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Data Specialist Jobs

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Explore current data specialist jobs. Use filters to narrow by work mode, employment type, experience and date posted.

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

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About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

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Taskrabbit
📍 San Francisco• $130K – $180K/yr
10 days ago

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! Prior to applying please note: We are currently unable to provide visa sponsorship for this position (including H-1B, OPT, F1, CPT or other employment-based visas). Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. This role is hybrid requiring 2 days in office at our San Francisco hub every Tuesday & Wednesday (located at 130 Sutter St, San Francisco, CA). About the Role We're seeking a Senior Full Stack Engineer to join our remotely distributed AI full stack team, someone who builds with quality and care, and grows their impact across our ecosystem. You'll contribute meaningfully to the reliability, performance, and maintainability of our critical financial infrastructure, directly shaping how our customers and taskers experience money. Our AI & Innovation team is a new incubator for AI projects at Taskrabbit, focused on opportunities that improve the

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Affirm
📍 Canada• Remote• C$133K – C$183K/yr
10 days ago

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Our Marketplace is continually evolving to deliver a deeply personalized shopping experience that seamlessly links consumers with merchant partners. By leveraging machine learning alongside rich consumer and merchant data, we aim to simplify and streamline the customer journey around everyday and major purchases with tailored brands, products, deals, and offers. In tandem, we are advancing our Ads Platform which is a key technology that empowers merchant partners to strategically deploy their budgets and reach targeted consumers for maximum incremental impact. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience shipping web apps using declarative UI frameworks like React. You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple softwa

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10 days ago

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Our Marketplace is continually evolving to deliver a deeply personalized shopping experience that seamlessly links consumers with merchant partners. By leveraging machine learning alongside rich consumer and merchant data, we aim to simplify and streamline the customer journey around everyday and major purchases with tailored brands, products, deals, and offers. In tandem, we are advancing our Ads Platform which is a key technology that empowers merchant partners to strategically deploy their budgets and reach targeted consumers for maximum incremental impact. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience shipping web apps using declarative UI frameworks like React. You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple softwa

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Ramp
📍 New York• Full-time• Remote• $166K – $254K/yr
10 days ago

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role You will serve as a front-line manager for Ramp’s founding Public Sector Sales Development Representative (SDR) team. This team will drive outbound prospecting and pipeline generation within a critical growth segment for Ramp: Public Sector. You will build and evolve Ramp’s Public Sector go-to-market motion from the ground up. Key responsibilities include coaching and developing SDRs, setting team strategy, and partnering closely with Sales, Marketing, Product, and executive leadership to drive pipeline and business outcomes. As a member of the Sales Leadership team, you will play a critical role in shaping, scaling, and refining Ramp’s Public Sector growth strategy. What You'll Do Build and scale the Public Sector SDR function, including team structure, playbooks, messaging, and operating processes. Foster a high-performing team culture by managing daily activity, quota attainment, and key performance metrics. Hire, onboard, and train SDRs on Ramp’s products, Public Sector positioning, buyer personas, competitive landscape, and sales

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10 days ago

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. As a Senior Mobile Engineer focused on device connectivity, you'll help power Beacon's mission by building the native iOS and Android BLE layer that connects our EEG headbands and other wearables to the apps patients and clinicians rely on. Your work will determine how reliably we capture high-fidelity data in homes, clinics, and trial sites. This isn't just another app. You'll build tools that help unlock insights into neurological, psychiatric, and sleep disorders, with the potential to improve lives at scale. Beacon's robust asynchronous work practices ensure a first-class remote work experience, and we also have in-person office hubs in Boston and New York. For this position we will consider candidates based anywhere in the US Eastern time zone. What success looks like As part of our small, mission-driven Mobile Apps Team, you will: Lead development of our native iOS and Android BLE device SDKs. Own connection reliability, data throughput, and battery performance for device communication across a wide range of phones, OS versions, and real-world environments. Partner closely with our Devices team on firmware interfaces, GATT profiles, and device behavior. Expose device capabilities to our React Native applications through clean, well-tested native modules. Own the observability of device connectivity, using telemetry and field feedback from real u

