Senior Product Manager, Data Engineering

Join Databricks as a Senior Product Manager in Data Engineering!At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world, from revolutionizing transportation to advancing medical innovations. We accomplish this by creating and operating the premier data and AI infrastructure platform, allowing our …

Senior Software Engineer - Data AcquisitionOverview:Join the dynamic Data Acquisition team at OpenAI, where we spearhead the data collection efforts essential for powering our advanced model training operations. Our team plays a pivotal role in managing web crawling and GPTBot services, collaborating closely with Data Processing, Architecture, and Scaling teams. We are seeking a talented Senior Software Engineer to enhance our Data Acquisition initiatives.Key Responsibilities:Lead engineering projects focused on data acquisition, including web crawling, data ingestion, and search optimization.Collaborate effectively with cross-functional teams to maintain seamless data flow and system performance.Engage with the legal team to navigate compliance and data privacy regulations.Design and implement robust distributed systems capable of processing petabytes of data.Develop algorithms for efficient data indexing and search functionalities.Build and sustain backend services for data storage, including experience with key-value databases and data synchronization.Deploy solutions in a Kubernetes Infrastructure-as-Code environment while conducting regular system audits.Conduct experiments on data to derive insights that drive system enhancements.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related discipline.A minimum of 6 years of professional experience in software development.Prior experience with large-scale web crawlers is a significant advantage.In-depth knowledge of large stateful distributed systems and data processing techniques.Expertise in Kubernetes and familiarity with Infrastructure-as-Code practices.A proactive approach to exploring new technologies and methodologies.Strong ability to juggle multiple tasks and adapt to changing priorities.Excellent communication skills, both written and verbal.About OpenAI:OpenAI is at the forefront of artificial intelligence research and deployment, dedicated to ensuring that the benefits of general-purpose AI are shared by all of humanity. We strive to push the boundaries of innovation while adhering to ethical standards.

About the OpportunityAs a Senior Data Engineer at Hinge Health, you will take the lead on developing and maintaining the data architecture that drives real-time experiences for our users. You will be responsible for constructing and optimizing data pipelines that aggregate data from numerous upstream services, including Kafka event streams and transactional databases, into a cohesive data platform that supports both real-time APIs and analytical tasks on Databricks. Your contributions will directly support AI-driven coaching assistants and physical therapy applications utilizing real-time member data, including engagement logs and clinical information, to provide tailored recommendations. This role places you at the crossroads of data engineering and artificial intelligence, constructing the dependable, low-latency data infrastructure essential for these systems.You will engage with a cutting-edge tech stack: employing Python, Flink, and PySpark for pipeline development, Kafka for event streaming, Delta Lake for scalable data storage, and Aurora PostgreSQL for operational data management.This role emphasizes high ownership. You will collaborate closely with application engineers, data scientists, and AI teams across the organization to define the data flow from its inception to its consumption. Furthermore, you will assist in establishing standards and practices that empower product teams to manage their own data in a HIPAA-compliant environment. If you are passionate about creating the data infrastructure that underpins AI systems impacting health outcomes, we encourage you to apply.Our technology stack includes: Python, SQL, dbt, Airflow, PostgreSQL, MySQL, REST, Aptible, Docker, Tonic.ai, Terraform, Spark, Kafka, Flink, Fivetran, Databricks, and AWS (S3, Lambda, Kinesis, RDS, Glue).Key ResponsibilitiesDesign and construct the data architecture for AI-enhanced health solutions - You will build and oversee data pipelines that cover both streaming and batch processes, from data ingestion to serving. This includes creating ingestion layers that pull data from Kafka event streams and transactional databases, executing transformations using Flink, Databricks, and dbt, and making informed decisions about the placement and purpose of transformations. You will manage pipelines across the entire stack: from raw ingestion to normalized staging, aggregated analytical models, and the serving layer relied upon by downstream consumers including real-time APIs, BI tools, and AI applications. You will establish data contracts, oversee schema evolution, and ensure the data you deliver is well-documented and reliable for others to utilize.Maintain platform reliability and data integrity - Define and monitor SLAs (Service Level Agreements) to ensure system performance and data quality.

