Senior Data Engineer, Growth (Remote)

ezCater stands at the forefront of the food for work technology sector in the United States, seamlessly connecting businesses in need of workplace catering with a vast network of over 100,000 restaurants nationwide. Our innovative platform delivers flexible and scalable solutions, catering to everything from regular employee meals to special one-off events, …

Join Klaviyo as a Senior Software Engineer focused on Growth, where you'll play a pivotal role in enhancing our platform's capabilities. You will work closely with cross-functional teams to design, develop, and implement innovative solutions that drive user engagement and expand our customer base. This is an exciting opportunity to leverage your technical expertise in a dynamic environment.

Role Overview Whoop is looking for a Senior Frontend Software Engineer to work on growth-focused projects in Boston, MA. This role centers on improving user experience and increasing engagement across our platform. What You Will Do Work closely with teams from different disciplines to design and deliver new features and improvements. Develop scalable, efficient, and visually polished frontend applications. Apply frontend expertise to create solutions that support Whoop’s mission and meet user needs. What We’re Looking For Strong background in frontend technologies. Experience building user-facing applications with attention to performance and design. Ability to collaborate effectively with engineers, designers, and product managers.

Solutions Engineer, Growth AcuityMD is an innovative commercial platform dedicated to expediting access to cutting-edge medical technology. With over 6,000 new medical devices approved by the FDA annually, our platform empowers MedTech companies to deliver these advancements to physicians efficiently, ultimately enhancing patient care. We are proudly supported by esteemed investors including Benchmark, Redpoint, and Ajax Health. As a Solutions Engineer at AcuityMD, you will play a pivotal role in steering the sales process by offering expert technical insights, crafting customized solutions, and ensuring the success of our customers. Collaborating closely with the Sales team, you will discern customer needs and deliver impactful demonstrations of AcuityMD's offerings. Adopting a consultative approach, you will assess both business and technical requirements, advising on effective strategies for the implementation of AcuityMD solutions. Team Mission At AcuityMD, we empower our Solutions Engineers to serve as strategic allies to our customers and prospects. Our team is dedicated to developing and maintaining a profound understanding of AcuityMD's products and services, while remaining attuned to the latest trends in the medical device industry. We aim to cultivate long-lasting customer relationships by comprehending their unique requirements. By working hand-in-hand with cross-functional teams, we identify new opportunities, streamline processes, and enhance our product offerings. We champion the value of data-driven insights, educating customers on how AcuityMD's platform can revolutionize their businesses. Our commitment to the highest standards of professionalism, ethics, and integrity governs all our interactions. We wholeheartedly encourage individuals from all backgrounds to apply.

Join DigitalOcean as a Senior Engineer specializing in the Inference Data Plane. In this role, you will be at the forefront of developing and optimizing data-driven inference systems that power our cloud services. Collaborate with a talented team of engineers to innovate and enhance our platform, ensuring high performance and reliability for our users.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

As WHOOP continues to broaden its global footprint and reach millions of new users, a strategic and analytical approach to marketing investment becomes essential for fostering sustainable growth. We are seeking a Senior Business Analyst to collaborate with performance marketers on our Growth Marketing team, focusing on maximizing media investments and enhancing marketing efficiency. In this dynamic role, you will engage closely with marketers, data scientists, and cross-functional teams to transform complex data into actionable insights that guide budget distribution, campaign refinement, and long-term growth strategies.

Join AcuityMD as a Senior Machine Learning Engineer where you'll play a pivotal role in shaping our Data and Intelligence products. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to create innovative solutions that drive our product offerings. Collaborate with cross-functional teams to enhance our capabilities and deliver exceptional value to our clients.

