serving as a trusted partner to some of the world's most iconic brands. We pride ourselves on providing our team with abundant growth opportunities, a culture driven by core values, and international career prospects that let you influence the future of experience.The OpportunityAs a Senior Google Cloud Data Engineer, you will thrive in an environment that fosters continuous learning, impactful contributions, and professional development. You will be instrumental in pioneering digital solutions, challenging traditional paradigms, and creating next-generation customer experiences that revolutionize industries.

About the Role Sigma Computing is seeking a Senior Security Engineer II focused on Cloud & Data Security to help safeguard our large-scale, cloud-native SaaS platform. This position centers on engineering: building security solutions, not just operating existing tools. The role calls for a subject matter expert in cloud security architecture. Collaboration with Engineering, Security, and Product teams is key, as is designing scalable controls that support business growth. Responsibilities include creating secure architectures, integrating controls into infrastructure-as-code, and setting up automated guardrails so teams can move quickly without waiting for manual security sign-offs. This is a hands-on position for someone who thrives in complex cloud environments, values automation, and knows how to scale security for a growing SaaS company. What You Will Do Architectural Leadership: Work closely with infrastructure and engineering teams to embed security into development workflows. Lead technical discussions that shape security strategy and initiatives. Multi-Cloud Engineering: Design, implement, and refine Sigma’s cloud security across AWS, GCP, and Azure, using deep architectural expertise. Threat Modeling & Incident Response: Conduct threat modeling for cloud environments and handle incident response, including investigation and remediation of malicious activity. Identity & Access Management: Develop strategies for IAM and privileged access (RBAC/ABAC, federation, least privilege, cross-account access). Remove standing privileges and long-lived credentials, and promote zero-trust and privileged access controls across IaaS and SaaS. Cloud Data Security Controls: Implement data classification, encryption/KMS, masking/tokenization, access governance, retention and deletion policies, and reduce exfiltration risks across APIs and data pipelines. Automated Remediation Workflows: Build automated responses for recurring cloud misconfigurations, drift, and policy violations to improve operational efficiency and response times. Security Stack Management: Deploy and manage cloud-native services, including CSPM, CNAPP, DSPM, SIEM, DLP, WAF, Kubernetes, and container security tools. Network Defense: Evaluate and implement zero-trust network security measures. Location: New York City, NY

Role Overview:Join our dynamic team at Hudson Manpower as a Senior Cloud Data Engineer, where you will leverage your extensive experience to design, build, and maintain cutting-edge data platforms. With 10–12 years of expertise, you will play a pivotal role in creating robust data pipelines and facilitating advanced analytics using leading cloud and data technologies.Key Responsibilities:Architect, develop, and maintain scalable data pipelines utilizing DatabricksOptimize and manage data processing workflows within the Azure cloud environmentOversee MLflow implementation for the complete machine learning lifecycleDesign and manage data warehousing solutions based on Snowflake architectureEnsure data quality, governance, security, and performance standards are metEnhance data ingestion, transformation, and storage processes for improved efficiencyDiagnose and resolve data-related issues across various systemsCollaborate effectively with data scientists, analysts, and engineering teams

Job SummaryHudson Manpower is seeking a talented and experienced Cloud Data Engineer to join our dynamic team in New York City. In this role, you will be responsible for designing, building, and maintaining scalable data infrastructure that drives our data analytics capabilities. The ideal candidate will possess significant expertise in modern data platforms, cloud technologies, and data pipeline development.Key ResponsibilitiesDesign, develop, and maintain robust and efficient data pipelines.Build and optimize data infrastructure on leading cloud platforms.Utilize Databricks for advanced data processing and analytics.Implement and manage machine learning workflows with MLflow.Integrate comprehensive data solutions with Snowflake.Ensure the highest standards of data quality, reliability, and performance.Collaborate with cross-functional teams to develop data-driven solutions that meet business objectives.

