Big Data Engineer

Join our dynamic team at StemXpert as a Big Data Engineer and play a pivotal role in transforming data into actionable insights. You will be responsible for designing and implementing large-scale data processing systems, ensuring optimal performance and reliability. Your expertise will help us unlock the full potential of our data assets.

Clear is looking for a Data Engineer II in New York, NY. This position centers on building and maintaining data architecture to support the company’s analytics and reporting needs. Role overview As a Data Engineer II, you will work with teams from different parts of the organization to develop scalable data solutions. The focus is on designing systems that keep data accurate, consistent, and easy to access for those who need it. What you will do Design and implement data pipelines and architecture Ensure data integrity throughout the data lifecycle Collaborate with colleagues to make data accessible across the business Requirements Experience in data engineering, data architecture, or analytics Ability to work with cross-functional teams Strong problem-solving skills related to data systems

At Gusto, we are driven by a mission to empower the small business economy. We manage the complexities of payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on what they do best: their craft and their customers.With teams based in Denver, San Francisco, and New York, we proudly support over 500,000 small businesses across the nation. We are committed to building a workplace that mirrors the diverse communities we serve.All full-time employees enjoy competitive base salaries, comprehensive benefits, and equity in the form of RSUs, as we believe that those who contribute to Gusto’s growth should also share in its success. Compensation packages are tailored to role, level, and location. Find out more about our Total Rewards philosophy.AI technology plays a vital role at Gusto. We encourage all team members to engage actively with AI tools relevant to their roles and to enhance their proficiency as technology evolves. Requirements related to AI experience will be evaluated during the interview process.The Data Engineering team is responsible for creating tools and systems that ensure Gusto's data is consistent, user-friendly, and actionable. Our mission is to empower teams to make data-driven decisions and deliver tailored experiences to our customers.We are in search of a Senior Data Engineer who can navigate loosely defined problems and drive them from conception to execution—this includes framing the issues, aligning stakeholders, and designing, building, and deploying robust data solutions. You will collaborate closely with analytics, product, and engineering teams to implement data strategies that yield significant business and customer outcomes.

Role Overview Garner Health is hiring a Data Engineer II in New York City. This role focuses on building and maintaining the data pipelines that support the company’s analytics and data infrastructure. The work directly supports data-driven decision making and helps advance healthcare solutions. What You Will Do Design, develop, and maintain data pipelines Support and improve the organization’s data infrastructure Enable analytics that inform business and healthcare decisions

Join NBCUniversal Media, a global leader in media and entertainment, as a Senior Staff Data Engineer. In this pivotal role, you will design, build, and maintain scalable data pipelines and architectures to support our data-driven initiatives. Collaborate with cross-functional teams to leverage big data technologies and drive innovation in data processing and analytics.

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.

We are seeking a highly skilled Senior Data Engineer to join our dynamic team at Charlie Health. In this pivotal role, you will be responsible for designing, building, and maintaining scalable data pipelines that drive our analytics and reporting capabilities. You will work closely with data scientists and analysts to ensure that our data infrastructure meets the needs of our growing organization.The ideal candidate will have a strong background in data engineering, a passion for working with large datasets, and a desire to make a difference in the healthcare sector.

About GeminiFounded in 2014 by Cameron and Tyler Winklevoss, Gemini is a leading global platform in the crypto and Web3 space. We provide a diverse array of secure, reliable, and straightforward cryptocurrency products and services to individuals and institutions across more than 70 countries. Our mission is to facilitate the next wave of financial, creative, and personal freedom by granting trusted access to a decentralized future. We envision a future where cryptocurrency transforms the financial landscape, the internet, and money itself, fostering greater choice, independence, and opportunity for everyone. By integrating traditional finance with the burgeoning cryptoeconomy, we aim for a more open, equitable, and secure world. As a publicly traded company, Gemini is poised to enhance this vision with increased scale, reach, and influence.The Data DepartmentOur Data Team is the driving force behind insights, innovation, and trust at Gemini. This team consists of exceptional data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists, all collaborating to convert raw data into actionable intelligence. We build scalable data pipelines, enable state-of-the-art machine learning, and ensure data governance and cost efficiency, providing the groundwork for informed decision-making and pioneering products. We thrive at the intersection of cryptocurrency, technology, and finance, united in our mission to unlock the full potential of Gemini's data to fuel growth, enhance efficiency, and improve customer impact.Role Overview: Staff Data EngineerAs a Staff Data Engineer, you will lead critical architectural initiatives, provide mentorship, and develop high-scale systems that have a substantial impact across the organization. You will collaborate closely with product, analytics, machine learning, finance, operations, and engineering teams to reliably move, transform, and model data, ensuring observability, resilience, and agility.This position requires in-person attendance at our New York City office twice a week.

