Senior Data Engineer

Join Aircall's innovative team as a Data Engineer in our Seattle office, where you will play a critical role in shaping our data architecture and analytics capabilities. You will be responsible for designing and implementing robust data pipelines, ensuring data integrity, and providing insights that drive business decisions. If you are passionate about data and eager to contribute to a dynamic team, we invite you to apply!

Join Aircall as a Forward Deployed Engineer, where you will be at the forefront of our technical operations, collaborating closely with clients to implement solutions that enhance their communication systems. You will play a vital role in ensuring seamless integration of our products into the clients’ environments, providing exceptional support and technical insights that drive customer satisfaction and success.

Join Aircall, a leading unicorn in AI-powered customer communication solutions, trusted by over 22,000 businesses globally to enhance revenue, accelerate issue resolution, and scale customer-facing teams. We are revolutionizing customer interactions by integrating voice, SMS, WhatsApp, and AI into a unified platform.Our growth is driven by a core principle: empower teams to work smarter, not harder. With innovations like our AI Voice Agent for automating routine calls, AI Assist for optimizing post-call tasks, and AI Assist Pro for providing real-time support, we enable teams to achieve higher revenue and faster resolutions confidently.Headquartered in Paris, with a strong North American hub in Seattle, Aircall also has teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We have developed a beloved product and a high-growth business, supported by top-tier investors and driven by rapid advancements in AI across various product lines.At Aircall, you'll be part of a dynamic and ambitious organization. We prioritize product excellence and execution, allowing for quick decision-making and significant impact.Our Work Culture: We are deeply customer-focused, data-informed, and committed to delivering valuable results. We value ownership, continuous learning, and thoughtful agility. If you excel in a collaborative, fast-paced environment where trust and impact are paramount, you're in the right place.We are seeking a Senior Software Engineer to develop intelligent systems that automate workflows across various internal departments at Aircall. This position merges advanced software engineering expertise with a passion for understanding and automating the workflows of stakeholders in Marketing, Sales, Customer Support, Customer Success, Finance, HR, Legal, Engineering, Product, and other functional areas utilizing AI agents. Ideal candidates should possess curiosity, an affinity for solving complex challenges, and practical experience deploying LLMs in production.

Join Aircall, a trailblazing AI-powered customer communications platform trusted by over 22,000 companies globally to enhance revenue, accelerate issue resolution, and empower customer-facing teams. We are transforming the customer communications landscape by integrating voice, SMS, WhatsApp, and AI into a unified workspace.Our progress is fueled by a core belief: enable teams to work smarter, not harder. With our innovative AI Voice Agent automating routine calls, AI Assist optimizing post-call tasks, and AI Assist Pro providing real-time support, our platform empowers users to perform at their best. This leads to increased revenue, quicker resolutions, and scalable teams.Headquartered in Paris, with a robust North American presence in Seattle, Aircall has offices in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product has garnered immense customer appreciation, and we are rapidly scaling, supported by top-tier investors and driven by swift AI advancements across diverse product lines.At Aircall, you will become part of a dynamic organization. We are ambitious, product-focused, and execution-oriented, emphasizing visible impact, rapid decision-making, and genuine growth.Our Work Culture at Aircall: We prioritize our customers, rely on data, and aim to achieve significant outcomes. We cherish ownership, continuous learning, and purposeful speed. If you excel in a collaborative, fast-paced environment where trust and impact are paramount, you will thrive here.As a Senior IT Operations Manager, you will oversee all IT operations at Aircall and lead our IT teams across our offices in New York, Paris, San Francisco, and Seattle. The ideal candidate will be responsible for conceptualizing and executing IT strategies that support Aircall's growth trajectory, possessing experience in scaling IT teams within high-growth environments. This role necessitates collaboration with Procurement, Finance, and Infrastructure Security teams to effectively prioritize IT initiatives. In addition to managing personnel and stakeholder relationships, you will be hands-on with support ticket management, optimizing our support processes, onboarding and offboarding employees across various tools, procuring and distributing hardware, establishing top-tier IT security policies, and liaising with external vendors. Strong technical expertise is essential, particularly with tools such as Google Workspace, Okta, Jira or other ticketing systems, Zoom, and more.