About SunoSuno is a visionary music company dedicated to enhancing creativity and imagination. Leveraging cutting-edge AI music technology, we provide a unique creative platform, featuring Suno Studio—a revolutionary generative audio workstation. Whether you're a casual shower singer, an aspiring songwriter, or an established artist, Suno empowers a diverse global community to create, share, and explore music, making the joy of musical expression accessible to everyone.About the RoleWe are seeking a passionate Growth Engineer to join our innovative team of early-stage generalists. This role is pivotal in driving user acquisition and engagement through engineering excellence. You will collaborate closely with our product and growth teams, harnessing data and technology to enhance the user experience and expand Suno's reach to millions of new users.What You’ll DoDesign and optimize features that promote growth, onboarding, and user engagement for Suno’s music applications.Conduct data-driven experiments to enhance user acquisition, retention, and conversion rates.Collaborate with product and marketing teams to develop systems that analyze user behavior, uncover opportunities, and fuel Suno’s growth.Build scalable and high-performance systems and integrations that support our growth initiatives and marketing campaigns.What You’ll Need5+ years of experience in engineering, growth, or a closely related technical field.Extensive knowledge of full-stack development, especially in growth engineering or analytics.Demonstrated experience with data pipelines, analytics platforms, and user tracking (familiarity with tools like Segment, Amplitude, Mixpanel, Statsig, and/or Snowflake is advantageous).Ability to transform data into actionable insights and strategic plans.Proficiency in web technologies (React, Typescript, NextJS) is a plus.A strong desire to iterate rapidly and a commitment to providing an exceptional user experience.A genuine passion for music and experimentation will be beneficial.A Bachelor’s degree or equivalent experience is required.Additional Notes: All applicants must be eligible to work in the United States.

Join our dynamic team at PA Consulting as a Senior Data Engineer, where you will leverage your expertise in data engineering to drive impactful projects. You will have the opportunity to work with cutting-edge technologies and collaborate with diverse teams to deliver innovative solutions that meet our clients’ data needs.As a Senior Data Engineer, you will design and implement scalable data architectures, optimize data pipelines, and ensure the integrity and accessibility of data across the organization. Your role will be pivotal in transforming raw data into actionable insights, thereby enhancing business decision-making.

Who We AreAt CarGurus (NASDAQ: CARG), we empower individuals to navigate their automotive journey with confidence. What began as a small group of dedicated developers focused on enhancing trust and transparency in car shopping has transformed into the largest and fastest-growing automotive marketplace, achieving profitability for over 15 years.What We DoThe automotive landscape is rapidly changing, and so are we. We are committed to moving the entire car buying experience online, assisting our customers through every phase, from selling an old vehicle to financing, purchasing, and delivering a new one. Our platform attracts tens of millions of visitors each month, and approximately 30,000 dealerships utilize our innovative solutions. Our employees thrive in a culture that prioritizes kindness, collaboration, and innovation—equipping our Gurus with the resources they need for career advancement. Join us in disrupting a trillion-dollar industry!Role OverviewCar shopping can be a daunting task. At CarGurus, we leverage data and technology to simplify this process, providing individuals with the tools necessary to find, buy, finance, or sell a car with ease. Our impact is substantial as we are the most-visited car shopping site in the U.S. and are rapidly expanding our reach internationally. Ready to embark on this journey with us?The Data Engineering team is seeking a Senior Manager of Analytics Engineering to facilitate data-driven decision-making across the organization. You will oversee the development of scalable and high-performance data models that support reporting solutions for various stakeholders, including Product Management, Marketing, and Finance. We are in search of a collaborative leader who can actively influence our corporate analytics strategy as we grow and evolve.

Veeva Systems, a trailblazer in the industry cloud space, is dedicated to expediting the delivery of therapies to patients in the life sciences sector. With a remarkable ascent as one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue last fiscal year, with promising growth opportunities on the horizon.At Veeva, we embody core values that guide our mission: Doing the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), reinforcing our commitment to balancing the needs of customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to choose your work environment, whether at home or in the office, enabling you to excel in your ideal setting.Join us in transforming the life sciences industry and making a meaningful impact on our customers, employees, and communities.