About FLORAAt FLORA, we are pioneering the first creative operating system: a limitless canvas tailored for the generative computing era. Our dynamic team of approximately 45 professionals is dedicated to enhancing the art of professional creation. We are supported by leading investors such as Redpoint, Menlo Ventures, and a16z, along with notable founders including Guillermo Rauch and Justin Kan. Already, our platform is favored by elite creative firms like Pentagram, Lionsgate, and Nike.About the RoleWe are seeking a Senior or Staff Data Engineer to establish FLORA's data infrastructure from the ground up. As our inaugural data hire, you will collaborate closely with the CTO and Head of Product to define our data strategy: encompassing capture, storage, analysis, and decision-making processes.Your responsibilities will include setting up our data warehousing and pipelines, identifying crucial metrics (like activation moments, power users, and engagement quality), and creating impactful dashboards. Our PostHog telemetry system is operational, and the overarching data model will be yours to construct.You will partner with our growth engineering team to design tracking models, which they will implement. Additionally, you will have the autonomy to make vendor choices, select BI tools, and make critical infrastructure decisions as we expand.Key ResponsibilitiesConduct audits of existing PostHog data, events, and user behaviors.Design and implement robust data models with comprehensive metadata collection.Establish data infrastructure, including warehousing and processing pipelines.Evaluate and select essential technologies.Create executive-level BI dashboards that inform product and growth strategies.QualificationsMinimum of 6 years of experience in data engineering or analytics engineering (we welcome former people managers returning to individual contributor roles).Demonstrated ability to work independently; as the first data hire, your judgment will be pivotal.Strong SQL skills and solid understanding of at least one modern data platform (e.g., Snowflake, BigQuery, Databricks, ClickHouse, MotherDuck).Hands-on experience with infrastructure: you have built pipelines, defined schemas, and made tooling decisions from scratch.Strong product instincts and a genuine curiosity about business; you know what metrics are significant and how to present insights to stakeholders.

Join The New York Times Company as a Senior Data Engineer, where you will play a pivotal role in designing and implementing innovative data solutions tailored for our customer-facing products. Your expertise in data architecture and engineering will drive enhanced customer experiences through data-driven insights.

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.

Join Influur as an AI Data EngineerAt Influur, we are pioneering the development of the first viral agent in the influencer marketing industry, a revolutionary AI designed specifically for this purpose.This is not merely a tool or platform; it's an autonomous agent that can transform a campaign concept into a reality with minimal human input, directly connecting to 50 influencers in just one week.The Importance of Our Work: With three years of proprietary insights into viral content, we have established ourselves as a trusted partner for major record labels like Warner, Sony, and Universal. Our impressive roster of backers, including entertainment icons such as Sofia Vergara and Karol G, along with top-tier venture capital firms like Point72 Ventures, empowers us to deliver production-ready AI that generates substantial revenue.Our Competitive Advantage: What sets us apart is our unique combination of both data and distribution. Our exclusive data on thousands of influencers, coupled with direct relationships with those influencers, positions us uniquely for success in the AI era.Why Join Us Now: As we stand on the brink of a revolution where AGI agents will redefine middle-level work by 2027, we have a critical opportunity to shape the future of social media marketing. This is your chance to help build the defining viral agent in the industry.What We Seek: We are looking for exceptional builders who desire comprehensive ownership over their work, rather than being confined to a narrow role. This position transcends the traditional data engineering job, offering you the chance to manage the entire lifecycle—from raw video ingestion to the decision-making processes of autonomous AI agents in production. We provide significant equity for those eager to play a pivotal role in shaping the future of agentic AI.

