Hybrid work environment (3 days in the office, flexible scheduling).About UsAt DoubleVerify, we lead the industry in providing independent marketing measurement software, data, and analytics that validate the quality and efficacy of digital media for major brands and media platforms around the globe. Our solutions ensure media transparency and accountability, delivering the highest quality impressions for optimal advertising performance. Since our inception in 2008, we have empowered countless Fortune 500 companies to maximize their media investments through cutting-edge solutions across the digital landscape. Discover more at www.doubleverify.com.Role OverviewAs a Senior Data Platforms Engineer on our Data Platforms team, you will play a crucial role in enhancing the development experience for both engineering and product teams by creating robust data platforms. You will be responsible for shaping and optimizing our core data services, with a particular emphasis on data warehouse technologies and platforms that facilitate seamless data movement and governance.Our Mission: To enable secure, self-service data at scale across DoubleVerify via a governed platform.Your Responsibilities:As a Senior Data Platforms Engineer, you will oversee the entire lifecycle of essential data platforms, focusing on technologies such as Snowflake, MongoDB, SQL Server, BigQuery, and CloudSQL, as well as data movement tools like Airbyte. Your goal will be to ensure their reliability, scalability, and alignment with our strategic objectives while empowering teams to handle data independently.

Role Overview 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.

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.

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.

We are seeking a highly skilled and motivated Senior Platform Engineer to join our dynamic team at st-labs. This role is crucial in designing, developing, and maintaining our platform infrastructure while ensuring optimal performance and reliability. The ideal candidate will possess a strong foundation in software engineering principles and demonstrate a passion for innovation and problem-solving.

About the Role Anthropic is hiring a Software Engineer to support our Research Data Platform. This position is based in San Francisco, CA or New York City, NY. The team works closely with engineers and researchers to create data solutions that strengthen our research efforts. The work directly supports Anthropic’s mission to develop safe and beneficial AI.

About YouAs a Senior Platform Engineer at Copia Automation, you are a problem-solver who thrives on tackling challenging, unique, and impactful projects alongside passionate team members. Your expertise spans Site Reliability Engineering, DevOps, and Infrastructure Engineering, allowing you to take ownership of technical projects and provide invaluable thought leadership.In this role, you will make critical architectural decisions, mentor fellow engineers, and influence the technical trajectory of our products. Working in the industrial automation sector, you will delve into a range of topics that are rarely encountered in conventional software engineering roles. About UsCopia Automation is at the forefront of providing cutting-edge disaster recovery technology for the industrial automation landscape. Our innovative product suite introduces modern developer tools to the operational technology (OT) space, including a unique Git-based source control solution tailored for automation professionals. We are a well-funded startup with a rapidly expanding customer base within the industrial sector. Why Choose Industrial Automation?The manufacturing industry is heavily reliant on industrial automation, utilizing computerized systems and robotics operating on Programmable Logic Controllers (PLCs). This domain employs a distinctive graphical language that does not align with standard developer tools like GitLab or GitHub, leading automation professionals to depend on outdated storage methods and partial solutions. With significant downtime costs, there is a pressing demand for improved development tools. Engineering Culture at CopiaOur engineering team thrives on collaboration, experimentation, and a sense of ownership. We tackle complex challenges together, testing our assumptions and valuing practical solutions that balance immediate needs with long-term objectives. We maintain an optimistic outlook, celebrating our achievements and supporting one another through unforeseen obstacles.

Our MissionAt Reflection AI, our mission is to create open superintelligence and ensure its accessibility for everyone.We are crafting open weight models for individuals, organizations, and even nations. Our talented team comprises AI researchers and entrepreneurs hailing from renowned institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.FoundationsVision:Establish and maintain a comprehensive company-wide foundations platform that empowers every team by delivering dependable, scalable developer infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools, enabling Reflection to accelerate as we grow.What This Team DoesWe are responsible for developing and managing the essential data systems and pipelines that fuel our research, training, and production environments. This platform facilitates rapid experimentation, reliable model development, and scalable production workflows by integrating ingestion, processing, and orchestration throughout the data lifecycle.Design ingestion and orchestration patterns for both batch and streaming data workloads.Construct scalable compute and storage foundations (formats, engines, runtimes) that support extensive data processing.Guarantee reproducible pipelines through versioning, backfills, and isolated execution environments.Deliver trusted data quality, lineage, and governance signals to empower teams in making informed production decisions.Sustain predictable cost and performance through established guardrails, budgets, and ongoing system optimization.Facilitate a unified data layer that supports research, training, and production across the model development lifecycle.About the RoleYou will play a pivotal role in constructing the core data systems and pipelines that drive our research, training, and production environments. Your responsibilities will include designing and implementing reliable, scalable ingestion and orchestration patterns for batch and streaming workloads, developing storage and compute foundations that enable reproducible experimentation and rapid iteration, and establishing data quality and governance standards that teams can rely on for production decisions. You will also provide the foundational data layer that unifies ingestion, processing, and workflow management throughout model development.