Mission: We are in search of a talented and driven Senior Data Engineering Analyst to join our innovative team focused on large-scale AI model evaluation through our platform, Ground Truth Regression. The ideal candidate will possess a solid foundation in data engineering, machine learning principles, and statistical analysis. At Motional, the orchestration of extensive data analysis is crucial for advancing our machine learning-driven autonomous driving technology. Our robo-taxi ML models and software are developed by a dedicated team of engineers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework to validate any changes that could influence the behavior of autonomous vehicles. The Ground Truth Regression team assesses the cumulative effects of ML and software modifications during the development phase, equipping the team with tools for root cause analysis and safety evaluations. We meticulously monitor model errors, anomalies, and rare occurrences across extensive driving scenarios, gathering insights over thousands of driving hours. The team is responsible for developing the full-stack infrastructure, including AWS Kubernetes orchestration, re-simulation, model metrics, regression reports, and deep-dive analytical tools. Collaboration with other perception and ML teams is integral for establishing metrics and analyzing outcomes. What You’ll Do: Collaborate with ML Engineers and Autonomy Software Developers to create new data analysis metrics and KPIs for validating autonomous vehicle performance. Pursue innovation by researching and developing new large-scale data analysis frameworks. Lead large-scale data analysis workflows to identify unexpected impacts of both planned and unplanned modifications to ML models and software. Construct high-quality datasets to enhance ML product performance through training and edge case validation. Deliver in-depth statistical insights on model performance and generalization through thorough error and change analysis. What We’re Looking For: Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Proficient programming skills in Python, SciPy, and related data analysis frameworks. Experience in machine learning, data mining, and statistical analysis. Familiarity with large-scale data processing and distributed computing technologies. Strong communication and software development skills, including goal setting, design documentation, testing frameworks, and collaborative team development.

About SunoSuno is a transformative music company dedicated to unleashing creativity. With our cutting-edge AI music model, we provide an innovative platform featuring Suno Studio, a revolutionary generative audio workstation. Whether you are a casual shower-singer, an aspiring songwriter, or an established artist, Suno enables a diverse global community to create, share, and explore music, making the joy of musical expression accessible to everyone.About the RoleWe are seeking a dynamic Growth Engineer to become an integral part of our innovative team. This role is ideal for individuals who are enthusiastic about leveraging engineering skills to enhance user acquisition and engagement. You will collaborate closely with our product and growth teams, employing data and technology to create compelling experiences that introduce Suno to millions of new users.Discover more about this opportunity at Suno!Your ResponsibilitiesDesign and refine features that propel growth, enhance onboarding, and boost engagement for Suno’s music applications.Conduct data-driven experiments aimed at optimizing user acquisition, retention, and conversion rates.Collaborate with product and marketing teams to create systems for analyzing user behavior, identifying growth opportunities, and driving Suno’s expansion.Build scalable, high-performance systems and integrations to support growth initiatives and marketing campaigns.Your QualificationsA minimum of 5 years of experience in engineering, growth, or a related technical field.In-depth experience in full-stack development, preferably with a focus on growth engineering or analytics.Demonstrated expertise with data pipelines, analytics platforms, and user tracking tools (experience with Segment, Amplitude, Mixpanel, Statsig, and/or Snowflake is advantageous).Ability to transform data into actionable insights and strategies.Web development experience (React, Typescript, NextJS) is beneficial.A strong passion for rapid iteration and a commitment to delivering exceptional user experiences.A genuine love for music and a spirit of experimentation is a significant plus.Bachelor's degree or equivalent is required.

Join Formlabs as a Senior Growth Marketing Analyst, where you will play a pivotal role in driving our marketing strategies and initiatives. This position offers an exciting opportunity to leverage data analytics to inform decision-making, optimize marketing campaigns, and enhance customer engagement.As a key member of our growth team, you will analyze performance metrics, develop actionable insights, and collaborate with cross-functional teams to execute innovative marketing strategies. Your expertise will directly influence our growth trajectory and market presence.