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Beacon Biosignals
📍 Boston• Remote• $150K – $190K/yr
10 days ago

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. As a Senior Mobile App Engineer, you'll help power Beacon's mission by building the cross-platform React Native apps that patients and clinicians use with our EEG headbands and other wearables. Your work will shape how people capture high-fidelity data and how easily they move through clinical trials and at-home diagnostics. This isn't just another app. You'll build tools that help unlock insights into neurological, psychiatric, and sleep disorders, with the potential to improve lives at scale. Beacon's robust asynchronous work practices ensure a first-class remote work experience, and we also have in-person office hubs in Boston and New York. For this position we will consider candidates based anywhere in the US Eastern time zone. What success looks like As part of our small, mission-driven Mobile Apps Team, you will: Lead development of our React Native mobile applications across iOS and Android. Design and implement UX workflows for clinical trial participants and at-home diagnostic patients. Own the user experience, performance, reliability, and observability of the apps and features you build, using feedback from real users across diverse use cases and environments. Work with engineers on our native iOS and Android BLE device SDKs to integrate device capabilities cleanly into the app. Partner with our Devices team, other Platform teams, and produ

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MongoDB
📍 Toronto• C$82K – C$130K/yr
10 days ago

MongoDB Technical Services Engineers combine technical expertise, structured problem solving, and exceptional customer service to help customers build and operate reliable MongoDB applications and deployments. The team supports the MongoDB ecosystem—including the database server, drivers, Atlas, Cloud Manager, Compass, and related services. Engineers work directly with customers to understand complex technical challenges, identify root causes, and provide practical solutions for largescale, data intensive environments. We are looking for highly technical, insatiably curious, and adaptable engineers who enjoy understanding how systems are designed, deployed, and operated. Success in this role requires sound judgment, clear communication, initiative, collaboration, and a genuine desire to help others. Location and working model This role is based in Toronto and follows a hybrid working model, with a minimum expectation of three days per week in the office. Office location: 333 Bay St., Suite 1400, Toronto, ON M5H 2R2, Canada Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted. The ideal candidates should have strong technical experience in one (or more) of the following areas Systems administration Distributed systems Network Administration Database architecture and administration Application Architecture Data architecture and design Per

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Sentry
📍 Toronto• Full-time• Remote• C$163K – C$200K/yr
10 days ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. This role is based in Toronto, with three days per week in the office to work closely with engineering teams. In this role you will Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). Build scalable automation and control plane for Kafka fleet management and improve efficiency. Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. Improve observability, monitoring, and failover for mission-critical real-time systems

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Sentry
📍 San Francisco• Full-time• Remote• $155K – $190K/yr
10 days ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. This role is based in San Francisco, with three days per week in the office to work closely with engineering teams. In this role you will Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). Build scalable automation and control plane for Kafka fleet management and improve efficiency. Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. Improve observability, monitoring, and failover for mission-critical real-time s

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10 days ago

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Core Experiences owns the platform and front end behind Smartsheet's most used work surfaces. These are the sheets, reports, and dashboards millions of people open every day to plan, track, and run their work. Underneath them are petabytes of customer work data, one of the largest and most valuable datasets at the company. As AI agents join human teams, that data has to serve two very different users. People expect an instant, real-time collaborative experience. Agents read, write, and analyze at machine scale. Meeting both means rethinking how sheet data is stored, served, and moved between our operational systems and a world-class lakehouse platform. We hold that work to the highest standards of performance, reliability, and correctness. As a Principal Software Engineer on Core Views, you will set the technical direction for systems at the heart of Smartsheet. This is a hands-on architect role. You will spot the company's largest technical opportunities before they are obvious, prove them out with prototypes, and build alignment across engineering organizations, including on roadmaps you do not own. You will turn multi-quarter efforts into phased plans with clear milestones and candid risk reporting, then deliver them. You will make the hard trade-offs between latency, consistency, and cost. You will write the architecture decisions and standards other teams build on, and raise the technical bar for engineers across the company. Your first major initiative will reshape how sheet data moves between our transactional sto