Join Our Team as a Data Platform EngineerFauna Robotics is seeking a talented Data Platform Engineer to help us construct the essential data systems that drive our robotics and machine learning initiatives. In this pivotal role, you will architect and implement the infrastructure necessary for the collection, storage, processing, and transformation of extensive data generated by our robots—including sensor telemetry, video streams, operational logs, and performance metrics.Collaboration is key, as you will work alongside our machine learning teams to ensure data is not only accessible but also well-structured and primed for training. Your contributions will empower research teams to innovate rapidly and allow operations teams to effectively monitor fleet performance as we scale.Key ResponsibilitiesDesign and develop scalable data pipelines for the ingestion and processing of robotics data (including sensor streams, video, telemetry, and logs).Maintain data storage solutions that are optimized for various data types and access patterns.Create tools and APIs that enable researchers and engineers to efficiently query and analyze large datasets.Develop real-time data processing systems for monitoring robot fleet performance.Construct and sustain data transformation pipelines that prepare robotics data for machine learning training.Work collaboratively with machine learning and robotics teams to ensure our data platforms evolve to meet their needs.Required Skills & QualificationsEducation: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.Work Experience: 3+ years in data engineering or data platform roles.Technical Expertise:Strong programming skills in Python and SQL.Experience with data processing frameworks (e.g., Spark, Flink, Kafka).Proficiency with data storage technologies (e.g., PostgreSQL, object storage).Experience with cloud data platforms (AWS, GCP).Strong understanding of distributed systems and data architecture principles.Preferred SkillsExperience with robotics or IoT data, including time-series, video, and point clouds.Familiarity with streaming architectures and real-time analytics.Knowledge of data governance best practices.

At Profound, we are dedicated to empowering organizations to comprehend and manage their AI landscape effectively. We are seeking a talented Software Engineer for our Data Platform team to architect, develop, and enhance the infrastructure that drives data initiatives across our organization.In this role, you will design scalable platforms and create tools and frameworks that support data scientists, analytics engineers, and machine learning engineers. You'll be instrumental in laying the groundwork for analytics, experimentation, and machine learning-driven features. This is an exciting opportunity for individuals who thrive on constructing resilient systems, tackling intricate technical challenges, and enabling teams through superior platform design.Key ResponsibilitiesDesign and develop platform infrastructure that caters to the needs of machine learning, analytics, and software engineers, along with data scientists throughout the organization.Create tools and frameworks for data ingestion, transformation, quality assurance, and observability.Architect robust and scalable systems utilizing technologies such as Snowflake, Clickhouse, AWS, dbt, and Dagster.Implement governance, access control, and data quality systems that grow alongside the organization.Facilitate MLOps by establishing infrastructure to support model development and deployment.Lead technical discussions regarding platform architecture, tool selection, and data management practices.Collaborate effectively with product, engineering, and data teams to identify needs and deliver impactful solutions.

Role overview Braze, Inc. is hiring a Senior Staff Platform Infrastructure Engineer based in New York City. This position centers on designing and improving the core infrastructure that supports Braze’s products and services. The engineer will guide complex technical projects and partner with teams throughout the company. What you will do Design and enhance platform infrastructure to strengthen Braze’s offerings Take the lead on technical projects, managing them from initial planning through execution Work closely with colleagues across departments to deliver reliable and scalable solutions Share ideas and technical knowledge to help drive improvements and innovation in the platform

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 RWA.xyzAt RWA.xyz, we are revolutionizing capital markets through tokenization, which enables the programmable, real-time settlement of financial assets using blockchain technology. The tokenization sector has experienced explosive growth, surpassing $30 billion and increasing by 300% annually, yet it still captures less than 0.01% of the $500 trillion global financial assets market.As the premier data platform for tokenized assets, RWA.xyz serves esteemed financial institutions including Goldman Sachs, J.P. Morgan, the U.S. Treasury, the IMF, and many others.Supported by top investors in both traditional finance and cryptocurrency, such as Archetype, Jump, and Solana, our team comprises experts from leading firms in Silicon Valley and Wall Street.

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.

