Staff Data Engineer

About Pinterest Pinterest helps millions of people worldwide discover new ideas, try fresh possibilities, and collect inspiration for their lives. The company’s mission is to empower individuals to curate a life they love, starting with a talented and diverse team. Pinterest values innovation and encourages employees to fuel growth for millions. Team members are supported in turning passion into opportunity, and the company celebrates different backgrounds while offering flexibility to help everyone do their best work. AI plays a central role at Pinterest, serving as a partner to boost creativity and impact. The hiring process focuses on both foundational skills and how candidates collaborate with AI. For more on Pinterest’s approach to AI in hiring, see this overview. About tvScientific tvScientific is a leading CTV advertising platform built for performance marketers. The platform uses large-scale data and advanced technology to automate and optimize TV advertising, helping businesses achieve measurable results. Media buying, optimization, measurement, and attribution all work together in a single solution. The team behind tvScientific includes experts in programmatic advertising, digital media, and ad verification, building tools for advertisers focused on business growth. Role Overview: Staff Data Engineer The Staff Data Engineer will lead the design, implementation, and improvement of identity services and the data governance platform at tvScientific. This role is critical for maintaining data integrity, privacy, and governance across the company. The position involves working at the intersection of data engineering, identity resolution, privacy, and platform reliability. As an individual contributor, the Staff Data Engineer will help define and carry out the strategic vision for data engineering within the organization. Location San Francisco, CA, US or Remote, US

Join our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.

Join tvScientific as a Sales Engineer where you will play a critical role in bridging the gap between our innovative technology and our sales strategy. You will work closely with our sales team to create tailored solutions that meet our clients' needs, leveraging your technical expertise to ensure successful implementation and customer satisfaction.

Join tvScientific as a Machine Learning Engineer where you will leverage cutting-edge machine learning techniques to enhance our advertising platform. You will be responsible for developing and optimizing algorithms that drive effective ad targeting and analytics. Collaborate with cross-functional teams to integrate machine learning solutions that improve user engagement and maximize return on investment for our clients.

tvScientific seeks a Machine Learning Platform Engineer to help shape the company’s advertising technology. This position can be based in San Francisco, CA, or performed remotely from anywhere in the United States. Role overview This role focuses on building and refining machine learning models that drive the core of tvScientific’s advertising platform. The work combines technical skill with creative problem-solving to support the platform’s effectiveness. What you will do Develop and optimize machine learning models to enhance advertising performance Collaborate with team members to deliver solutions that balance innovation, scalability, and reliability Apply technical expertise to address challenges at the intersection of technology and creative thinking Location Candidates may work from San Francisco, CA, or remotely within the US.

Join the innovative team at tvScientific as a Senior Data Scientist, where your expertise in data analysis and machine learning will drive impactful decisions. You will collaborate with cross-functional teams to develop data-driven strategies that optimize our advertising solutions. Engage in deep statistical analysis and contribute to the advancement of our data science capabilities.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the personal finance experience for our millions of members through innovative mobile technology.As a next-generation financial services company and national bank, we pride ourselves on being at the forefront of an unprecedented transformation in the industry. Our core values guide our efforts every day, driving meaningful changes that impact people's lives. Invest in yourself, your career, and the financial world with us.SoFi is on the lookout for a seasoned and driven Senior Staff Data Engineer to lead our Data Engineering group within the SoFi Data Platform (SDP) division. The SDP's mission is to harness data across SoFi, enabling the development of personalized and engaging experiences for our members.The Role:In this position, you will have the chance to significantly influence and steer the architecture of our next-generation AI-powered SoFi Data Platform (SDP). You will enhance data reliability through AI-driven workflows, tools, and practices. You will be responsible for leading, defining, and tackling complex problems in a fast-paced, collaborative environment. The ideal candidate will be a mentor and technical leader who is hands-on, with a strong sense of ownership and a commitment to delivering results.

tvScientific seeks a Senior Backend Engineer to support the backend infrastructure behind its advertising products. The position centers on designing and building applications that handle scale, efficiency, and security needs. Key responsibilities Develop and enhance backend systems that power advertising offerings. Collaborate with engineering, product, and design teams to deliver new features and improvements. Maintain high standards for application performance, reliability, and security. Location San Francisco, CA, US Remote, US

tvScientific seeks a Senior Software Engineer to strengthen its digital advertising platform. This position centers on developing new features and enhancing current systems, all in support of the company's mission. Role overview This role involves designing, building, and improving software components that drive the platform's capabilities. The work includes both creating new functionality and refining established systems to ensure reliability and performance. Location This position is based in San Francisco, CA, with the option to work remotely from anywhere in the United States.

Join Our Mission-Driven Team at PayJoyAt PayJoy, we are committed to revolutionizing credit access for underserved communities in emerging markets, enabling them to achieve financial independence and prosperity. Our innovative secured credit technology serves as a gateway for new customers to engage with the credit system, providing them with opportunities through point-of-sale financing and credit cards. Our solutions empower our clients as micro-entrepreneurs and offer a safety net during challenging times. With advanced machine learning, data science, and anti-fraud AI, we proudly serve over 18 million customers and maintain a strong profitability trajectory for sustainable growth.About the RoleAs a Staff Data Engineer, you will play a pivotal role in ensuring our data infrastructure is robust, scalable, and secure. Your responsibilities will include designing and maintaining real-time and batch processing systems, developing a data strategy aligned with business objectives, ensuring data integrity and security, optimizing database performance, automating workflows for enhanced efficiency, and leading cross-functional teams to uphold best practices in data management.