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.

Join versant3 as a Senior Data Engineer and play a pivotal role in shaping our data infrastructure. You will design and implement scalable data pipelines, ensuring data integrity and accessibility for our analytics and machine learning initiatives.

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.

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.

Join the team at The New York Times Company as a Data Engineer focusing on Analytics Data Products. In this pivotal role, you will design and implement data pipelines that drive insights and analytics for our products. Your expertise will contribute to the creation of robust data architectures, ensuring data quality and accessibility for analytics teams.

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 UsAt Perchwell, we are redefining the landscape of real estate listings. Our innovative platform empowers agents to conduct intelligent searches, enhance collaboration, and expedite transactions. We are dedicated to establishing a state-of-the-art infrastructure for residential real estate listings, seamlessly merging market research with client collaboration.Our cutting-edge architecture supports ongoing innovation that outpaces legacy systems, featuring AI-driven functionalities and mobile-first designs tailored for real-world applications by agents. As technology and consumer expectations evolve, our commitment remains steadfast: to provide real estate professionals with the most sophisticated, data-centric, and interconnected platform available.Supported by premier venture capital firms like Lux Capital and Founders Fund, along with strategic alliances with leading Multiple Listing Services (MLSs), Perchwell stands as the foremost new entrant into the listings technology market in decades. This unique blend of institutional backing and industry integration offers the resources and credibility necessary to revolutionize the multi-trillion dollar residential real estate sector.Position OverviewAs a Senior Software Engineer, Data, you will be integral to Perchwell's mission of developing a cohesive Multiple Listing System (MLS). You will work collaboratively with cross-functional teams, including Data Analysts, Product Managers, Designers, and Engineers, to construct robust data solutions. Your responsibilities will encompass establishing a data lake and warehouse solution, enhancing our existing data framework, and creating a premier system that accelerates the accurate onboarding of client data. As a key contributor to this initiative, you will have the chance to influence the standards, culture, and values of the data engineering team.We invite candidates to work from our SoHo NYC office three days a week.Your ContributionsDevelop and scale efficient data pipelines that integrate millions of property listings and market insights from diverse real estate data sources and APIs.Promote data excellence by designing automated governance systems that ensure high data quality and comprehensive observability across our platform.Drive the advancement of our data infrastructure to facilitate swift MLS onboarding, crafting solutions that benefit real estate professionals across the nation.Collaborate with our Data Analytics team to convert raw property data into actionable insights that enhance decision-making processes.

Why Choose Charlie Health?Across the nation, millions face challenges related to mental health, substance use disorders, and eating disorders. Unfortunately, they often encounter obstacles in accessing care, such as limited local resources and prolonged wait times. Behavioral healthcare frequently leaves individuals feeling overlooked and unsupported.At Charlie Health, we are dedicated to transforming this landscape. Our mission is to provide life-saving behavioral health treatment through personalized, virtual care that fosters connections—between clients, clinicians, care teams, loved ones, and supportive communities. By prioritizing individuals with complex needs, we aim to enhance access to meaningful care and promote improved outcomes from the comfort of their homes.As a rapidly expanding organization, we are reaching more communities daily and building a team that is reshaping the future of behavioral health treatment. If you're passionate about leveraging your skills to drive transformative change and help people access the care they deserve, we invite you to apply.Role OverviewAs a member of the Revenue Engine team at Charlie Health, you will play a crucial role in managing all aspects related to revenue collection, financial reporting, and enhancing the patient financial experience. This involves sourcing, curating, and activating both internal and external datasets, as well as developing user-facing products. In your capacity as a Data Engineer, you will be tasked with constructing ELT pipelines, creating custom DAGs, transforming and warehousing data using DBT, and building integrations between our systems.We are a team of dedicated and innovative professionals who are eager to tackle the challenges posed by the mental health crisis and contribute significantly to providing life-saving solutions. If you are motivated by our mission and excited about the chance to increase access to mental healthcare and positively impact millions of lives, we encourage you to apply today.