Veeva Systems is a pioneering organization focused on revolutionizing the life sciences industry. We are committed to helping life sciences companies accelerate the process of bringing innovative therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue in our last fiscal year, with promising growth opportunities on the horizon.Our core values drive our mission: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by transitioning to a public benefit corporation (PBC), which legally obliges us to balance the interests of our customers, employees, society, and investors.As a Work Anywhere organization, we prioritize your flexibility to work from home or in the office, empowering you to thrive in your ideal work environment.Join us in transforming the life sciences sector and making a meaningful impact on our customers, employees, and communities.Role OverviewAs the Senior Director of Solution Consulting at Veeva, you will play a critical role in promoting the adoption and growth of Veeva Data Cloud through strategic pre-sales engagement. Veeva Data Cloud serves as the modern data foundation for the Biopharma sector, addressing the challenges posed by fragmented systems with a comprehensive suite of commercial data products: reference data, deep data, performance data, and access data. This hybrid position blends substantial technical data expertise with a consultative, client-facing approach. You will engage directly with customers in pre-sales scenarios, enhancing brand awareness, emphasizing product differentiation, and guiding customer data evaluations. Your role will also involve demonstrating how our products can deliver value by identifying new patients and healthcare providers, boosting top-line revenue, and enhancing overall efficiency. Utilizing your technical proficiency and industry experience, you will educate potential customers on the application of our products for key use cases, such as how:1. Compass Patient enhances the patient journey2. Compass Prescriber can be utilized for effective segmentation, targeting, and incentive compensation3. Compass National provides comprehensive insights for strategic decision-making

Role Overview Veeva Systems seeks a Senior Director of Compass and Data Cloud Marketing based in New York City. This leader shapes marketing strategy for cloud-based data products, guiding programs that support growth and strengthen Veeva’s market presence. What You Will Do Direct the planning and execution of marketing initiatives for Compass and Data Cloud solutions Develop campaigns that connect with a broad client base Ensure marketing programs support business objectives and reinforce Veeva’s industry position Location New York, New York City

Join our dynamic team at Cayuse Talent Solutions as a Senior Azure Data Engineer, where you will leverage your extensive experience to develop robust and highly scalable Data Platforms for our clients.Key ResponsibilitiesLead Azure Data Engineering initiatives for client projects.Offer expert guidance on Azure data services to enhance project outcomes.Design and model efficient data schemas using Azure Synapse.Establish a secure, elastic, and high-performance Azure environment.Ensure compliance with data governance and access control standards.Analyze business requirements and break them down for further data analysis.Architect performant and scalable Data Platforms tailored to client needs.Facilitate data workshops to align solutions with customer business objectives.Act as a Trusted Advisor, fostering strong customer relationships.Apply various architectural patterns in Big Data to solve complex challenges.Thrive in an agile work environment, continuously seeking optimization opportunities for our Data Platforms.Clearly articulate problems and propose effective solutions.Engage in presales activities to demonstrate our capabilities and value proposition.