Join our innovative team at Opendoor as a Data Scientist, where you'll leverage your analytical skills to drive data-informed decisions. Your expertise will contribute to building data models, conducting statistical analyses, and extracting insights that will enhance our products and services.

Join our dynamic team at Sons of IT, Inc. as a Data Science and Analytics Associate. In this role, you will leverage your analytical skills to transform data into actionable insights, supporting our clients in making informed decisions. You will work closely with cross-functional teams to develop innovative data-driven solutions.

Join Sonsoft Inc. as a Data Science Analytics Associate and immerse yourself in the world of data-driven decision making. In this role, you will leverage your analytical skills to interpret complex datasets and provide actionable insights to support our strategic initiatives.

Join Axon and Be a Force for Good.At Axon, we are committed to our mission of Protecting Life. As pioneers in the field of safety and justice, we tackle some of society's most pressing challenges through our innovative ecosystem of devices and cloud-based software. Collaboration is key to our success; we foster open communication and actively seek diverse perspectives from our customers and communities.Working at Axon is fast-paced, rewarding, and impactful. Here, you will have the opportunity to take ownership and effect real change. You will continuously grow while dedicating your efforts to a mission that truly matters at a company that values you.Your ImpactLaw enforcement agencies require training systems that leverage real data on officer performance in the field. Over the past few years, we have collected and validated this data to create actionable insights that trainers can utilize to improve effectiveness, safety, and reduce injuries during encounters. Your role will not only involve delivering these validated models into production but also ensuring a strategic pipeline for ongoing data product delivery to our customers.Our small, technically skilled team operates within Axon’s TASER division. We focus on hardware telemetry and behavioral science, analyzing TASER device data to develop models that inform training recommendations for law enforcement. Our work reaches the highest levels of leadership and translates into user-facing features. We are driving towards Axon’s ambitious goal: to reduce fatal officer-involved shootings by 50% over the next decade.The leadership team includes a former Staff Engineer and a TPM who oversaw a 60-member engineering organization. Both product managers have quantitative backgrounds in applied mathematics and engineering. Our program manager brings over 30 years of law enforcement experience, and our designer is an integral part of the team. This collaborative environment allows us to cover all aspects—engineering, data, product, and domain expertise—making this hire a crucial addition.This role is dynamic; while you may not always have another Software Engineer present, you will benefit from a wealth of experience within the team.

Role Overview DoorDash is hiring a Data Science Manager to lead a team of data scientists working on projects that use data to improve DoorDash’s services. This role involves managing team members, setting direction for analytical model development, and shaping strategies that influence decisions across the company. What You Will Do Oversee and mentor a team of data scientists Guide the development of analytical models and data-driven strategies Work with teams from different departments to spot opportunities for improvement Deliver insights that help DoorDash connect people with top local options Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX

Join Stripe, a leading financial technology company, as a Data Scientist where you will leverage data to drive insights and influence strategic decisions. This role involves collaborating with cross-functional teams to analyze complex data sets, build predictive models, and contribute to innovative solutions that enhance our products and services.

About UsAt Otter, we understand that successful restaurateurs must not only have a passion for food and people but also for technology. Our mission is to empower restaurants worldwide in the realm of online food delivery. Trusted by renowned brands such as Chick-fil-A, Ben & Jerry’s, KFC, and Eataly, our software enhances sales, minimizes order issues, and alleviates delivery complexities.Your RoleDrive the design, development, and maintenance of real-time streaming data pipelines using Apache Flink, Kafka, and other related technologies to ensure efficient and reliable data delivery.Implement data integrity strategies, including dynamic filtering, checkpointing, and auto-healing processes to build resilient pipelines.Manage and support real-time data infrastructures, alongside internal tools and monitoring systems to ensure optimal pipeline performance.Work collaboratively across product, engineering, and analytics teams to fulfill data requirements and feature requests.Set and advocate for best practices in streaming data engineering, data governance, and cloud platforms while enhancing data models for analytical purposes.

