Staff Data Engineer

Role OverviewDropbox is seeking a talented Staff Data Engineer to join our Analytics Data Engineering (ADE) team within the Data Science & AI Platform. In this role, you will tackle complex data challenges across various business lines while leading the initiative to standardize how we construct, deploy, and manage analytics pipelines at Dropbox.This is not a maintenance position. You will be at the forefront of modernizing our analytics platform, enhancing our orchestration infrastructure, creating shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and setting the groundwork for AI-driven data development. Collaborating closely with teams in Data Science, Data Infrastructure, Product Engineering, and Business Intelligence will be essential to your success.Your contributions will be pivotal in establishing analytics engineering standards, designing scalable data models, and ensuring cross-functional alignment on data governance. This role provides substantial exposure to senior leadership, allowing you to shape the technical direction of analytics infrastructure at Dropbox and significantly influence how data drives product and business decisions.

About UsAt Resonance, we are revolutionizing the fashion sector by fostering a more sustainable ecosystem for designers, brands, manufacturers, consumers, and the environment. Our innovative AI-driven platform, ONE, facilitates efficient and sustainable product design, sales, and manufacturing. By minimizing overproduction and unnecessary inventory, Resonance ONE is committed to reducing the environmental impact of garment creation.Headquartered in New York City and Santiago, Dominican Republic, Resonance collaborates with prominent brands, including THE KIT and Rebecca Minkoff, to achieve significant reductions in resource consumption: 97% less dye, 70% less water, and 50% less material compared to conventional fashion brands.About the RoleWe are on the lookout for a skilled Data and Analytics Engineer to construct, maintain, and expand our data infrastructure. In this pivotal role, you will enhance our analytical capabilities, allowing Resonance to utilize data-driven insights across our intricate technology ecosystem.Your responsibilities will include developing and maintaining efficient ELT pipelines to transform data from various sources—such as telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms—into structured, accessible datasets within Snowflake. Furthermore, you will create advanced LookML models to enable interactive analytics, dashboards, and explorations utilized daily by our business teams.Responsibilities Design, build, and sustain scalable ELT pipelines that reliably convert raw data from sources like Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Develop efficient and maintainable data models within Snowflake that underpin analytics, reporting, and data-driven decision-making. Create and refine LookML models to facilitate intuitive exploration, dashboards, and actionable analytics for non-technical business users. Work closely with product teams, engineers, and business stakeholders to identify data requirements, gather insights, and deliver impactful data solutions. Continuously enhance data quality, governance, and accessibility while implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay abreast of the latest data engineering technologies, methodologies, and analytics tools to ensure Resonance maintains industry-leading capabilities. RequirementsMinimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong expertise in building robust ELT/ETL data pipelines using contemporary tools and methodologies. Hands-on experience with Snowflake or comparable cloud data platforms....

Join our dynamic team at Dropbox as a Data Engineer specializing in Analytics Data Engineering. In this pivotal role, you will design and implement robust data pipelines that empower our analytics teams to derive insights and drive business decisions. You will work with cutting-edge technology and collaborate with cross-functional teams to ensure the integrity and efficiency of our data systems.

Join our dynamic team as a Staff Engineer in Data Science at Nagarro, where you will play a pivotal role in leveraging data analytics to drive impactful business decisions. As part of our innovative engineering department, you will be responsible for developing advanced data models and algorithms to enhance our operational performance and product offerings.

About the Company:FastSpring stands as the premier ecommerce platform for SaaS, software, gaming, and digital product companies. We facilitate over 10 million transactions annually, empowering the sales growth of more than 3,500 businesses across 200+ countries, utilizing every major currency. Our innovative culture, entrepreneurial spirit, and commitment to growth set us apart.We prioritize creating an inclusive work environment and invest in the professional development of our team members. Our team comprises developers, technologists, and business professionals who are globally-minded, customer-focused, and driven by innovation.Founded in 2005, FastSpring is a privately held company headquartered in Santa Barbara, with additional offices in Amsterdam, Austin, Belfast, and Halifax.The Position:FastSpring is seeking a Staff Data Engineer to act as the technical architect and driving force behind our next-generation data platform. In collaboration with the Senior Data Product Manager, you will develop the high-performance infrastructure necessary to transform hundreds of millions of rows of transactional data into actionable insights for our sellers.This pivotal role involves technical leadership and is responsible for designing and implementing a modern data warehouse strategy that fosters real-time product innovation. You will connect complex transactional systems with the analytical requirements of our global clientele.