Join Us at PerceptaAt Percepta, we are on a mission to revolutionize critical industries through the power of applied AI. Our commitment is to ensure that essential sectors such as healthcare, manufacturing, and energy leverage advanced technologies for their benefit.We partner with leading organizations to foster AI transformation, combining:Expertise in engineering, product development, and researchMosaic, our proprietary toolkit designed for the rapid deployment of intelligent architecturesStrategic collaborations with industry giants like Anthropic, McKinsey, AWS, and General CatalystOur team consists of a dynamic group of Applied AI Engineers, Embedded Product Managers, and Researchers, all eager to integrate AI innovations into tangible improvements in everyday life.Percepta is a proud partner of General Catalyst, an esteemed global transformation and investment firm.Role OverviewWe are seeking a Senior Platform Engineer to develop the foundational infrastructure that supports Percepta’s AI initiatives.This pivotal role bridges customer implementations and platform architecture. As part of a dedicated team, you will engage directly with key institutions, designing and constructing systems that enable AI agents to effectively interact with real-world tools, services, and environments.Your work will often commence in the field, crafting solutions for specific client challenges. Ultimately, your goal will be to identify and formalize effective abstractions to enhance our platform, facilitating quicker deployment of future systems.The challenges we face are novel, and the frameworks are still evolving, meaning the systems we create often lack predefined guidelines.Your ResponsibilitiesDevelop the core platform enabling AI agents to interact seamlessly with external tools, services, and environments.Design systems that manage complex multi-step workflows driven by cutting-edge models.Collaborate with Percepta teams embedded with clients to deliver robust production AI systems.Extract reusable abstractions and infrastructure from real-world deployments.Create reliable interfaces between AI systems and distributed execution environments.Rapidly prototype new architectures as we navigate emerging patterns in AI.

OverviewAt bettermoney, we are pioneering the future of stablecoin integration into everyday payments. Our mission is to create a stablecoin clearinghouse that enables seamless transactions, transforming stablecoins into a reliable form of currency rather than mere trading assets. We are in search of a Platform Engineer who has a passion for precision and performance. Join us in enhancing our testing framework to accelerate development while ensuring reliability. Your insights on improving efficiency will help us develop internal tools, development infrastructure, and automation, enabling our compact team to operate with the efficiency of a larger organization.About UsAt bettermoney, we are firm believers in the potential of stablecoins as the foundation for superior payment solutions. We recognize significant structural challenges that impede stablecoin adoption, and we are committed to addressing these issues, starting with our innovative clearinghouse. Based in New York City, our dynamic team has successfully secured $10M in funding from a16z Crypto and other esteemed partners, and we are on a mission to revolutionize currency.Your RoleTake ownership of the test harness for our foundational systems, focusing on integration tests, formal verification, and chaos testing for our ledger, netting algorithm, money transfers, and payment prioritization.Establish correctness assurances that empower the team to deliver faster. By proving accuracy, we can advance with confidence.Design and implement internal tools that enhance our productivity exponentially.Manage CI/CD pipelines, development environments, and deployment infrastructure to streamline the transition from code to production in a safe and efficient manner.Implement observability features such as logging, tracing, and alerting, enabling us to identify issues proactively before our customers notice.And, of course, handle the dishes.Who We SeekA minimum of 3 years of experience in platform engineering, developer tooling, infrastructure, or reliability engineering.Proven experience in developing testing infrastructure for systems where correctness is paramount, such as payments, trading, or ledgers.Familiarity with formal verification, property-based testing, or chaos engineering is highly desirable.A strong vision for what effective internal tooling should encompass, demonstrated by your proactive development efforts.Comfortable navigating ambiguity, viewing it as an opportunity for ownership and innovation.Our Core ValuesChallenge the status quo - we refuse to accept a payment process that takes days and incurs excessive costs.

Veeva Systems Inc. is a visionary organization dedicated to innovating within the life sciences sector, enabling companies to expedite the delivery of therapies to patients. As one of the most rapidly expanding SaaS firms in history, we achieved over $2 billion in revenue in our last fiscal year, with significant growth prospects on the horizon.Our core values at Veeva include: Doing the Right Thing, Ensuring Customer Success, Fostering Employee Success, and Promoting Speed. Unique among public companies, we made history in 2021 by becoming a public benefit corporation (PBC), legally committed to balancing the interests of customers, employees, society, and investors.As a Work Anywhere organization, we prioritize flexibility, allowing you to choose to work from home or in the office, creating an environment where you can thrive.Join us in our mission to transform the life sciences industry, making a meaningful positive impact on our customers, employees, and communities.The RoleAs a Senior Product Manager for the Compass Patient Data product, you will be responsible for overseeing data quality and feature enhancements within our Compass Platform. The Compass Platform serves as a centralized repository for deidentified healthcare claims data that has been processed, normalized into a standard schema, and enriched for querying capabilities. You will spearhead the development of features designed to enhance data quality and the value it provides to our clients, including implementing reference data, enrichment logic, exploring data clean-up opportunities, and functionalities that support the software UI and data delivery, such as search services and data curation. Collaboration with the Health Data and Onboarding teams will be essential to understand the entire pipeline, closely measuring quality and pinpointing areas for improvement. You'll work hand-in-hand with Development and QA teams to design and build product features. If you are passionate about data growth, enhancement, and accuracy, you will take ownership of the quality management process, prioritize data improvement initiatives, draft transformation and calculation requirements, and drive our vision forward.

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.