Join our team as a Senior Software Engineer focused on our Data Platform at Gusto. In this role, you will leverage your expertise in designing and building scalable data systems that drive business decisions and enhance our platform's capabilities. Your contributions will directly impact our ability to deliver exceptional services to our customers.You will collaborate with cross-functional teams, ensuring that our data architecture is robust, efficient, and aligned with our business goals. If you are passionate about data engineering and are looking for a place to innovate and grow, we want to hear from you!

Role overview Chime seeks a Senior Software Engineer for the Data Platform team based in San Francisco, CA. This position centers on building and enhancing the systems behind Chime’s data infrastructure. The work directly supports Chime’s goal of helping members achieve financial peace of mind. What you will do Design, build, and maintain scalable data pipelines that form the backbone of Chime’s data operations Collaborate with colleagues across engineering, product, and analytics to deliver reliable data solutions Help ensure data integrity and strong system performance as Chime’s user base and data needs expand

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.

Rocket Money supports millions of people in making smarter financial decisions. The platform provides members with clear financial insights and tools designed to save both time and money. Team focus The Data Platform team builds and maintains the core systems behind Rocket Money’s data-driven products. This group develops and supports infrastructure for collecting, processing, and delivering data to teams across analytics, machine learning, and software engineering. Engineers here work closely with other groups to ensure accurate data capture, resilient pipelines, and reliable self-service access for stakeholders. As the team grows, there is a shift toward formalizing standards and practices that will scale. Current tools include dbt, BigQuery, and Terraform, but the emphasis is on shaping architecture and defining how Rocket Money manages data for the future. Autonomy is high, but collaboration remains central as the platform evolves. What you will do Own the data platform infrastructure from end to end, focusing on security, usability, and performance. Collaborate with analytics, machine learning, and software engineering teams to support their data needs. Help guide decisions on data tooling, pipeline design, and governance. Create user-friendly interfaces that promote best practices across the team. Work proactively to improve data reliability by identifying and addressing issues at their source. Who succeeds here This role suits engineers who bring structure to ambiguity, balance stakeholder needs, and manage technical debt. The team values those who make informed choices, take ownership, and contribute to a collaborative environment. Locations Open to candidates in San Francisco, CA; Washington, D.C.; New York City, NY; Detroit, MI; Phoenix, AZ; Miami, FL; and Denver, CO.

About Us:At Parafin, our mission is to empower small businesses, the backbone of our economy. Traditional banks often overlook their needs, but we provide technology that simplifies access to essential financial tools directly through the platforms they already use for sales. We collaborate with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody to deliver fast and flexible funding, spend management, and savings tools seamlessly integrated into their services. By handling the complexities of capital markets, underwriting, servicing, compliance, and customer support for our partners, we enable small businesses to thrive.Our team is composed of innovators from top companies including Stripe, Square, Plaid, Coinbase, and Robinhood. Together, we share a passion for developing tools that drive success for small businesses. Backed by notable venture capitalists like GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin is a Series C company that has successfully raised over $194 million in equity and $340 million in debt facilities.Join us in creating a future where every small business has access to the financial resources they need to succeed.About the Position:We are seeking an experienced software engineer to join Parafin’s Infrastructure team and take the lead in developing our next-generation Data Platform. This pivotal role ensures that our data infrastructure remains reliable, scalable, and user-friendly, as we continue enhancing financial services for small businesses.As a Senior Software Engineer, your responsibilities will include designing, building, and maintaining systems for data ingestion, transformation, and delivery across the organization. You will closely collaborate with Data Science, Platform Engineering, and Product Engineering teams to facilitate data-driven product development and informed decision-making.What You’ll Do:Design and construct robust, highly scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow on AWS.Enhance the data platform development experience for Engineering, Data Science, and Product teams by creating intuitive abstractions, self-service tools, and comprehensive documentation.Manage and uphold core data pipelines and models that support internal dashboards, machine learning models, and customer-facing products.Oversee the Data & ML platform infrastructure via Terraform, including full administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high reliability.