Are you a passionate Data Engineer ready to join a dynamic team? At CampMinder, we are looking for a Staff Data Engineer who will play a critical role in shaping our data infrastructure and analytics capabilities. You will collaborate closely with cross-functional teams to design, build, and maintain data pipelines that support our business goals. If you thrive in a fast-paced environment and are eager to work with advanced data technologies, we want to hear from you!

Veeam is recognized as the Data and AI Trust Company, dedicated to empowering organizations to gain a comprehensive understanding of their data and AI, ensuring they are secure and resilient to facilitate the safe scaling of AI technologies. As a frontrunner in data resilience and security posture management, Veeam is expertly positioned at the intersection of identity, data, security, and AI risk management. With its headquarters in Seattle and a presence in over 30 countries, Veeam safeguards the operations of more than 550,000 customers globally, who rely on us to keep their businesses thriving. Join us in our fearless journey forward, as we grow, learn, and make a significant impact for some of the most prominent brands in the world.About the RoleWe are seeking a talented Analytics Engineer to become a vital part of our internal Data Management team, enhancing data-driven decision-making throughout the organization. In this pivotal role, you will be responsible for designing and maintaining scalable data models, pipelines, and transformation processes that are essential for analytics, reporting, and data science initiatives. You will work in close collaboration with analysts, data scientists, and engineering teams to ensure the data is reliable, efficient, and structured to support valuable business insights and strategic objectives.What You’ll DoDesign scalable and dependable data marts and transformation processes to meet analytics and reporting requirements.Collaborate with data analysts, data scientists, and business stakeholders to comprehend data requirements and convert them into effective data solutions.Develop optimized data models and schemas that facilitate efficient storage, retrieval, and analysis of large datasets.Create ETL and ELT pipelines that transform raw data from diverse sources into structured datasets for analytics and reporting.Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems.Monitor data pipelines and systems to troubleshoot issues and identify areas for enhancement.Document data architectures, flows, and processes to promote transparency, collaboration, and maintainability.

Join our dynamic team at Louis Dreyfus Company as a Data Engineer specializing in Data & Analytics. In this role, you will leverage your technical skills to design, develop, and maintain robust data pipelines that will empower our analytics capabilities and support data-driven decision making across the organization.Your contributions will directly influence our business strategies and operational efficiency, paving the way for innovative solutions in a fast-paced environment.

Join Checkr as a Staff Data Engineer, where you will play a pivotal role in enhancing our data infrastructure. Collaborate with cross-functional teams to design data pipelines that support our mission of creating a fairer future through technology. Your expertise will help shape the data landscape, ensuring we provide our clients with valuable insights and operational efficiency.

Tiger Analytics stands as a frontrunner in AI and advanced analytics consulting, dedicated to enabling Fortune 1000 companies to tackle their most significant business challenges. Our mission is to redefine the potential of AI, delivering data-driven insights for a more promising future. With a diverse team of over 6,000 technologists and consultants spanning five continents, we are at the forefront of developing innovative ML and data solutions at an extensive scale. Join us to contribute to impactful work and influence the landscape of enterprise AI.Are you passionate about creating and innovating within the technology sector? Do you thrive on resolving complex business challenges within a dynamic, collaborative, and inclusive environment? At Tiger Analytics, you will join a vibrant community of creators, innovators, and problem-solvers dedicated to fulfilling real customer needs. We are looking for Data Engineers who are enthusiastic about integrating data with cutting-edge technologies.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.