At January, we are revolutionizing the credit landscape. Our innovative, data-driven platform is designed to restore trust, achieve tangible results, and empower millions to progress toward a brighter financial future, while also humanizing the consumer finance experience. By harnessing data intelligence, we strive to build trust and deliver improved outcomes for both consumers and creditors.Our mission is straightforward: to broaden access to credit while equipping consumers with the tools they need to attain long-lasting stability and control over their financial lives. We initiated our journey by creating a robust foundation for creditors to engage and support borrowers throughout the entire debt lifecycle. By merging exceptional performance with unique consumer satisfaction and strict compliance, we have perfected outsourced collections. Our journey is just beginning, and together we are forging a financial system where trust and opportunity catalyze enduring change in people's lives.About the RoleAs the pioneering Senior Data Engineer at January, you will redefine our approach to data utilization in expanding access to credit—not merely by fixing existing issues but by unlocking new possibilities. You will take complete ownership of our modern data stack, transforming it from a system supported sporadically by analysts and engineers into a premier platform that anticipates and facilitates our most ambitious data initiatives. You will architect the data infrastructure that empowers millions to achieve financial stability, ensuring that insights flow seamlessly from production to decision-makers. By establishing data engineering as a core discipline at January, you will allow our analysts to focus on insights while you construct the scalable foundation that propels our next growth phase.What You'll DoOwn and enhance our comprehensive data platform — transforming our Snowflake warehouse from analyst-managed to engineer-optimized while standardizing data models for customer reporting, operational dashboards, and machine learning features.Create robust, self-healing data pipelines — designing ETL processes that scale automatically with data volume, implementing monitoring systems that preemptively identify issues, and optimizing costs without compromising performance.Facilitate accessible data utilization — developing intuitive models that empower PMs, analysts, and operations teams to independently find answers while adhering to security and compliance standards.Integrate engineering with analytics — establishing feedback mechanisms between production systems and analytical demands, ensuring schema changes do not disrupt downstream dependencies, and influencing how new features generate data.Lead data initiatives — championing projects that enhance our data capabilities, contributing to strategic data-driven decisions, and mentoring junior engineers.

Join DoubleVerify as a Senior Data Engineer I, where you'll play a pivotal role in transforming the way our clients access and analyze data within our innovative platforms. In this position, you will leverage your expertise to build scalable data pipelines, ensuring the integrity and accessibility of our data assets.Your responsibilities will include collaborating with cross-functional teams to design, implement, and maintain data solutions that drive business decisions. This role demands strong analytical skills and a passion for problem-solving in a dynamic environment.

About GreenboardAt Greenboard, we are pioneering the future of financial compliance through our innovative, AI-driven compliance operating system. Serving Registered Investment Advisors (RIAs), fintech companies, private funds, and hedge funds, we eliminate the disarray of outdated tools and enhance automation to a level previously unseen. By consolidating data and workflows, we empower firms to mitigate regulatory risks, streamline their technology infrastructure, modernize compliance operations, and achieve significant cost savings.Our founding team comprises engineers who have successfully scaled products at industry giants such as Amazon and Google, as well as at several unicorn startups. Backed by renowned investors including Y Combinator, General Catalyst, and Base10, we have secured over $20 million in funding to date. Leading financial institutions trust Greenboard, and we are rapidly expanding our footprint in the industry.About the RoleWe are in search of a Senior Data Engineer to play a pivotal role in constructing and scaling our data platform as we continue to grow.This high-impact individual contributor position focuses on optimizing the flow of data across our systems—from production services to analytics and customer-facing functionalities. You will collaborate across our technology stack (AWS, internal services, and application data) to ensure that data is reliable, well-structured, and accessible throughout the organization.Ideal candidates will thrive in ambiguous environments, enjoy building foundational systems, and work closely with engineering, product, and business teams.What You’ll DoDevelop and Manage Data SystemsDesign, build, and maintain robust data pipelines that source data from application systems, APIs, and internal services.Create workflows for batch processing and near real-time data handling.Utilize AWS infrastructure to oversee data movement, storage, and transformation processes.Model and Deliver DataCraft and uphold clean, well-organized datasets for analytics, internal tools, and product applications.Facilitate both analytical workflows and operational/product-related data requirements.Guarantee that data is comprehensible and dependable for downstream consumers.Enhance Product & Customer DataEstablish and sustain pipelines that support customer-facing features (e.g., reporting, exports, in-product data).Collaborate with product and engineering teams to seamlessly integrate data into the product experience.

