At Authentic Insurance, we empower insurance brokers to develop exceptional insurance products tailored to the needs of their clients. Our innovative technology platform and comprehensive support enable brokers to create custom insurance solutions for specific industries and customer segments. Essentially, we serve as the backbone of these specialized insurance offerings, allowing brokers to provide unique products that set them apart from competitors. This not only enhances their revenue potential but also minimizes the time spent on administrative tasks and paperwork. We take on the complexities of technology, compliance, and partnerships with top-rated insurance carriers, enabling brokers to concentrate on delivering unparalleled service to their clients and expanding their businesses.Key ResponsibilitiesLead the design and execution of data pipelines and infrastructure that fuel underwriting models, claims processing, and operational reporting, overseeing the process from initial problem identification to final delivery.Manage the data warehouse architecture, making informed decisions that optimize analytical performance, meet operational demands, and ensure long-term scalability.Establish technical standards and best practices for data modeling, pipeline development, and data quality across the engineering team.Identify and resolve bottlenecks in the data stack, developing solutions that enhance reliability, reduce latency, and support business growth.Collaborate with engineering, product, and operations teams to understand data requirements and translate them into effectively designed systems.Create monitoring, alerting, and data quality frameworks to proactively identify issues before they affect downstream users.Promote data governance practices, including documentation, lineage tracking, and access controls to meet regulatory and compliance standards.Mentor and guide team members, fostering their technical growth and encouraging a sense of ownership.

At Authentic Insurance, we empower insurance brokers to develop superior insurance products tailored for their clients. Leveraging our cutting-edge technology platform and comprehensive support, brokers can craft customized insurance solutions aimed at specific industries or customer segments. We act as the operational backbone for these specialized insurance offerings, enabling brokers to provide unique products that set them apart from their competitors. This results in increased earnings and reduced administrative burdens, allowing brokers to focus on customer service and business growth. Our expertise encompasses intricate areas such as technology integration, compliance, and partnerships with top-rated insurance carriers.Key ResponsibilitiesDesign and implement robust data pipelines and infrastructure that support underwriting models, claims processing, and operational reporting.Take ownership of data models from inception through transformation to delivery, ensuring high standards of data quality, freshness, and accessibility for internal teams, product features, and external partners.Identify and resolve bottlenecks in existing data workflows, implementing solutions that enhance reliability, reduce latency, and scale with business growth.Develop and maintain data warehouse architecture optimized for both analytical and operational use cases.Collaborate with engineering, product, and operations teams to assess data requirements and translate them into effectively designed pipelines and models.Establish monitoring, alerting, and data quality checks to proactively identify issues before they affect downstream users.Contribute to data governance initiatives, including documentation, lineage tracking, and access management to meet regulatory and compliance standards.

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.

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 Genius Sports, we are pioneering a new era in sports engagement by combining advanced technology with the highest quality live data. Our goal is to create immersive, interactive, and personalized experiences for sports fans around the globe. Learn more about us here. geniussports.com.Position Overview - Senior Software Engineer, Data PlatformWe are seeking a Senior Data Platform Engineer to architect and scale the core systems that underpin our data ecosystem. In this pivotal role, you will lead the design and modernization of our data infrastructure, empowering teams throughout the organization to swiftly, reliably, and securely access and utilize data. You will spearhead significant platform initiatives from inception to production, carefully navigate architectural decisions, and closely collaborate with product teams and cross-functional stakeholders to drive engineering strategy.This role is perfect for a technically adept leader with extensive experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations. A strong passion for mentorship, technical excellence, and creating systems that yield substantial business impact is essential.Key ResponsibilitiesDesign, construct, and oversee the foundational systems and features of the Data Platform, facilitating internal teams' ability to access and utilize data efficiently and securely.Lead the modernization of our data infrastructure while managing technical complexities and making informed architectural decisions to enhance our foundation and boost organizational productivity.Act as a technical leader for extensive Data Platform initiatives, influencing architectural choices and engineering direction in collaboration with product and cross-functional teams.Mentor junior and mid-level engineers, enhancing their skills and preparing them for greater responsibilities.Stay informed on emerging technologies and industry advancements in data systems and platform development.