Join Opendoor as a Data Scientist in Seattle, where you will leverage data-driven insights to shape the future of real estate transactions. Your work will directly impact business decisions and enhance customer experiences. Collaborate with cross-functional teams to develop innovative solutions that utilize advanced analytics and machine learning techniques.

Stripe builds financial infrastructure that powers businesses of every size, from startups to global enterprises. The platform supports millions of companies as they accept payments, grow revenue, and pursue new opportunities. Stripe’s mission centers on expanding the online economy and increasing economic access for all. The Growth Data Science team partners with product and engineering leaders to help businesses launch and grow on Stripe. This group focuses on improving user journeys, beginning with first awareness and continuing through acquisition, adoption, expansion, and retention. The team is recognized for expertise in experimentation, advanced causal analysis, and a deep understanding of user behavior. Collaboration spans Product, Engineering, Sales, Marketing, Developer Platform, Support, and Risk teams. Role overview The Data Science Manager, Growth, guides the team’s direction and impact. This leader contributes directly to modeling and design, while also coaching and developing data scientists. The role requires a strong focus on users, technical depth, and the ability to communicate clearly with both technical and non-technical partners, including senior leadership. Key responsibilities Define the roadmap and priorities for the Growth Data Science team in partnership with Stripe leaders, supporting data-driven decision-making. Collaborate with stakeholders in engineering, analytics, operations, finance, and marketing. Manage and improve processes to ensure the team delivers high-quality work and remains connected to the broader Stripe community. Lead and mentor a team of data scientists, supporting their technical growth and career development. Work with recruiting to hire and onboard new data science talent. Participate in broader data science initiatives as part of Stripe’s management team. Location This position is based in Seattle, WA; New York, NY; or can be remote within North America.

At PitchBook, a subsidiary of Morningstar, we are committed to looking ahead. We continually innovate, evolve, and invest in our team to unlock the potential in everyone. Our collaborative spirit and vibrant culture make our workplace both energetic and enjoyable.Our comprehensive learning programs and mentorship initiatives foster a culture of curiosity, encouraging us to seek new solutions and improved methods. In a fast-paced industry with high aspirations, we embrace challenges and ambiguity, thriving when we push our limits. We are open to taking risks, learning quickly from our failures, and striving for excellence.If you bring a positive attitude and a willingness to roll up your sleeves to get things done, PitchBook is the perfect place for you.About the Role:As a pivotal member of our Product and Engineering team, you will collaborate with a group of innovative thinkers and problem solvers who are dedicated to enhancing the positive impact we have on our customers and our organization daily. We prioritize curiosity and the pursuit of better practices, with a strong emphasis on customer empathy in our product innovations.We believe that greatness comes from collaboration and diverse perspectives; hence, we work closely with partners globally. As a team, we assume positive intent, value constructive dialogue, and cultivate a respectful workplace grounded in integrity and growth. We invest significantly in our employees who are eager to learn and evolve. Join us and grow with PitchBook!

About Us:Read AI is at the forefront of productivity-enhancing AI solutions, dedicated to empowering individuals and organizations to streamline their workflows across meetings, messaging, and email communication. Our seamless integration with leading platforms such as Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce transforms how teams collaborate, providing an AI copilot that enhances productivity wherever work happens.Having recently secured $50 million in Series B funding led by Smash Capital, along with ongoing support from existing investors Madrona and Goodwater Capital, our total funding now stands at $81 million, marking an exciting phase of growth just six months post-Series A. If you are passionate about developing impactful solutions and eager to contribute to a rapidly growing company, we invite you to be part of our journey!The Role:As a Senior Software Engineer at Read AI, you will play a critical role in shaping the architecture and performance of our product. You will oversee the data flows and machine learning infrastructure, which encompasses real-time audio and video processing, interactions with third-party LLM providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services.Responsibilities:Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.Take ownership of key system components from conception through deployment and maintenance.Implement quality assurance best practices, including unit and integration testing.Optimize data processing pipelines and storage solutions for efficiency.Seamlessly integrate third-party services and data sources into our platform.Monitor and troubleshoot infrastructure and operational issues to ensure maximum uptime and reliability.Continuously assess and adopt best practices, tools, and technologies to improve system scalability, reliability, and maintainability.