About HoneHone is revolutionizing healthcare with our innovative online medical clinic that focuses on enhancing longevity and empowering individuals to take charge of their health. By leveraging advanced scientific research, we help both men and women unlock their full potential. Our team is at the core of our mission, driving our success through our commitment to our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization since our inception, Hone continues to embrace a remote-first culture.Our Ideal CandidateWe are seeking a mission-driven Senior Data Engineer who is a proactive multi-tasker dedicated to making a meaningful impact. The ideal candidate thrives in a dynamic, fast-paced environment and is eager to tackle challenges with enthusiasm. They possess a strong collaborative spirit and excel in both independent and team-oriented tasks, fostering open communication. With a commitment to learning and development, they exhibit humble leadership while driving initiatives to help others live longer, healthier lives.The RoleAs a Senior Data Engineer at Hone, you will report directly to the Senior Director of Data, Analytics, and Machine Learning. Your primary responsibility will be to develop and maintain the pipelines and infrastructure that facilitate analytics, reporting, and machine learning projects. Additionally, you will play a key role in constructing a longevity ontology knowledge graph. This position is perfect for someone with over 5 years of experience looking to expand their influence and technical expertise within a collaborative team.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Developing, maintaining, and optimizing reliable data pipelines using SQL, dbt, and Python.Building and managing an ontology graph database with CosmosDB and Gremlin.Leveraging agentic AI to streamline and automate pipeline development.Working alongside Analytics Engineers, Data Scientists, Analysts, and Software Engineers to transform and structure data to fulfill business objectives.

Veeva Systems is a mission-driven organization and a leader in industry cloud solutions, dedicated to helping life sciences companies deliver therapies to patients more efficiently. As one of the fastest-growing SaaS firms ever, we achieved over $2 billion in revenue last year and have significant growth potential on the horizon.At Veeva, our core values include: Doing the Right Thing, Ensuring Customer Success, Fostering Employee Success, and Emphasizing Speed. We made history in 2021 when we became a public benefit corporation (PBC), which legally commits us to balance the needs of customers, employees, society, and investors.We support a flexible work environment as a Work Anywhere company, allowing you to choose between working from home or in the office to ensure you thrive in your optimal setting.Join us in transforming the life sciences industry with a commitment to making a positive impact on our customers, employees, and the communities we serve.The RoleThe Veeva Data Cloud Basics team is in search of a talented Account Partner to spearhead Data Cloud sales within our emerging biotech sector, which focuses on small and pre-commercial Life Sciences companies. In this role, you will be tasked with understanding customer goals as they prepare for their initial commercial launches in the U.S., while effectively showcasing the value that Veeva Data Cloud solutions can provide.This is a uniquely exciting opportunity at Veeva that demands a combination of experience in selling data solutions to Life Sciences and a passion for accelerating a new business line within a well-established industry leader. Success in this position requires initiative, tenacity, and a collaborative approach that prioritizes team success over individual accomplishments. You are a quick learner, humble, driven, and intelligent, with a persistent determination to achieve results. You are also solution-oriented, adept at overcoming challenges and addressing business needs. This position is remote.

About EliseAIAt EliseAI, we are dedicated to transforming the vital sectors of housing and healthcare. We believe that everyone deserves access to safe housing and quality healthcare, yet these essentials are often challenging to obtain. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, reduce costs, and improve user experiences for all stakeholders.Housing: We streamline the rental process, allowing tenants to easily tour apartments, sign leases, submit maintenance requests, and maintain communication with property management—all from one platform.Healthcare: We simplify appointment scheduling, intake form completion, and patient-provider communication, enabling a greater focus on health rather than administrative tasks.With EliseAI, organizations can minimize manual labor, enhance accessibility, and provide a cohesive experience across essential services. Recently, we secured a $250 million Series E funding led by Andreessen Horowitz to accelerate our mission.About The RoleAs a Senior Data Engineer, you will play a pivotal role in our Engineering team, steering our commitment to leveraging data as a strategic asset. Collaborating closely with product, operations, and analytics teams, you will be responsible for developing the data infrastructure that drives our decision-making processes. Your contributions will significantly influence product development, operational optimization, and customer value delivery.Key ResponsibilitiesWe are on the lookout for a talented and experienced Senior Data Engineer to join our team. The ideal candidate will take full ownership of our data pipeline, playing a crucial role in the design, implementation, and maintenance of our data infrastructure and ETL processes. In this role, you will lead the engineering team to ensure that all coding processes yield meaningful data stored efficiently. This data pipeline is essential for client-facing reporting and internal strategic decision-making.Core ObjectivesConstruct and uphold high-quality data solutions and extensive data pipelines capable of processing large volumes of data.Collaborate with various teams to understand data requirements and deliver robust solutions that meet business needs.Optimize data storage and retrieval processes for maximum efficiency and performance.