The OpportunityAt Enigma, we are at a pivotal moment of growth, receiving enthusiastic feedback from our clients regarding the substantial value our product provides. This feedback drives our urgent need to effectively present the capabilities of our small business data as we expand our sales and marketing efforts.The RoleWe are seeking a skilled Senior Software Engineer to join our dynamic API and Data Delivery Team. In this position, you will be instrumental in designing, constructing, and maintaining essential systems for processing and delivering vast datasets, collaborating with both teammates and clients to address impactful, real-world challenges.What You’ll DoDevelop scalable, highly available, and high-throughput systems deployed in cloud environments.Tackle challenges involving containers, cloud infrastructure, and infrastructure as code (primarily using Docker, AWS, and Terraform).Exhibit a proactive attitude that embraces challenges, regardless of their size.Take pride in writing clean, well-tested, and maintainable code.Thrill in collaborating as part of a motivated and cohesive team.Identify and address problems that may go unnoticed by others.Be driven to create tangible impacts for our customers.Inspire your colleagues to excel while fostering a collaborative and supportive team culture.Manage responsibilities related to architecture, design decisions, hands-on implementation, team organization, and technical mentorship.What Makes This Role Exciting?Impact: Your technical expertise and decision-making will directly influence our customers and the success of our product, affecting critical choices at multi-billion dollar firms.Technical Challenge: Engage with cutting-edge technologies surrounding databases, information retrieval, distributed systems, microservices, elastic scaling, data pipelines, and more.Ownership: The API & Data Delivery team is addressing some of the world's most complex challenges. The ideal candidate is an engineer eager to expand their responsibilities and collaborate with the team to create significant technical and business impacts.

Role overview Chime’s Data Engineering team develops the systems that power data-driven decisions across the company. Senior Data Engineers play a key role in designing and implementing scalable data pipelines and frameworks, making sure analytics remain reliable and well-governed. This work supports teams across Chime as they build new capabilities and improve how data informs business choices. What you will do Build and maintain scalable data pipelines and frameworks to support analytics Create solutions that keep data accessible, accurate, and governed Design workflows for analytics and reporting used throughout the organization Help shape data engineering practices that can influence fintech standards Compensation and benefits The base salary for this Senior Data Engineer position ranges from $164,000 to $227,000. Full-time employees are also eligible for bonuses, equity options, and a comprehensive benefits package. Final salary depends on skills, qualifications, and experience.

About UsAt Imprint, we are transforming the landscape of co-branded credit cards and financial products to be more innovative, rewarding, and brand-centric. We collaborate with distinguished companies such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch contemporary credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our platform seamlessly integrates advanced payment infrastructure, intelligent underwriting, and a user-friendly experience, enabling brands to offer impactful financial products without the need to operate as a bank.Co-branded cards represent over $300 billion in annual spending in the U.S., yet many are still reliant on outdated banking systems. Imprint stands out as the modern alternative: adaptable, technology-driven, and tailored for today’s consumers. Supported by renowned investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a top-tier team to revolutionize payment methods and foster brand growth. If you're eager to work in a dynamic environment, tackle challenging problems, and make a significant impact, we invite you to join us.Our TeamThe Data Engineering team at Imprint is tasked with developing and expanding the data infrastructure that underpins product innovation, analytics, operations, and machine learning throughout the organization. We are responsible for creating the pipelines, platforms, and processes that enable our stakeholders to trust and leverage data effectively.We are seeking a Data Engineer to advance our modern data architecture and deliver dependable, scalable data solutions. Your contributions will directly influence decision-making and innovation across various business areas—from financial operations to real-time personalization.

Role overview Oura Health seeks a Senior Data Engineer for its Data & ML Platform team. This hybrid role is based in San Francisco, California. The focus is on designing and building data solutions that enable machine learning projects and enhance analytics across the company. What you will do Create and maintain data architecture to support analytics and machine learning efforts Develop and refine ETL processes and data pipelines Work closely with teams throughout Oura Health to strengthen data-driven decision making Handle data modeling and data warehousing to ensure systems scale and perform reliably Requirements Proven experience building and maintaining data platforms for analytics and machine learning Strong background in data modeling, ETL, and data warehousing Interest in health technology and a desire to create impact through data Comfort working with cross-functional teams

Join Amplitude as a Senior Software Engineer, specializing in Data Management. In this pivotal role, you will lead the development and optimization of our data management systems, ensuring scalability, efficiency, and reliability. Your expertise will help shape the future of data-driven decision-making within our organization.