At Veeva Systems, we are on a mission to revolutionize the life sciences industry by accelerating the process of bringing therapies to patients. As a trailblazer in the industry cloud space, we have achieved remarkable success, surpassing $2 billion in revenue last year with a promising trajectory ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide every decision we make. In 2021, we proudly became a public benefit corporation, reinforcing our commitment to balance the interests of all stakeholders, including customers, employees, and society.As a Work Anywhere company, we embrace flexibility, allowing you to choose your work environment—whether remote or in-office—so you can thrive in the way that suits you best.Become part of our journey to transform the life sciences sector and make a positive impact on the communities we serve.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives that each Klaviyo (as we affectionately refer to ourselves) brings to our workplace daily. We believe in equal opportunities for success and appreciate the unique insights each individual offers beyond traditional qualifications. If you find yourself closely aligned with this description, we encourage you to apply, regardless of an exact match. To learn more about life at Klaviyo, visit klaviyo.com/careers to discover how we empower creators to shape their own destinies.Klaviyo’s mission is to enable businesses to take control of their growth. As the Director of Engineering - Growth & Engagement, you will spearhead a portfolio of product engineering teams that are integral to the customer journey: from acquisition to value realization and the overall Klaviyo-powered commerce experience.This role encompasses leadership over three interconnected teams: K-Social, which transforms social interactions into actionable data that enhances the Klaviyo profile; Growth, responsible for onboarding, activating users from free to paid tiers, and cross-selling within our product-led growth framework; and Customer Hub, which creates a seamless, personalized onsite account experience integrating merchandising, support, offers, and self-service options.You’ll manage an organization of approximately 30+ engineers across these domains, including several direct reports, and work collaboratively with Product, Design, Data, GTM, and Support teams. This is a Director-level position for a product-oriented, AI-first engineering leader who excels at translating strategy into execution, fostering a culture of experimentation, and enhancing the quality of customer-facing products.

Join DigitalOcean as a Senior Data Center Engineer II, where you will play a crucial role in maintaining and optimizing our data center operations. This position offers the opportunity to work on challenging projects that impact our global infrastructure, ensuring reliability and efficiency.

Join our dynamic team at Suno as a Senior / Staff Software Engineer in Data Infrastructure. In this role, you will be instrumental in shaping the future of our data systems, ensuring they are robust, scalable, and efficient. Collaborate with cross-functional teams to design and implement innovative solutions that drive our business forward.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and viewpoints that our team members—whom we affectionately call Klaviyos—bring to our workplace daily. We believe everyone deserves an equitable chance at success and value the unique experiences each individual offers beyond conventional job qualifications. If you feel you are a close match for this role, we encourage you to apply. To learn more about life at Klaviyo, visit klaviyo.com/careers to discover how we empower creators to take charge of their own destinies.Why You Should Join the Onboarding TeamThe Product Expansion team at Klaviyo is dedicated to enhancing the initial experience of our platform for new users. We are committed to optimizing the setup process for customers, ensuring they quickly realize the value of our tools. As engineers, we leverage data to identify improvement opportunities, conduct A/B tests to validate our hypotheses, and collaborate across departments to continually enhance user experience while minimizing obstacles for newcomers. We seek versatile software engineers who are enthusiastic about refining user experiences and have an interest or experience in expanding a user base through effective onboarding strategies.How You Will Make a DifferenceImplement user-experience enhancements throughout the Klaviyo product, with a focus on the new customer journey.Design and execute A/B tests to validate concepts, analyzing results to guide product improvements.Collaborate with marketing, data science, sales, and engineering teams to identify enhancement opportunities and engage directly with customers to understand their needs better.Contribute to refining our experimentation and development methodologies while mentoring fellow engineers.Clearly define objectives, constraints, and context for AI implementations, ensuring accuracy with a focus on security, performance, and maintainability.