Role Overview adonis is hiring a Senior Software Engineer focused on the Data Platform in New York City. This role centers on building and refining data solutions that help the company serve clients better. The position calls for hands-on leadership in developing and optimizing data systems. What You Will Do Lead the design and improvement of data architectures for the platform Collaborate with teams across the company to deliver reliable data solutions Implement analytics tools and processes that support business insights and decision-making Collaboration This role works closely with colleagues from engineering, analytics, and other departments to create and maintain data systems that meet business needs.

At Veeva Systems, we are committed to transforming the life sciences sector through innovative cloud solutions, enabling companies to deliver therapies to patients more swiftly. As a leading SaaS provider, we achieved over $2 billion in revenue last fiscal year and continue to have significant growth opportunities.Our core values – Do the Right Thing, Customer Success, Employee Success, and Speed – guide our mission. Notably, we made history in 2021 by becoming a public benefit corporation, dedicated to balancing the interests of our customers, employees, and society.As a Work Anywhere company, we promote flexibility in the workplace, allowing you to work from home or in the office, depending on what suits you best.Join us in revolutionizing the life sciences industry and making a positive impact on our clients, employees, and communities.Role OverviewIn the role of Manager of Data Cloud Solution Consulting, you will play a pivotal part in driving the adoption and expansion of Veeva Data Cloud through pre-sales initiatives. This modern data infrastructure is tailored for Biopharma and addresses the challenges posed by disjointed systems, featuring comprehensive commercial data products including reference data, deep data, performance data, and access data.This hybrid position merges technical data expertise with a consultative, client-facing approach. You will engage with customers in pre-sales to bolster brand visibility, emphasize product differentiation, and facilitate customer data evaluations. Furthermore, you will illustrate how our products can create value for clients by identifying new patients and healthcare providers, enhancing revenue, and improving operational efficiency.Utilizing your technical acumen and industry knowledge, you will educate potential clients on how our Compass and HCP 360 offerings support critical use cases, including:1. Compass Patient enhances the patient journey.2. Compass Prescriber aids in segmentation, targeting, and incentive compensation.3. Compass National provides precise forecasting capabilities.

About the RoleWe are looking for a talented Senior Data Architect / Application Engineer to become a pivotal part of our dynamic team. In this role, you will design, develop, and maintain robust data platforms and application infrastructure. Your expertise will drive innovative data solutions while ensuring the reliability, security, and performance of our platforms.Location: New York City, NY (Hybrid – 3 days onsite)Interview Process: In-person interview required in NYC.Work Authorization: Only W2 candidates will be considered. C2C is allowed only if the candidate is a US Citizen or Green Card holder with their own corporation.Key ResponsibilitiesLead architecture and technical design discussions leveraging industry best practices and cutting-edge technologies.Support production operations and troubleshoot complex issues within the Credit Risk application platform.Design and implement batch and ad-hoc data pipelines utilizing Medallion Lakehouse architecture on modern cloud platforms, primarily Databricks.Build and maintain data ingestion pipelines from upstream systems into object storage (e.g., S3, ADLS) using formats like Parquet, including partitioning, z-ordering, and schema evolution.Integrate with external XVA / risk engines to expand analytical capabilities.