About AirOpsAirOps is pioneering the first comprehensive content engineering platform designed for the AI era. As the landscape of discovery transitions from traditional search to AI-driven platforms, we empower brands to enhance their visibility and maintain relevance. Our recent phase of rapid growth has seen a remarkable 5x increase in revenue over the past year, supporting marketing teams at renowned organizations like Ramp, Chime, Carta, and Rippling to transform content quality into a sustainable competitive edge.Our innovative platform enables marketers to adeptly navigate the evolving discovery landscape, identify high-impact opportunities, and generate precise, on-brand content that garners citations from AI and earns human trust. With backing from esteemed investors such as Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are dedicated to building intelligent systems that will empower the next generation of marketing leaders. AirOps has its headquarters in San Francisco, New York, and Montevideo.About the RoleAt AirOps, we operate at the convergence of AI and brand intelligence, processing millions of AI-generated responses daily across all major AI providers. Our data platform is experiencing exponential growth: currently processing 2 million answers each day, with an increase of hundreds of thousands monthly, as new providers and product features come online regularly. The data engineering decisions you make today will directly influence our product tomorrow. You will take charge of the pipelines, ingestion infrastructure, and data quality systems that underpin everything our customers interact with. As we establish a dedicated data team for the first time, the frameworks you create will shape the operational patterns of this function for years to come. You will engage with technologies such as ClickHouse, distributed ingestion pipelines, and a multi-provider scraping stack, with significant responsibility for ensuring reliability and accuracy. If you are eager to work on data that is central to our product rather than merely internal tools, this is the opportunity for you.

Join our innovative team at Lever, where we are reimagining the recruitment landscape! As a Senior Data Engineer, you will play a pivotal role in developing our cutting-edge hiring software, which is trusted by industry leaders like Netflix, Shopify, and Cirque du Soleil. Your expertise will help us continue to push the boundaries of talent acquisition technology.Lever, founded a decade ago, addresses one of the most critical challenges companies face: attracting and hiring premier talent. Recognized as the #1 workplace in San Francisco and a top employer nationwide, we take pride in our people-first culture, investing in our team members – our greatest asset. If you're passionate about shaping the future of hiring, we want to hear from you!

Discord connects over 200 million users each month for various activities, with a significant focus on gaming. Over 90% of our community engages in gaming, collectively spending 1.5 billion hours playing thousands of unique titles on our platform monthly. As we look toward the future, Discord aims to enhance the gaming experience by facilitating seamless communication and social interaction before, during, and after gameplay.We are in search of a highly skilled Senior Software Engineer to join our innovative team. In this pivotal role, you will design, develop, and maintain our data infrastructure and services. You will collaborate with cross-functional teams including data engineers, data scientists, software engineers, and product managers to implement cutting-edge solutions that promote business insights and innovation. This position reports directly to the Director of Engineering, Data Platform.To explore more about Discord’s Data Platform, check out our engineering blog — including how we built our modern data stack leveraging open-source tools!

Join DoorDash, a leader in the on-demand delivery industry, as we harness the power of data to drive transformative business and product decisions. Our Core Data Platform team is at the forefront of building an operationally efficient analytical data stack that supports our rapid growth.About Our TeamAt DoorDash, we pride ourselves on being a data-centric organization. The Core Data Platform team is responsible for developing the infrastructure that enables us to leverage timely and accurate data for critical insights. We design and operate scalable compute and ingestion frameworks powered by cutting-edge technologies like Spark, Flink, Kafka, Airflow, and innovative lakehouse solutions.About the RoleThis role offers a unique opportunity to contribute to a high-impact team that shapes the future of data at DoorDash. As a Software Engineer, you'll help design and implement frameworks that facilitate data mobility, ingestion, and governance. You'll also play a vital role in setting and maintaining data quality and compliance standards, ensuring that our analytics remain trustworthy and effective. If you're passionate about building systems that drive real-time insights and personalization, we want to hear from you!Your Excitement for This OpportunityLead the vision and strategy for developing scalable frameworks to meet the demands of our growing business.Enhance our analytical platform to handle increasing data volumes and diverse use cases.Utilize your expertise in building and operating high-scale systems with a focus on reliability, scalability, and cost efficiency.Collaborate with stakeholders to create innovative solutions on top of our platform.Contribute to a positive and inclusive work culture, mentoring and uplifting your peers.Your QualificationsB.S., M.S., or PhD in Computer Science or a related field.2+ years of experience at the I4 level, or 5+ years at the I5 level in software engineering.Proven experience in big data technologies (streaming, batch processing, data lakes, OLAP) and promoting real-time data insights.