About AtriaAtria Health is a pioneering membership-based preventive healthcare practice that provides state-of-the-art primary and specialty care across New York, South Florida, Los Angeles (anticipated in 2026), and globally via 24/7 telemedicine services.Our dedicated team of over 60 leading physicians specializes in delivering proactive, preventive, and precision care tailored to the unique needs of Atria members and their families. We are committed to enhancing both lifespan and healthspan through comprehensive screenings, innovative therapeutics, and customized interventions aimed at disease prevention and early detection.Each member's healthcare journey is guided by a dedicated Chief Medical Officer collaborating with specialists in various fields, including cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more.Through the nonprofit Atria Research Institute and Public Health Institute, we are also focused on expediting the application of medical breakthroughs and broadening access to preventive care for a greater number of individuals.Atria Health is on the lookout for a Senior Software Engineer to join our Data Engineering team. This senior role will be instrumental in advancing our data infrastructure, pipelines, and analytics platforms. You will be responsible for designing and constructing scalable data systems, mentoring fellow engineers, and collaborating with cross-functional product teams (Clinical Experience, Member Experience, and Care Delivery) to ensure the delivery of reliable, high-quality data that informs insights and decision-making. Your contributions will be critical in supporting Atria's long-term research goals and empowering our physicians to extract innovative clinical insights. You will take ownership of intricate data initiatives from conception through execution while establishing best practices that enhance the entire engineering organization.Technology StackLanguages: Python, SQLData Processing: Dagster, dbtInfrastructure: Google Cloud Platform, Terraform, Kubernetes, DockerData Storage: Snowflake, PostgreSQL, MySQLStreaming: Pub/Sub, KafkaCI/CD: GitHub ActionsMonitoring & Observability: Datadog, Grafana, OpenTelemetryKey ResponsibilitiesData Infrastructure & PipelinesDesign, build, and maintain scalable data pipelines and ETL/ELT workflows.Contribute to the ownership and enhancement of our Snowflake data warehouse architecture.Implement data modeling best practices to cater to analytics and reporting requirements.Lead initiatives to enhance data quality, including validation, testing, and monitoring frameworks.Cross-Team CollaborationCollaborate with product engineering teams to create data contracts and integrate data capture into applications.Work closely with Analytics and Business Intelligence teams to comprehend reporting needs and deliver reliable data solutions.

Join our innovative Data Solutions team, where we're developing the core intelligence platform relied upon by prominent public and private sector organizations to investigate threats, monitor risks in real-time, and extract valuable insights from blockchain and related data on a large scale. We prioritize agility and efficiency, seeking engineers who are eager to take ownership, thrive in a fast-paced environment, and are motivated by the mission requirements of our clients to deliver significant real-world impact.In this position, you will:Design and spearhead the development of new platform features that support critical investigations and monitoring processes.Manage services that handle the ingestion, transformation, and delivery of hundreds of terabytes of data, ensuring service-level objectives (SLOs) for latency, freshness, and availability are met.Enhance the scalability, performance, and cost-effectiveness of our data plane and APIs.Elevate quality standards across reliability, security, and compliance for both cloud and on-premises setups.Mentor engineers across various teams and influence the technical strategy beyond your immediate group.Own and improve backend services that drive customer-facing APIs, usage and billing systems, alerting, and data observability.Lead both team and cross-team initiatives from start to finish: discovery, architecture, implementation, rollout, and post-launch analysis.Design event-driven and streaming workflows (e.g., Kafka) with robust data contracts and schema evolution.Promote operational excellence through SLOs, runbooks, on-call duties, incident reviews, and capacity planning for high-query-per-second systems.Collaborate with product, data engineering/science, and security teams to translate customer needs into sustainable systems.We seek candidates who possess:Extensive backend engineering experience in building cloud-hosted services and data pipelines, preferably on AWS or GCP (experience with both is a plus).Strong expertise in APIs, streaming systems, and distributed systems (e.g., microservices on Kubernetes).Proven track record of managing systems at scale (hundreds to thousands of requests per second; terabyte to petabyte data volumes).High level of judgment regarding reliability, security, and cost management, demonstrating measurable improvements.Capability to lead through influence—mentoring, conducting design reviews, and collaborating across teams.