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10 days ago

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are looking for a Staff Engineer to lead projects and initiatives on the Fraud Decisioning team. You’ll be responsible for building tools and systems that empower Affirm fraud fighting capabilities, work with cross-functional teams to adopt and monitor those and use analytics and data driven decisions to further improve the performance and quality of fraud deciders. Our mission is to drive growth while protecting Affirm, buyers, and merchants. We achieve this by leveraging data to evaluate risk at critical points in the user journey, adapting to the ever-changing fraud landscape, and by introducing new fraud-fighting capabilities.. What You’ll Do Work across the org to plan and execute large, cross-functional initiatives, including: project definition, technical specification, task break-down, delivery, monitoring, and maintenance. Generate simple and elegant designs that are easily deployed and debugged, but anticipate the unhappy path. Write high-quality code that can be easily understood and leveraged by others. Review others’ work and provide constructive feedback in order to maintain high and consistent quality standards across teams. Lead and mentor engineers to help them succeed and grow. Provide the right context to engineers and train them to take ownership of their respective pieces of the initiative. Effectively incorporate needs and opinions from stakeholders, advocate for ideas and initiatives, and create a common understanding where all voices are heard. Conduct technical and soft skill evaluations to inform and influence the hiring decisions. Develop and review the technical content and requirements of the interview process. What We Look For 6-10+ years of experience as a software engineer with leadership responsibilities and experience mentoring junior engineers. Pr

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are looking for a Staff Engineer to lead projects and initiatives on the Fraud Decisioning team. You’ll be responsible for building tools and systems that empower Affirm fraud fighting capabilities, work with cross-functional teams to adopt and monitor those and use analytics and data driven decisions to further improve the performance and quality of fraud deciders. Our mission is to drive growth while protecting Affirm, buyers, and merchants. We achieve this by leveraging data to evaluate risk at critical points in the user journey, adapting to the ever-changing fraud landscape, and by introducing new fraud-fighting capabilities.. What You’ll Do Work across the org to plan and execute large, cross-functional initiatives, including: project definition, technical specification, task break-down, delivery, monitoring, and maintenance. Generate simple and elegant designs that are easily deployed and debugged, but anticipate the unhappy path. Write high-quality code that can be easily understood and leveraged by others. Review others’ work and provide constructive feedback in order to maintain high and consistent quality standards across teams. Lead and mentor engineers to help them succeed and grow. Provide the right context to engineers and train them to take ownership of their respective pieces of the initiative. Effectively incorporate needs and opinions from stakeholders, advocate for ideas and initiatives, and create a common understanding where all voices are heard. Conduct technical and soft skill evaluations to inform and influence the hiring decisions. Develop and review the technical content and requirements of the interview process. What We Look For 6-10+ years of experience as a software engineer with leadership responsibilities and experience mentoring junior engineers. Pr

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10 days ago

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are seeking a Platform Software Engineer with deep experience in distributed systems to help design, build, and maintain core platform services. You will work primarily in TypeScript and Go to deliver reliable, scalable, and secure systems that power Supabase at massive scale. What you'll be doing: Design and implement distributed services and APIs that power the Supabase Platform. Lead projects that improve scalability, reliability, and cost efficiency across existing systems. Build data-intensive workflows, background jobs, and event-driven pipelines. Own service SLIs/SLOs and collaborate on incident response and post-incident reviews. Improve system observability with metrics, logging, tracing, and profiling. Contribute to our CI/CD and release processes to ship safely and quickly. Partner with product teams to deliver features end-to-end, from design docs to production. Write clear design documents, RFCs, and high-quality tests. What we're looking for: Experienced in designing and operating distributed systems, with strong foundations in consistency, fault tolerance, partitioning, consensus, and back pressure. Proficient in TypeScript and/or Go, ideally with 5+ years building production services in one or both languages (other languages also considered). Comfortable with cloud infrastructure (AWS preferred) and container orchestration. Familiar with multi-tenant architectures, API design, and data modelling. Knowledgeable about networking fundamentals and security best practices. Experienced with Infrastructure as Code (Pulumi preferred; Terraform/CDK also fine). Comfortable participating in on-call rotations for large-scale production systems. Nice to have: Experience wit

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