About FaireAt Faire, we are reshaping the future of local commerce through our innovative online wholesale marketplace. We empower independent retailers worldwide, who collectively generate more revenue than giants like Walmart and Amazon, yet often struggle to compete individually. By leveraging cutting-edge technology, data, and machine learning, we connect a vibrant community of entrepreneurs, helping them discover unique products to enhance their offerings. Our mission is to provide these businesses with the tools and insights needed to thrive in a competitive landscape dominated by large corporations.By fostering the growth of independent businesses, Faire drives positive economic change in local communities globally. We seek driven, smart, and passionate individuals who share our commitment to supporting local economies. If you value community and innovation, we invite you to join our dynamic team.About This RoleAs a member of our Engineering team, you will play a pivotal role in building the software that powers our marketplace. The Platform group provides essential support to various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, and Finance, allowing them to excel without worrying about the underlying infrastructure. We prioritize rapid development and high-quality software, upholding best practices in engineering, security, maintainability, and scalability to serve millions of users effectively.In this position, you will be a key technical leader in the data domain, influencing multiple Platform and Product teams.Within the Platform group, you will collaborate with:The Data Infrastructure team, responsible for creating a secure, reliable, and cost-efficient platform for data ingestion, storage, computation, orchestration, and governance.The Analytics Platform team, which develops robust data warehousing capabilities and foundational data assets to facilitate swift, data-driven analytics.This role also involves engaging with technology infrastructure vendors and interacting with all data and analytics functions at Faire, ensuring the seamless integration of product analytics engineering for actionable insights.

dv01 is revolutionizing the largest financial market globally: structured finance, a $16+ trillion industry that supports essential activities like credit card debt consolidation, student loan refinancing, home purchases, and small business startups.Our cutting-edge data analytics platform enhances transparency in investment performance and risk assessment for lenders and Wall Street investors engaged in structured products. As a data-centric organization, we manage vital loan data and develop advanced analytical tools that facilitate informed decision-making for responsible lending. Our mission is to avert a recurrence of the 2008 global financial crisis by equipping stakeholders with the insights and resources necessary to make prudent, data-driven choices, contributing to a safer financial ecosystem for everyone.With over 400 of the largest financial institutions relying on dv01 for our extensive coverage of more than 75 million loans—including mortgages, personal loans, auto financing, buy-now-pay-later schemes, small business loans, and student loans—we continuously expand into new markets, adding loans monthly and innovating technology for the structured products landscape.

Embark on an adventure with Ventura TRAVEL – a collection of specialized travel brands dedicated to inspiring the explorer in everyone! As part of our Data team, we strive to empower our members with precise data and proactive insights, enabling informed decisions. We are in search of a dependable and proactive Analytics Engineer to enhance our digital marketing analytics framework. You will design, develop, and manage comprehensive data solutions—from collection and integration to modeling and reporting—to support our mission of fostering sustainable tourism globally. You will report directly to our Data Manager and collaborate within a dynamic international IT Department, surrounded by talented, compassionate, and passionate individuals. Your daily responsibilities will include: Connecting to and collecting data from various sources and APIs. Addressing data processing challenges and transforming stakeholder needs into robust, scalable solutions. Utilizing analytics tools to enhance our web presence and improve acquisition performance. Creating and maintaining dashboards and visualizations that effectively communicate insights to stakeholders. Ensuring data quality through validation, testing, and thorough documentation. Collaborating with marketing and other teams globally, enhancing your skills and perspective through the development of end-to-end data solutions. Qualifications you bring to the table: Strong experience with SQL and Python for data processing. Familiarity with Git for version control. Confidence in using AI tools to enhance efficiency. Solid skills in data visualization and reporting. Practical experience with web and marketing analytics tools, such as Google Analytics and Google Tag Manager. Professional communication skills in English (both written and spoken). A collaborative mindset, capable of gathering requirements and communicating with non-technical stakeholders. You can further impress us with: Experience with BigQuery and Looker Studio. Exposure to Machine Learning or Data Science projects. What we offer you: Engaging tasks and objectives. Creative freedom in achieving results. A supportive and inclusive work environment.