Vendelux is revolutionizing the way organizations discover, evaluate, and leverage the power of events.Event marketers play a crucial role in driving pipeline growth and brand visibility, yet events often remain one of the least optimized and most opaque marketing channels. Vendelux aims to change this dynamic. We offer a comprehensive system of record for event marketing, empowering teams with the data and insights necessary to make informed, strategic decisions.Our AI-driven platform provides exclusive insights across over 250,000 events, enabling high-growth companies to pinpoint where their ideal customers will be, optimize ROI, and transform events into scalable growth channels. Customers frequently describe Vendelux as an essential tool for event marketers. A significant aspect of this success is our expanding network of partnerships with event organizers, who share first-party attendee and sponsorship data in exchange for valuable market insights.Additionally, Vendelux Meetings empowers customers to translate event insights into actionable strategies, leveraging AI to identify high-value attendees and automatically schedule one-on-one meetings with the right prospects at conferences. This process enhances pipeline generation and ensures that every event has a substantial impact.Founded in 2021, Vendelux is a Series A SaaS company backed by prominent investors, including FirstMark, with a recent funding round of $14 million. Our team comprises professionals with experience from notable companies such as Bain, ZoomInfo, Shutterstock, Compass, Forter, Airbnb, and more.We seek a Senior Software Engineer, Data & AI who thrives at the intersection of software engineering, data engineering, and applied AI to construct production-grade systems. You will be responsible for developing, deploying, and scaling features that are integral to our product. This position is ideal for someone who prioritizes impact over method, enjoys tackling data challenges using diverse approaches, and is eager to see their work shape the user experience.Key ResponsibilitiesDesign & Build AI-Powered Features: Architect, implement, and deliver data-driven product features, with a primary focus on addressing customer problems. From prototyping to production, you will apply the appropriate level of technology, whether straightforward heuristics or advanced AI, to create impactful solutions.Build for Production: Create maintainable and scalable systems, including writing clean, testable code, integrating with new and existing data pipelines, and deploying solutions and services within cloud environments.

Join Uncommon Schools as a Senior Software Engineer specializing in AI Solutions. In this role, you will be pivotal in designing and implementing innovative software applications that harness the power of artificial intelligence to enhance educational outcomes. Collaborate with a dynamic team of engineers and educators to create solutions that make a difference in the lives of students and teachers.

Join the City of New York as a Senior Data Engineer, where your expertise in data engineering will drive impactful decisions and enhance city services. You will collaborate with cross-functional teams to design, build, and maintain robust data pipelines, ensuring data integrity and accessibility for analytics.

Are you passionate about leveraging data to inform strategic decision-making? Join Addepar as a Senior Data Solutions Strategist where you will play a pivotal role in shaping our data strategies and solutions. In this role, you will collaborate with cross-functional teams to develop innovative data-driven solutions that enhance our clients' financial insights and operational efficiency.As a Senior Data Solutions Strategist, you will utilize your expertise in data analysis, visualization, and software development to create impactful solutions. You will also guide and mentor junior team members, fostering an environment of continuous learning and improvement.

Pearlyplan is an innovative B2B SaaS and payments provider, boasting a strong product-market fit and a cutting-edge technology stack. With over 2,500 dental offices utilizing our platform, we are on an exciting growth trajectory, consistently delivering features that benefit millions of users.In this pivotal Senior Engineer role, you will take full ownership of Pearlyplan's data platform encompassing architecture, infrastructure, and code development, utilizing production-grade TypeScript and SQL. Your contributions will extend across our broader codebase, including payments, workflows, and CI/CD, where you will act as a reliable mentor and reviewer for the team. From day one, you will be empowered to harness AI tools, adapting with the technology as we transition toward an AI-centric software development lifecycle.If you are a dedicated builder who values ownership and sets a high standard through your work, eager to help shape our strategies in this dynamic landscape of large language models, this is the opportunity for you.Our Development ApproachWe adhere to strict standards of TypeScript, leverage Cloud PostgreSQL, employ Serverless Functions, Terraform, React, GraphQL, Docker, and GitHub Actions, ensuring robust test coverage across unit, integration, and end-to-end tests.Every engineer is encouraged to explore cutting-edge AI tools, such as Claude Code, Cursor, MCP, and Bugbot, as we maintain a realistic perspective on the capabilities of large language models, continuously delivering value. Our specifications are driven by human insight, collaboratively authored with AI, and reviewed meticulously before deployment.Your ResponsibilitiesData Platform OwnershipOversee Pearlyplan's data systems comprehensively, including Postgres warehouse and OLTP infrastructure, ETL pipelines (both bulk and real-time), as well as data products and APIs.Lead the design of overall data architecture, ensuring harmonization across the platform by creating systems, abstractions, and algorithms that consolidate data from various EHRs, payment processors, and external vendors into a scalable and coherent structure.Make informed data modeling decisions with a strong emphasis on performance, observability, and operational excellence.Manage vendor SDK integrations and maintain technical relationships with vendors.Code Quality and Broader Platform ContributionsContribute across the entire application stack (frontend/backend/db) in various domains, including payments, outreach automation, reporting, and internal tooling.Lead by example, guiding both human engineers and AI agents toward excellence through mentorship, thorough documentation, and rigorous code reviews. You will serve as a trusted final reviewer across all areas of the codebase.