Join Our Team as a Driver/Data Collector!Are you ready to be part of an innovative team dedicated to gathering essential data that drives impactful decisions? At Service Measure (SM), we specialize in field data collection, founded in 2013 in New York, and our mission is to collect data where automation falls short. We engage in counting features, capturing images and videos, recording audio, and scanning areas meticulously. With teams spread across Europe and North America, we embrace new challenges and opportunities.Project Overview:We are seeking reliable drivers to help test new features in our online mapping application during both day and night shifts. You will navigate urban landscapes with high traffic, working closely with a co-pilot. Your observations on the app's functionality and usability will be recorded in a spreadsheet using a tablet or laptop. This vital data will be shared with our client to inform future enhancements.New employees will undergo a comprehensive one-day remote training session. All project-related expenses, such as vehicle rental, fuel, parking, and tolls, will be covered by the company. The project duration is projected to be 3-4 weeks, operating Monday to Friday, for 7-8 hours each day, typically from 9 AM to 5 PM. Each team member will be assigned approximately five routes daily.

OVERVIEWJoin the innovative team at Welo Data as a Data Annotation Specialist in Seattle. This exciting role allows you to play a crucial part in the development of advanced AI technologies. You will directly engage with state-of-the-art AI products, ensuring the accuracy and quality of data that enhances machine learning models through meticulous analysis and quality assurance.Project DetailsJob Title: Data Annotation SpecialistLocation: Seattle (On-site)Hours: Full-time, 40 hours per weekStart Date: November 2025Employment Type: W2 Full-Time EmployeePlease note: Valid work authorization in the US is required (Welo Data does not sponsor VISAs at this time).This position offers a remarkable opportunity to contribute to the future of AI technology by testing new products, updating machine learning models, and ensuring the delivery of high-quality data for impactful AI solutions.

Real World Data AnalystAt Truveta, we are pioneering the world’s first health provider-led data platform with a mission to Save Lives with Data. Our goal is to empower researchers to accelerate the discovery of cures, enhance clinician expertise, and help families make informed healthcare decisions. Joining Truveta means being part of a passionate team of skilled individuals with diverse backgrounds in health, software, and big data, all aligned with our core company values.Although Truveta originated in the Pacific Northwest, our team members are spread across the nation, enjoying a flexible hybrid work model. We do require in-person attendance at least once a year for an onsite meeting.To maximize team productivity, we prioritize meetings during Pacific Time. Regular meetings are scheduled to avoid post-3 PM PT slots, while ad hoc discussions may occur between 8 AM and 6 PM PT. #LI-remoteWho We Are Looking ForTruveta is rapidly expanding its diverse team to address complex health and technology challenges. We seek innovative problem solvers who are enthusiastic collaborators and ready to contribute meaningfully. If you are eager to engage in purposeful work, be part of a mission-driven team, and cultivate a fulfilling career while enjoying the journey, Truveta could be the ideal place for you.This OpportunityThe Real World Data Analyst position presents an exciting opportunity to make a significant impact in healthcare through data analysis and insights.

Join our dynamic team at Sonsoft Inc., where we leverage cutting-edge technology to drive data-driven decision-making. As a Data Science and Analytics Specialist, you will play a crucial role in analyzing complex datasets, developing predictive models, and providing actionable insights that influence business strategy.