Senior Data Engineer at FanDuel | New York City

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 collabo…

At HackerRank, we empower industry leaders like NVIDIA, Amazon, and Microsoft to recruit and enhance the skills of the next generation of developers based on their talents rather than their backgrounds. Trusted by over 2,500 pioneering companies worldwide, our platform is designed to cultivate robust engineering teams equipped for future challenges.As we embrace a new era where humans and AI collaborate, the criteria for strong technical talent evolves. Our mission is to provide innovative solutions for identifying and nurturing next-generation skills.At HackerRank, our team is passionate about their impact, paying meticulous attention to detail, ensuring our customers achieve remarkable success with products they genuinely appreciate. We prioritize urgency and believe that exceptional results stem from maintaining high standards.This hybrid role is based in New York City, but we also welcome candidates who prefer to work from our Santa Clara office.

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.

Role Overview DoubleVerify is hiring a Senior Data Scientist I for its Rockerbox team at the NYC Global HQ. This role focuses on building models and algorithms to strengthen our products and help clients achieve better results. Work with large datasets and apply statistical methods to uncover insights that shape our data strategy. What You Will Do Analyze and interpret large, complex datasets to inform product development and client solutions. Develop predictive models and algorithms that support digital advertising quality and effectiveness. Collaborate with teams across the company to solve challenging problems and deliver actionable insights. About DoubleVerify DoubleVerify works to ensure digital advertising delivers real value through data integrity and measurement. The Rockerbox team plays a key role in advancing these goals.

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.

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.

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.

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 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.

About UsWagmo is an innovative pet health company dedicated to empowering pet owners by providing exceptional pet benefits through employers. We focus on everything from routine care to unexpected emergencies, delivering tech-enabled solutions that prioritize value and flexibility, so our pet parents can confidently provide the best care for their furry friends.Our ValuesAt Wagmo, we tackle complex challenges while enjoying the company of dogs. We emphasize authenticity, efficiency, and teamwork, valuing performance over hierarchy. We believe in fair compensation and maintaining a light-hearted approach to our work culture. Our core values guide our interactions and decisions, and we ensure that they are an integral part of our hiring process.Position OverviewWe are on the lookout for a Senior Data Engineer who will play a key role in building and scaling the data infrastructure that drives Wagmo's expansion. In this role, you will design and manage robust data pipelines, architect our data warehouse, and collaborate with various teams including Analytics, Finance, Product, Marketing, and Engineering to guarantee clean and reliable data flows throughout the organization. You should possess hands-on experience with Python, SQL, and modern data stack tools, and prioritize data quality and governance alongside swift project delivery.Your responsibilities will include translating complex business challenges into sustainable technical solutions, mentoring emerging data talent, and establishing a solid data foundation that supports Wagmo's transition from startup to scale.Technology Stack: BigQuery · dbt · Fivetran · Python · GCP · GitHub · Tableau · Slack · Notion · ClaudeKey ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT pipelines and data warehouse architecture using BigQuery. Own the infrastructure from end-to-end, continuously enhancing it as the business evolves.Define and implement clean, well-tested data models and dbt transformations, adhering to strong CI/CD, code review, and documentation standards.Ensure data integrity and reliability across all systems through rigorous validation, monitoring, anomaly detection, and comprehensive data contracts and lineage documentation.

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.

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.

Company & Mission Overview:Our mission: We exist to bridge the gap between climate change and financial risk.Who we are: First Street stands as the benchmark for Climate Risk Financial Modeling. Over the last decade, we have transformed climate risk into actionable financial insights for investors, businesses, communities, and property owners globally. With support from leading firms like Innovation Endeavors, Galvanize, General Catalyst, and more, our team has successfully raised millions to revolutionize the global economic perspective on climate change.Explore our culture here and discover what Climate Risk Financial Modeling entails here.Our data: We have gathered top climate scientists and economists to create transparent, peer-reviewed methodologies for assessing past, present, and future climate risks associated with various properties and asset classes, including real estate, infrastructure, and corporate entities. Utilizing physics-based deterministic models, we forecast the probability of floods, wildfires, hurricanes, and other hazards worldwide, along with their potential damages and downtimes.Our customers: We strive to integrate climate risk data into every financial decision made today. Our clientele includes:Institutional investors like Norges Bank Investment Management and Blackstone.Banking institutions such as Bank of America and Fifth Third.Government entities including Fannie Mae and the US State of Connecticut.Millions of everyday users on platforms like Zillow, Redfin, Realtor.com, Homes.com, and beyond.Join us and leverage your skills to make a positive impact on the world.Team & Role Overview:We are in search of a passionate Senior Data Engineer to become part of our dynamic team. The ideal candidate will possess a strong commitment to environmental sustainability, a deep appreciation for information technology, and an understanding of the critical role data plays in making informed decisions.