MotherDuck builds a cloud-hosted analytics platform designed to make data warehousing simpler and more enjoyable for developers and data professionals. The team collaborates with the creators of DuckDB, combining local development with cloud features to streamline both software and data engineering workflows. The company values empathy and innovation, drawing on deep experience in the data industry. Role overview The Senior Customer Engineer is a key technical partner for MotherDuck’s cloud-native analytics platform, powered by DuckDB. This hybrid position is based in New York City, with the option to work from the Seattle office. The role is ideal for someone with a data engineering background who enjoys working directly with customers to address real-world data challenges. Acting as the main technical contact for the sales team, the Senior Customer Engineer demonstrates how MotherDuck’s solutions help users get more value from their data. What you will do Work alongside Account Executives to manage the technical side of the sales process, from initial discovery through closing deals. Design effective data solutions using DuckDB and modern data stack tools, focusing on simplicity and strong performance. Create and deliver custom demos and proof-of-concept projects tailored to customer needs. Translate business requirements into scalable, cost-effective technical solutions that enhance user experience. Collaborate with Product and Engineering teams to share customer feedback and influence product direction. Serve as a trusted technical advisor, guiding customers from pilot projects through to production deployments. Develop and implement AI-driven automations to increase efficiency and allow for more direct customer engagement.

Join Our Team as a Senior Data Engineer!Are you ready to take your career to the next level? FanDuel is seeking a Senior Data Engineer who will be instrumental in designing and building scalable, reliable, and high-performance data solutions that fuel analytics, machine learning, and business operations. As a hands-on contributor, you will play a significant role in establishing the core technical foundation of our data ecosystem.You will collaborate with a diverse team of engineers, analysts, product managers, and data scientists to create data pipelines and platforms that lead to impactful business results. The ideal candidate possesses excellent problem-solving abilities, is a strong team player, and brings both technical expertise and a collaborative spirit to every challenge.If you're excited about the prospect of working in a dynamic environment and tackling innovative challenges, we want to hear from you!Key Responsibilities:Build & Maintain Data Infrastructure: Design, develop, and maintain scalable ETL/ELT pipelines to support various data products and operational systems. Work with large-scale, complex datasets ensuring data cleanliness, proper modeling, and accessibility across the organization.Deliver High-Quality, Reusable Solutions: Create modular, reusable data models and assets utilizing tools like Spark, dbt, or similar frameworks. Collaborate with stakeholders to transform business needs into reliable, production-ready data solutions while ensuring data quality and consistency.Contribute to Engineering Excellence: Advocate for software engineering best practices, including testing, version control, documentation, and code reviews. Engage in technical design discussions and architecture reviews, helping to evolve our data platform for improved performance and scalability.Collaborate & Communicate: Partner closely with data scientists, analysts, and product managers to ensure alignment and drive solutions that meet business objectives.

Hybrid work environment (3 days in the office, flexible scheduling).About UsAt DoubleVerify, we lead the industry in providing independent marketing measurement software, data, and analytics that validate the quality and efficacy of digital media for major brands and media platforms around the globe. Our solutions ensure media transparency and accountability, delivering the highest quality impressions for optimal advertising performance. Since our inception in 2008, we have empowered countless Fortune 500 companies to maximize their media investments through cutting-edge solutions across the digital landscape. Discover more at www.doubleverify.com.Role OverviewAs a Senior Data Platforms Engineer on our Data Platforms team, you will play a crucial role in enhancing the development experience for both engineering and product teams by creating robust data platforms. You will be responsible for shaping and optimizing our core data services, with a particular emphasis on data warehouse technologies and platforms that facilitate seamless data movement and governance.Our Mission: To enable secure, self-service data at scale across DoubleVerify via a governed platform.Your Responsibilities:As a Senior Data Platforms Engineer, you will oversee the entire lifecycle of essential data platforms, focusing on technologies such as Snowflake, MongoDB, SQL Server, BigQuery, and CloudSQL, as well as data movement tools like Airbyte. Your goal will be to ensure their reliability, scalability, and alignment with our strategic objectives while empowering teams to handle data independently.