About RoxRox is pioneering an AI-driven revenue operating system tailored for contemporary go-to-market teams. With the support of esteemed investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform disjointed CRM workflows into cohesive, intelligent systems. Rox seamlessly integrates data across the GTM stack, employs AI agents to execute real tasks, and equips revenue leaders with a clear, unified view of the factors that truly influence outcomes.As a dynamic Series A startup, we are tackling one of software's most entrenched domains. Our success stems from a blend of rigorous technical expertise and an unwavering commitment to delivering value.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not just a support function; it plays a crucial role in shaping products and defining deals. Positioned at the intersection of Sales, Product, and Engineering, this team is tasked with transforming Rox's technical prowess into tangible customer benefits.Joining our East Coast Solutions Engineering team at this foundational stage, you will collaborate with an incoming Solutions Engineering leader and three existing SEs based in San Francisco. Your contributions will help define the scalability of this function in New York, setting standards for demos, scoping, integration, and sales that will serve as the company's blueprint.About the RoleThis founding-level Solutions Engineer position is ideal for a candidate who is both technically adept and deeply committed to customer satisfaction, with strong opinions on the optimal functioning of sales engineering.You will immerse yourself in real deals, conducting technical discovery, designing integrations, and leading demonstrations that clearly showcase how Rox fits within customer data and GTM ecosystems. Beyond execution, you will identify inefficiencies within the sales process, refining demo flows, enhancing technical narratives, and setting higher standards for future team members.If you thrive on being the technical expert who can clarify complex concepts, this role is tailor-made for you.What You’ll DoQuickly become a product expert, gaining a thorough understanding of Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to conduct impactful technical demos and support deals from initial contact through to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and modern GTM tools.Lead technical discovery sessions that uncover genuine customer challenges — transcending mere stated requirements.Translate technical complexities into clear, actionable insights for customers.

Join Hightouch as a Senior Enterprise Solutions Engineer in New York, where you will play a crucial role in connecting businesses with their data. In this dynamic position, you will collaborate closely with clients to understand their needs, develop tailored solutions, and drive the implementation of our cutting-edge data integration platform.Your expertise will help clients harness the full potential of their data, enhancing decision-making processes and improving operational efficiency. If you are passionate about data solutions and eager to make an impact, we want to hear from you!

Who We Are:Materialize serves as the context engine for AI agents and applications, enabling engineering teams to utilize SQL for transforming isolated operational data into real-time, reliable insights across their business. Leverage Materialize to provide up-to-date context for AI agents, enhance data-heavy user interfaces, and architect low-latency, event-driven systems that support microservices and essential business operations. Trusted by industry leaders such as General Mills, Bilt Rewards, and Crane Worldwide Logistics, Materialize is dedicated to tackling significant operational data challenges while establishing a live data foundation for AI advancement.Our diverse team operates throughout the United States (with headquarters in NYC), Canada, and EMEA.Investors:Supported by Kleiner Perkins, Redpoint Ventures, and Lightspeed Venture Partners.About the RoleOur database technology is the core of the Materialize product, translating years of pioneering academic research into the essential component of contemporary data architecture. As a vital member of our Database team, you will collaborate with approximately 10 talented engineers, tackling ambitious systems challenges to deliver this innovative product to our users.Recent projects the Database team has undertaken include continuous efforts to enhance freshness and responsiveness while ensuring correct and consistent results; optimizing system scalability; developing appropriate primitives for integration with our users’ diverse software development lifecycles; merging memory and disk through seamless swap utilization; streamlining our release process for greater predictability and reliability; crafting clear documentation for both internal and external audiences; boosting observability and debugging tools; and removing obsolete code.This role is based in our NYC office (near Astor Place), with an expectation of being in the office at least 3 days a week.