Are you ready to push the boundaries of your capabilities?At Coinbase, our vision is to enhance economic freedom globally. This ambitious endeavor requires our utmost dedication as we develop the future on-chain platform and, consequently, the global financial system of tomorrow.We are in search of a unique individual who shares our passion for this mission and recognizes the transformative potential of cryptocurrency and blockchain technology in revolutionizing finance. We seek someone who is driven to make a significant impact, thrives under pressure, and values constructive feedback for continuous improvement. If you are eager to confront complex challenges head-on, we want you on our team.Our work culture is rigorous and may not suit everyone. However, if you aspire to shape the future alongside exceptional colleagues who demand excellence, look no further.While many positions at Coinbase allow for remote work, we are not exclusively remote. In-person participation is encouraged throughout the year, with multiple team and company-wide offsite events designed to foster collaboration and alignment. Attendance is both expected and fully supported.At Coinbase, our quest for economic freedom necessitates not only outstanding products but also a robust data foundation. The Data Platform team serves as the backbone of Coinbase’s data infrastructure, ensuring reliability, speed, and accessibility at scale. This critical support enables everything from fraud detection and financial reporting to the advanced AI and ML systems that will define Coinbase's future.The RoleWe are seeking a visionary and hands-on Senior Staff Software Engineer to define and steer the technical strategy for Coinbase’s Data Platform. This pivotal role sits at the intersection of distributed systems, data engineering, and AI preparedness, offering a rare opportunity to build significant infrastructure within one of the most influential companies in the crypto space.Reporting to the Senior Director of Engineering for Data Platform, you will take on the role of the domain's foremost technical leader. You will set the architectural vision, mentor emerging engineering talent, drive multi-quarter roadmaps, and play a crucial role in transitioning Coinbase from a collection of managed data services into a scalable, cohesive data platform. This position provides considerable autonomy and is expected to have a far-reaching impact across various cross-functional teams and the broader Infrastructure organization.

About GridwareGridware, headquartered in San Francisco, is at the forefront of technology aimed at safeguarding and enhancing the electrical grid. We have innovated an advanced category of grid management known as Active Grid Response (AGR), which meticulously monitors the electrical, physical, and environmental elements impacting grid reliability and safety. Our sophisticated AGR platform utilizes high-precision sensors to identify potential issues early, facilitating proactive maintenance and fault mitigation. This holistic strategy not only bolsters safety but also minimizes outages and optimizes the grid's operational efficiency. Supported by prominent climate-tech and Silicon Valley investors, we are committed to making a significant impact in the energy sector. For further insights, please visit www.Gridware.io.Role OverviewAs a Senior Data Engineer at Gridware, your mission will be to architect and enhance the data infrastructure that fuels our cutting-edge real-time grid monitoring platform. You will develop high-performance data pipelines that transform extensive streams of sensor and telemetry data into actionable insights, enabling the detection of faults, forecasting of failures, and fortifying the grid that serves entire communities.

Superhuman embraces a vibrant hybrid work model, offering team members a blend of focused work and collaborative in-person interactions that cultivate trust, innovation, and a robust company culture. Team members in this role should be located in San Francisco or New York City. About SuperhumanSuperhuman, home to Grammarly, is an innovative AI productivity platform dedicated to unlocking the extraordinary potential in everyone. Our suite of applications seamlessly integrates with over one million tools and websites, featuring Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that delivers contextual help automatically. Founded in 2009, Superhuman empowers over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, helping them eliminate busywork and focus on what truly matters. Discover more at superhuman.com and learn about our values here.The OpportunityWe are on the lookout for a Senior Engineer to join our Data Platform team, tasked with constructing an exceptional data platform. Superhuman’s success hinges on our capacity to efficiently process 60 to 70 billion daily events, utilizing our systems to enhance our product. This role offers a unique chance to engage in all facets of developing complex software systems, including shaping strategy, defining architecture, and executing deployments to production.Our engineers and researchers enjoy the freedom to innovate and make impactful contributions to our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the complexity of our technical challenges is rapidly increasing. Dive deeper into our team's insights on our technical blog.OverviewAs a Software Engineer on the Data Platform team, you will be instrumental in defining the architecture and technical strategy for our data platform, ensuring scalability, security, and efficiency across our data engineering systems. You will design and spearhead the implementation of robust, scalable, and dependable systems that manage high volumes of data, facilitating both product features and data-driven decision making across the organization. Your responsibilities will encompass areas such as real-time data processing and ETL (Extract, Transform, Load).