Senior Cloud Data Engineer at Hudson Manpower | New York City

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

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

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.

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.

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.

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.

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.

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.

Mesh builds infrastructure to make crypto payments practical for everyday use. The company integrates an orchestration engine with a consumer app, aiming to unlock liquidity and support dependable transactions with tokenized assets. Backed by investors such as PayPal Ventures, Paradigm, and Galaxy Ventures, Mesh works to expand the reach of digital assets in global commerce. Role overview This Azure Cloud Engineer position centers on designing and maintaining secure, scalable infrastructure within Azure. The role requires a strong background in cloud security and hands-on experience with DevOps practices. Building automation to support high availability is a key focus. What you will do Develop and maintain secure Azure cloud environments Automate processes to ensure reliability and scalability Act as a bridge between security and operations teams Lead efforts to secure and optimize systems Implement observability, monitoring, and incident management solutions Requirements Strong experience with Azure cloud platforms Solid foundation in cloud security principles Proficiency with DevOps methodologies This role is based in New York City, NY.

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.

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.

Role overview Garner Health is hiring a Senior Data Engineer in New York City. This role focuses on building and maintaining the data infrastructure that powers decision-making across the company. The work supports Garner Health’s mission to improve healthcare outcomes. What you will do Design, implement, and maintain data pipelines and systems Collaborate with teams across the company to ensure data supports business goals Help shape the data architecture to enable reliable analytics and reporting

Rocket Money supports millions of people in making smarter financial decisions. The platform provides members with clear financial insights and tools designed to save both time and money. Team focus The Data Platform team builds and maintains the core systems behind Rocket Money’s data-driven products. This group develops and supports infrastructure for collecting, processing, and delivering data to teams across analytics, machine learning, and software engineering. Engineers here work closely with other groups to ensure accurate data capture, resilient pipelines, and reliable self-service access for stakeholders. As the team grows, there is a shift toward formalizing standards and practices that will scale. Current tools include dbt, BigQuery, and Terraform, but the emphasis is on shaping architecture and defining how Rocket Money manages data for the future. Autonomy is high, but collaboration remains central as the platform evolves. What you will do Own the data platform infrastructure from end to end, focusing on security, usability, and performance. Collaborate with analytics, machine learning, and software engineering teams to support their data needs. Help guide decisions on data tooling, pipeline design, and governance. Create user-friendly interfaces that promote best practices across the team. Work proactively to improve data reliability by identifying and addressing issues at their source. Who succeeds here This role suits engineers who bring structure to ambiguity, balance stakeholder needs, and manage technical debt. The team values those who make informed choices, take ownership, and contribute to a collaborative environment. Locations Open to candidates in San Francisco, CA; Washington, D.C.; New York City, NY; Detroit, MI; Phoenix, AZ; Miami, FL; and Denver, CO.

Preferred location is NYC, but we welcome candidates from the East CoastRole OverviewThe Associate Distinguished Engineer, functioning as the technical lead for our AI Adoption initiative, is responsible for architecting and governing the AI Landing Zone. This pivotal role involves overseeing integrations, ensuring adherence to security and compliance standards, and providing technical guidance on all AI use cases and platform components. The individual will ensure the scalability, security, and interoperability of the AI platform while ensuring alignment with IT standards to support both pilot implementation and long-term institutionalization.Key ResponsibilitiesAI Platform & Landing Zone ArchitectureDesign and architect the AI Landing Zone, encompassing Azure OpenAI, Azure AI Foundry, Power Platform, Microsoft Fabric, and Microsoft Copilot services.Guarantee the platform's security and compliance while ensuring it is scalable across various environments including academic, administrative, research, and healthcare.Establish governance protocols, identity/SSO integration, and infrastructure requirements.Security, Compliance & Responsible AI ControlsImplement architectural controls that support FERPA, accessibility (WCAG/508), privacy, and institutional policy needs.Ensure solutions incorporate responsible AI evaluations, fairness checks, and observability.Integration & Data ArchitectureDesign integration methodologies with core client systems (SIS, LMS, SSO, APIs, data sources).Collaborate with the Data/Technology Lead to outline secure data pipelines, connectors, and access patterns.Ensure interoperability and reliability across departments and technical landscapes.Use Case Technical Design & FeasibilityAssess technology options (Azure OpenAI, Copilot, Power Platform, Fabric) for each use case.Define technical requirements, constraints, and architectural components for varying complexity use cases.Provide technical support to developers and ML engineers throughout the design, build, and deployment phases.Platform Maturity, Monitoring & MLOpsEstablish CI/CD pipelines, monitoring dashboards, cost transparency measures, and lifecycle management processes.Set performance, security, reliability, and operational readiness standards.Facilitate the evolution of the platform from initial pilots to scalable enterprise services.Technical Leadership & Quality AssuranceReview prototypes, solution designs, integrations, and deployments for technical completeness and architectural alignment.Ensure consistency in implementation across teams and phases.Provide mentorship and guidance to development and engineering teams.

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

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.

Join Veeam Software as a Senior Sales Engineer specializing in Data & AI Security. In this pivotal role, you will leverage your extensive technical expertise to support our sales team, ensuring the successful delivery of data protection solutions to our clients. Your ability to communicate complex technical concepts in an accessible manner will be crucial as you engage with customers and stakeholders.