Join tvScientific as a Senior Machine Learning Operations Engineer and play a pivotal role in deploying and managing ML models at scale. You will work closely with data scientists and software engineers to optimize and streamline ML workflows, ensuring the delivery of high-quality products to our clients. This position offers the flexibility to work remotely from anywhere in the United States.

Join tvScientific as a Senior Machine Learning Engineer and be at the forefront of developing and deploying innovative machine learning solutions that drive advertising efficiency. Your expertise will contribute to building cutting-edge algorithms and systems that enhance our clients' marketing strategies.In this role, you will collaborate with cross-functional teams to translate business requirements into technical specifications, and develop scalable models that leverage large datasets. Your passion for machine learning and data science will help shape the future of advertising technology.

Join tvScientific as a Senior Quality Assurance Engineer and play a pivotal role in ensuring the quality and reliability of our innovative advertising technology solutions. You will collaborate with cross-functional teams to define testing strategies, develop automated tests, and enhance our testing frameworks.Your expertise will help us deliver high-quality software that meets and exceeds customer expectations. If you are passionate about quality assurance and looking to make a significant impact in a dynamic environment, we want to hear from you!

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

Join the vibrant team at tvScientific as an Account Manager, where you will be pivotal in driving client success within the gaming sector. Your role will involve building and nurturing client relationships, developing strategic account plans, and ensuring outstanding service delivery. Your insights and expertise will help shape our clients' advertising strategies and maximize their return on investment.

About tvScientific tvScientific is the pioneering CTV advertising platform meticulously designed for performance marketers. We connect game developers and publishers with extensive TV reach while providing precise User Acquisition (UA) metrics. Our platform, crafted by experienced ad-tech professionals, integrates media buying, optimization, and MMP attribution, empowering gaming brands to automate CTV campaigns, enhance app installs, and optimize Return on Ad Spend (ROAS). We invite you to join our dynamic team as a Sales Director, where you will spearhead client relationships and drive revenue growth while ensuring that our clients thrive on our innovative platform. As a Sales Director, you will utilize your expertise in performance marketing and digital advertising to showcase the value of our offerings. Your role will empower brands, companies, and agencies to fulfill their advertising goals through the transformative power of CTV. You will strategically manage named account lists (NALs) in your industry vertical to foster targeted engagement and revenue advancement.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

tvScientific is looking for a Staff Product Manager, Activation to focus on increasing user engagement and supporting product growth. This position is based in San Francisco, CA, with remote options available across the US. Role overview This role centers on leading initiatives that improve how users interact with the platform. The Staff Product Manager will work closely with teams across the company to identify opportunities for improvement and to implement changes that make a measurable impact. Collaboration and responsibilities Partner with engineering, design, and analytics teams to refine product features Use data insights to inform decisions and prioritize enhancements Contribute to shaping product strategy and the platform’s direction Impact This position plays a key role in influencing how the product evolves and in delivering a better experience for users. The work done here will help define the future of the tvScientific platform.

About daydreamAt daydream, we are revolutionizing the SEO landscape by developing the world's most advanced SEO agent, complemented by a team of top 1% human experts. Our goal is to manage organic search intricately, freeing our clients from the burdens of hiring specialized teams, evaluating multiple tools, or managing external agencies.In today's competitive environment, excelling in search demands the production of expert-level content at scale, alongside constant adaptation to shifts in ranking systems and user behavior. Traditional tools merely provide metrics without actionable insights, while agencies rely on cumbersome manual workflows that fail to generate compounding growth. Even well-resourced teams often find it challenging to translate sustained efforts into consistent results.daydream simplifies this landscape by consolidating fragmented tools and external vendors into a single coherent system that continuously plans and executes SEO strategies. Our SEO agent takes charge of analysis, planning, and content generation, while seasoned Growth Leads translate this work into actionable outputs—shipped pages, technical adjustments, and updated priorities—holding accountability for performance over time.We have successfully raised over $20M from notable investors including First Round Capital, Basis Set Ventures, WndrCo, and SOMA Capital, and our growth is supported by industry leaders from Notion, Airtable, Webflow, and Dropbox, such as Lenny Rachitsky and Eli Schwartz, author of Product-Led SEO.The TeamYou will collaborate closely with a dedicated, senior team across engineering, design, and growth:Shravan (CTO), who previously served as an Engineering Lead at Flixed and a Software Engineer at Facebook, focusing on large-scale web scraping for Facebook Jobs and Meta Reality Labs.Vishruth (Founding Applied AI Engineer), a former Data Scientist at Klaviyo specializing in NLP, with a robust research background from Cornell.Daniel (Founding Applied AI Engineer), who previously worked as a Data Engineer on Tesla’s Autopilot team, specializing in large-scale data systems and applied machine learning, and was formerly the Lead Data Engineer at Replit.Tom (Founding Designer), who led product design at Blockless and plays a significant role in UI engineering.You will also interact directly with Growth Leads, senior SEO practitioners who manage the system daily and provide invaluable feedback on AI performance in real-world applications.Your ImpactIn your role as a Staff Engineer at daydream, you will provide vital technical leadership across the product while remaining deeply engaged in hands-on execution. You will closely collaborate with the CTO to define system architecture, guide project execution, and elevate quality standards throughout the engineering organization.