Senior Data Engineer - Build Innovative Data Solutions

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Registered Investment Advisors (RIAs), fintech companies, private funds, and hedge funds, we eliminate the disarray of outdated tools and enhance automation to a level previously unseen.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

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

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.

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.

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

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 GovWellAt GovWell, we believe in a government that works efficiently for its citizens. Our mission is to revolutionize the way local agencies deliver services through an innovative AI operating system.By replacing outdated software, GovWell empowers municipalities and counties to significantly enhance public service delivery, reducing processing times for permits and licenses by as much as 90%.Since our founding in 2023, we have successfully facilitated over 5,000 essential processes for agencies across more than 30 states, impacting millions of residents. Backed by $10 million in seed funding from Work-Bench and Bienville Capital, our dedicated team operates from our headquarters in New York City. Discover more about our journey in TechCrunch. Why Join Us?Meaningful Mission: Be part of a transformative movement that leverages AI to enhance outdated government systems, ensuring that tax dollars translate into high-quality public services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaireImmediate Impact: Your contributions will directly affect millions of Americans by optimizing government services, from simplifying small business permits to expediting affordable housing projects.Thriving Startup Environment: As a rapidly growing company (with a 4X ARR increase last year), you will gain invaluable experience in building a successful startup, working closely with our founders and enjoying significant autonomy and ownership. Role OverviewWe are seeking a passionate Data Solutions Engineer to facilitate the transition from legacy systems to our modern software platform. You will manage customer data migrations and GIS onboarding, collaborating with government teams to map schemas, validate data, and ensure seamless integration into GovWell’s platform.

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

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.

About FLORAAt FLORA, we are revolutionizing the creative landscape by providing innovative tools tailored for the modern creative class. Our intelligent canvas integrates cutting-edge AI models designed for professional craftsmanship. With a passionate team of approximately 40 individuals, we are proudly backed by leading investors such as Redpoint Ventures, Menlo Ventures, a16z, and notable figures like Guillermo Rauch and Justin Kan. Our esteemed clientele includes industry giants like Pentagram, Lionsgate, and Nike.About the RoleWe are seeking a Founding Data Engineer to establish FLORA's data function from the ground up. As our first data hire, you will collaborate closely with the CTO and Head of Product to define our data strategy—encompassing data capture, storage, analysis, and decision-making processes.Your responsibilities will include developing our data warehousing and pipelines, identifying key metrics that truly matter (such as activation moments, power users, and engagement quality), and creating impactful dashboards. You will have ownership of our PostHog telemetry and will design the broader data model.You will work hand-in-hand with our growth engineering team: while you design the tracking model, they will implement it. Additionally, you will be responsible for vendor selections, including BI tooling and infrastructure decisions critical for our growth.What You'll DoConduct 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 for our data ecosystem.Create executive-level BI dashboards that inform product and growth strategies.What We're Looking For6+ years of experience in data engineering or analytics engineering (candidates with managerial experience transitioning back to individual contributor roles are strongly encouraged).Demonstrated capacity to work independently; as our first data hire, we value your judgment.Proficiency in SQL and strong foundational knowledge 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 foundational tooling decisions.Strong instincts for product development and genuine curiosity about business; you know what metrics are meaningful and how to communicate insights to stakeholders.A hypothesis-driven mindset; you ask insightful questions about the business beyond just the technical aspects.

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.

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

About Gecko RoboticsAt Gecko Robotics, we empower the world’s most vital organizations to maintain the availability, reliability, and sustainability of critical infrastructure. Our innovative and interconnected solutions integrate wall-climbing robots, advanced sensors, and an AI-driven data platform, offering clients unparalleled insights into the current and future conditions of their physical assets. This capability enables real-time decision-making, boosts operational efficiency and safety, enhances mission readiness, and safeguards the environment and society against the repercussions of infrastructure failures.Your RoleAs a Data Engineer, you will play a pivotal role in developing and enhancing the data infrastructure for an AI-centric product that encompasses document intelligence, time-series IoT data, and intelligent AI systems. This is a hands-on, end-to-end position ideal for individuals who excel in ambiguous environments, are comfortable working closely with data models and customers, and aspire to directly influence how data and AI are utilized in practical applications.This position will primarily focus on the power industry, where your contributions will directly facilitate the dependable operation of power plants that service millions daily.Your ResponsibilitiesYou will be responsible for designing, implementing, and managing data systems throughout their lifecycle—from raw data ingestion to AI-driven outputs utilized by clients in real-world scenarios. Collaborating with customers and internal teams, you will identify real challenges, convert them into technical solutions, and iterate swiftly. You will create pipelines supporting document processing, sensor data, and machine learning workflows, engage in feature engineering and model experimentation as necessary, and take ownership of production systems. You will make practical architectural decisions, enhance reliability over time, and help establish best practices as our team and product grow.Technologies We LeveragePython, SQLCloud-native data and GenAI tools (GCP, VertexAI, etc.)Streaming and messaging systemsDistributed processing frameworksData warehouses, lakes, and object storageTime-series and NoSQL databasesML and AI tools (feature stores, vector databases, model pipelines)Docker, Kubernetes, and infrastructure-as-code tools

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.

Role overview The City of New York seeks a Data Engineer to support data-driven work across city departments. This position focuses on building and maintaining the systems that move and organize data for municipal analytics and reporting. What you will do Design and build data pipelines that transfer and transform information between different systems Maintain and improve data architectures used for analytics throughout the city Work to ensure data remains accurate and available for reporting and analysis Location This role is based in New York City.

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

Role overview phia seeks a Senior Data Scientist based in New York City. This role centers on applying analytical skills to support business decisions and shape company strategy. The Senior Data Scientist will handle large, complex datasets and use advanced statistical methods along with machine learning models to extract insights and forecast future trends. What you will do Examine diverse datasets to spot patterns and emerging trends Build and improve predictive models using statistical and machine learning approaches Present data-driven findings as clear, practical recommendations for stakeholders Contribute to strategic planning by providing insights grounded in data analysis