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.

Join Our Growth Team!Seize the opportunity to be part of Enigmaio's dynamic Growth Team as we innovate sales and marketing solutions tailored for small businesses. We are in search of a seasoned Software Engineer to craft and enhance data products and systems that have a direct influence on our clients, driving both their success and ours. Your contributions will shape decisions for organizations employing a significant portion of the U.S. workforce, delivering immense value.Your RoleAs a vital member of our Growth Team, you will:Design and implement data products that address key customer challenges while creating scalable, high-quality systems for engaging with our data.Collaborate with software engineers, data scientists, and product managers to create a seamless customer journey from discovery to purchasing.Analyze extensive datasets to extract insights and build robust, maintainable data solutions.Develop scalable systems deployed in cloud environments.Take ownership of architectural and design decisions, ensuring compelling customer experiences with minimized operational costs.Your ResponsibilitiesAct with decisiveness, delivering value in the short, medium, and long term.Engage actively with product teams to resolve customer issues in a systematic way.Utilize a principled, metrics-driven approach to tackle complex data challenges, showcasing excellence in analytics and engineering.Foster a transparent, collaborative environment, embracing constructive feedback and diverse perspectives.Exhibit a proactive attitude and thrive in a collaborative, cross-functional team essential to our company’s success.Eagerly assume responsibility for architectural and design decisions while actively participating in implementation.Why This Role Excites YouImpact: Build innovative data-driven solutions that effectively resolve high-value customer issues.Technical Challenge: Confront intricate data and engineering challenges, balancing customer impact with reliability, scalability, and data quality.Multifaceted Role: Engage in diverse projects that contribute significantly to our growth and success.

Join our dynamic team at Camber as a Senior Software Engineer specializing in Data. In this pivotal role, you will be responsible for designing, developing, and optimizing data-driven applications that enhance our core services and drive innovation. You will work on cutting-edge technologies and collaborate closely with cross-functional teams to deliver impactful solutions that meet our client’s needs.

Department Overview:The Client Services team encompasses support, customer success, and solutions engineering. This team is dedicated to delivering exceptional value to our clients and ensuring sustained revenue generation. We empower our customers to leverage InfoSum to its fullest potential while addressing their opportunities and challenges internally.Sub Department Overview:Solutions Engineering is at the forefront of technical excellence, overseeing the planning and execution of client use cases utilizing InfoSum. Our team collaborates closely with the Sales team for pre-sale use case validation and technical scoping, and with Customer Success for post-sale support, execution, and expansion. Serving as a client-facing entity, Solutions Engineering builds robust partnerships with technical stakeholders at client organizations, resolves technical barriers, and equips clients and internal teams with tailored tools to enhance the adoption of InfoSum's comprehensive technology solutions.Job Overview:In the capacity of Senior Director of Solutions Engineering within the Client Services team, you will be instrumental in enabling InfoSum's clients to maximize the benefits of our platform. You will lead a talented team of Solutions Engineers, providing technical guidance and strategic insight to facilitate the implementation, optimization, and scaling of InfoSum's technology. This position demands a unique combination of technical expertise, leadership, and customer engagement capabilities to ensure successful client outcomes and to foster InfoSum's growth trajectory.Core Responsibilities:Lead a dynamic team of Solutions Engineers based in NYC to design, plan, and execute innovative data collaboration projects utilizing InfoSum.Serve as the foremost expert in the U.S. regarding InfoSum’s complete technology solutions and integration capabilities.Validate both prospective and existing customer use cases, providing tailored advice on achieving their data collaboration objectives.Establish and maintain relationships with senior technical executives at Fortune 500 companies.Develop and present comprehensive project plans aligned with customer goals, ensuring meticulous attention to technical details and identifying potential pitfalls.Collaborate closely with Customer Success throughout project execution to expedite completion, enhance customer experience quality, and address technical challenges.Partner with Sales to drive revenue growth by identifying opportunities for expanded customer utilization of InfoSum while ensuring exceptional customer satisfaction.Draft technical specifications to support customer operations, covering areas such as data preparation, dataset onboarding, querying, API integrations, and MCP integrations.Enhance and create shared templates for project planning and managed services.