Senior Data Engineer at Garner Health | New York City

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 commit…

Standard Template Labs is a visionary startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through the power of AI. Supported by esteemed investors, we are utilizing cutting-edge AI technologies, graph-based architecture, and superior design to redefine how enterprises interact with their technology ecosystems.About the RoleAs we expand our SaaS platform to accommodate increasingly intricate enterprise environments, the significance of our graph-based data architecture is growing. We seek a Senior Software Engineer with extensive expertise in developing and scaling graph-centric, multi-tenant data systems for large-scale SaaS applications.In this pivotal role, you will be responsible for advancing our graph data tier—designing high-performance, secure, and scalable graph models and storage strategies that facilitate complex relationships, deep querying capabilities, and insightful analytics across multiple tenants.This hands-on, impactful position will allow you to influence the technical framework of how we represent, store, navigate, and analyze interconnected enterprise data at scale.Key ResponsibilitiesGraph Data ArchitectureArchitect, refine, and optimize our multi-tenant graph data model, encompassing node/edge schema design, relationship modeling, partitioning, and traversal strategies.Establish and implement tenancy models for graph storage—balancing shared-graph versus tenant-isolated subgraphs, hybrid partitioning, or database-per-tenant graph deployments.Create robust data architecture for graph sharding, indexing, and high-throughput traversal, ensuring rapid response times for queries as the complexity and size of the topology expands.Backend & Data Layer EngineeringDevelop backend services that extensively interact with data stores, including APIs, data access tiers, ingestion workflows, and graph mutation/query pipelines.Enhance query performance through indexing enhancements, caching strategies for subgraphs, optimized traversal patterns, and distributed graph execution.Multi-Tenancy & Platform ScalabilityLead the strategic decisions surrounding multi-tenant graph architecture including tenant boundaries, access control models, resource isolation, and performance equity.Implement tooling for tenant onboarding, migrations, provisioning, graph expansion, and lifecycle management.Collaborate with cross-functional teams to ensure the successful integration of graph data architecture into our SaaS platform.

At Tiger Data, previously known as Timescale, we are dedicated to empowering developers and businesses with the fastest PostgreSQL platform, expertly crafted for transactional, analytical, and agentic workloads. Trusted by thousands of organizations worldwide, Tiger Data accelerates real-time insights, drives intelligent applications, and supports critical infrastructure at scale. Our globally distributed, remote-first team is committed to direct communication, accountability, and collaborative excellence, as we shape the future of data infrastructure designed for speed, flexibility, and simplicity.We are on the lookout for exceptional database engineers to join our dynamic team. In this role, you will design, code, and test the core components of our PostgreSQL-based database. Our focus is on building a scalable, reliable, robust, user-friendly, secure, and high-performance database. Strong systems-building experience and expertise in C are essential, along with a solid understanding of query optimization and database systems. Ideally, you will have existing PostgreSQL expertise or demonstrate a keen interest and aptitude to become an expert.This position is fully remote and full-time.Key Responsibilities:Contribute significantly to the design and development of new database capabilities, including analytics, clustering, distributed operations, query, and storage optimizations.Develop, test, and launch new features and functionalities from our database technical roadmap.Continuously enhance, optimize, and test the existing features of TimescaleDB.Enhance infrastructure for evaluating and testing database correctness and performance.Collaborate closely with our Cloud Engineering team to deliver a world-class experience for our Tiger Data customers.Provide high-level technical support to valued customers, gaining insights into their needs and experiences.Be a collaborative and approachable teammate, engaging in code reviews and supporting fellow engineers.Ideal Candidate Profile:5+ years of engineering experience.Proven expertise in building industrial-strength software in C/C++ for large codebases.Experience with PostgreSQL internal development is highly desirable but not a strict requirement.Strong understanding of SQL, query processing, database engines, concurrency control, data replication, and/or distributed systems.A genuine passion for building exceptional database solutions.

About PineconePinecone is a pioneering vector database that empowers developers to create precise and high-performing AI applications at scale. Our mission is to enhance AI's knowledge capacity, enabling over 9,000 customers across diverse industries to launch AI solutions swiftly and confidently using our user-friendly technology. Headquartered in New York, we have successfully raised $138 million in funding from esteemed investors including Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.About the Team and Role:Become a vital part of a dedicated team focused on designing and constructing resilient, real-time distributed systems for an innovative database. Our values center on performance, reliability, scalability, continuous learning, and fostering a fun working environment. Whether you are an experienced programmer or just starting your journey, your enthusiasm for technology and eagerness to learn will make you a great fit.Who We Are:We come together to collaborate and innovate technologies that make a meaningful impact, surrounded by individuals who truly care.We prioritize enhancements in areas like tail latencies, byte throughput, cache hit rates, and overall operational efficiency.We believe in continuous learning and that even the most intricate challenges can have straightforward solutions.What You’ll Do:Collaborate with team members to design and develop database features that drive AI applications.Learn how to optimize performance and ensure reliability within distributed systems (we'll provide guidance along the way).Assist in maintaining Pinecone's smooth operation on leading cloud platforms.Take charge of your projects and enhance your skills on a daily basis.Have fun while you work!Who You Are:5+ years of professional experience in programming languages such as Rust, Go, C++, or similar.You possess a genuine curiosity about distributed systems and are eager to tackle complex technical challenges.You approach problems with creativity and determination, comfortable in seeking feedback and asking insightful questions.You are enthusiastic about learning, value constructive criticism, and appreciate mentorship.Bonus Points:Hands-on experience with cloud providers such as AWS or GCP is a plus.

Role overview The City of New York needs a Database Engineer to manage and improve large-scale database systems. This position centers on keeping databases reliable and supporting data quality, performance, and security across city departments. What you will do Maintain and optimize complex databases that support city operations Collaborate with teams from various departments to address project and data requirements Support efforts to keep data accurate, secure, and available as needed Location This role is based in New York City.

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.

Join DoubleVerify as a Senior Data Engineer I, where you'll play a pivotal role in transforming the way our clients access and analyze data within our innovative platforms. In this position, you will leverage your expertise to build scalable data pipelines, ensuring the integrity and accessibility of our data assets.Your responsibilities will include collaborating with cross-functional teams to design, implement, and maintain data solutions that drive business decisions. This role demands strong analytical skills and a passion for problem-solving in a dynamic environment.

About GreenboardAt Greenboard, we are pioneering the future of financial compliance through our innovative, AI-driven compliance operating system. Serving Registered Investment Advisors (RIAs), fintech companies, private funds, and hedge funds, we eliminate the disarray of outdated tools and enhance automation to a level previously unseen. By consolidating data and workflows, we empower firms to mitigate regulatory risks, streamline their technology infrastructure, modernize compliance operations, and achieve significant cost savings.Our founding team comprises engineers who have successfully scaled products at industry giants such as Amazon and Google, as well as at several unicorn startups. Backed by renowned investors including Y Combinator, General Catalyst, and Base10, we have secured over $20 million in funding to date. Leading financial institutions trust Greenboard, and we are rapidly expanding our footprint in the industry.About the RoleWe are in search of a Senior Data Engineer to play a pivotal role in constructing and scaling our data platform as we continue to grow.This high-impact individual contributor position focuses on optimizing the flow of data across our systems—from production services to analytics and customer-facing functionalities. You will collaborate across our technology stack (AWS, internal services, and application data) to ensure that data is reliable, well-structured, and accessible throughout the organization.Ideal candidates will thrive in ambiguous environments, enjoy building foundational systems, and work closely with engineering, product, and business teams.What You’ll DoDevelop and Manage Data SystemsDesign, build, and maintain robust data pipelines that source data from application systems, APIs, and internal services.Create workflows for batch processing and near real-time data handling.Utilize AWS infrastructure to oversee data movement, storage, and transformation processes.Model and Deliver DataCraft and uphold clean, well-organized datasets for analytics, internal tools, and product applications.Facilitate both analytical workflows and operational/product-related data requirements.Guarantee that data is comprehensible and dependable for downstream consumers.Enhance Product & Customer DataEstablish and sustain pipelines that support customer-facing features (e.g., reporting, exports, in-product data).Collaborate with product and engineering teams to seamlessly integrate data into the product experience.

About 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 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.

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.

At Astronomer, we empower data teams to transform crucial software, analytics, and AI into reality. We are the creators of Astro, the premier unified DataOps platform leveraging Apache Airflow®. Astro streamlines the creation of dependable data products that unveil insights, drive AI value, and facilitate data-driven applications. Trusted by over 800 leading enterprises globally, Astronomer enables organizations to maximize their data capabilities. Discover more at www.astronomer.io.About This Role:At Astronomer, we are redefining the management of Apache Airflow at scale. Our R&D organization is composed of some of the brightest minds in cloud infrastructure and open-source software.We are seeking a top-tier Staff+ level engineer to join our team and shape our Data and Database strategy as we enhance our platform's reliability, cost-effectiveness, and growth trajectory.You will play a pivotal role in designing, building, testing, and deploying our production infrastructure. Your contributions will directly impact the development of Astro, Observe, and our IDE product, as well as how global organizations orchestrate scalable data pipelines—making them faster, more reliable, and easier to manage.Your Key Responsibilities:Become a subject-matter expert in data management at scale. Astronomer's platform utilizes various databases and data sources, and as our needs evolve, we require a database and data platforms expert to oversee our data storage, retrieval, security, and curation processes.Our technology stack is primarily Postgres-based, supplemented with blob storage and specialized options for specific data types. You will advise, design, and lead the development of the data systems necessary for our continued growth. This technical role requires active participation in building these systems and ensuring their suitability.You will be at the forefront of collaboration within our Platform Engineering team and the broader R&D group.Blaze a Trail: Take ownership of our database and comprehensive data strategy, with the authority and responsibility to match—this role reports directly to the VP of Reliability.Be an Owner: Participate actively in decision-making processes regarding our data architecture.

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.