About Our TeamThe Applied team at OpenAI is dedicated to collaborating across research, engineering, product, and design disciplines to effectively deliver cutting-edge AI technology to both consumers and businesses. Our mission is to learn from real-world deployments, ensuring that the benefits of AI are distributed equitably while prioritizing responsible and safe use of this powerful technology. Here, safety takes precedence over unchecked growth.About the Role:We are on the lookout for a Senior Data Engineer to spearhead the development of our data pipelines and foundational data tables at OpenAI. These pipelines are essential for driving analyses, enhancing safety systems that inform business decisions, fostering product growth, and mitigating risks from malicious actors. If you have a passion for data and a desire to create impactful solutions, we want to hear from you! This role also offers the chance to work closely with the innovative researchers behind ChatGPT, assisting them in training new models for user delivery. As we continue to expand rapidly, we place immense value on data-driven insights, and your contributions will be crucial to our ongoing success. Join us in shaping the future of AI!Your Responsibilities Will Include:Designing, building, and maintaining our data pipelines, ensuring seamless integration of user event data into our data warehouse.Creating canonical datasets that track vital product metrics such as user growth, engagement, and revenue.Collaborating with diverse teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and deliver effective solutions.Implementing robust, fault-tolerant systems for data ingestion and processing.Participating in architectural and engineering decisions related to data management, leveraging your extensive experience.Ensuring data security, integrity, and compliance with industry standards and company policies.You Will Excel in This Role If You:Possess 3+ years of experience as a data engineer and at least 8 years in software engineering (including data engineering).Have proficiency in at least one programming language relevant to Data Engineering, such as Python, Scala, or Java.Bring experience with distributed processing technologies and frameworks like Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).Are well-versed in ETL schedulers such as Airflow, Dagster, Prefect, or similar tools.

Become a part of Ventura TRAVEL – an innovative collective of specialized travel brands dedicated to igniting the adventurer within everyone! Our Data team is committed to empowering our vMembers with precise data and proactive insights that facilitate data-driven decision-making. We are on the lookout for a dependable and proactive Data Analytics Engineer to enhance our digital marketing analytics capabilities. You will be responsible for establishing and maintaining comprehensive data solutions—from data collection and integration to modeling and reporting—that promote sustainable tourism globally. Reporting directly to our Data Manager, you will collaborate within an expanding international IT department, working alongside other talented, caring, and passionate individuals. Your Daily Responsibilities Include: Connecting to and extracting data from various sources and APIs. Addressing data processing challenges, transforming stakeholder requirements into robust and scalable data solutions. Utilizing analytics tools to improve our online presence and acquisition performance. Designing and maintaining dashboards and visualizations that effectively convey insights to stakeholders. Ensuring data integrity through validation, testing, and documentation. Collaborating with marketing and other global teams, enhancing your skills through comprehensive data solution development. Essential Qualifications: Proven expertise in SQL and Python for data processing. Familiarity with Git for version control. Confidence in utilizing AI tools to enhance efficiency. Solid skills in data visualization and reporting. Practical experience with web and marketing analytics tools, such as Google Analytics and Google Tag Manager. Effective professional communication skills in English (both written and spoken). A collaborative mindset capable of gathering requirements and communicating with non-technical stakeholders. Additional Qualifications That Would Make You Stand Out: Experience with BigQuery and Looker Studio. Familiarity with Machine Learning or Data Science projects. What We Offer: Engaging tasks and objectives. Creative freedom to achieve results. A supportive and inclusive work environment.

Founded in 2007 when two hosts welcomed three guests into their San Francisco home, Airbnb has evolved into a global community of over 5 million hosts, facilitating more than 2 billion guest arrivals across nearly every country. Our hosts provide unique stays and experiences, allowing guests to forge authentic connections with diverse communities.Join Our Community:At Airbnb, our Foundational Data team is dedicated to creating and maintaining high-quality datasets that serve as the backbone for various operations across the organization. We establish company-wide standards that define how locations are categorized, how visitor traffic is analyzed, and how cloud costs are allocated. This critical data informs public financial reports, shapes strategic marketing initiatives, and helps manage operational expenses. By working collaboratively with cross-functional teams, you will be positioned to drive substantial business outcomes.Your Impact:As a Senior Staff Analytics Engineer, you will play a pivotal role in shaping our data strategy while providing advanced technical mentorship and leadership to your peers. We seek an individual with a strong background in data modeling, metric development, and experience with large-scale distributed data processing frameworks such as Presto or Spark. Utilizing our state-of-the-art data tools, you will empower both technical and non-technical teams to leverage data-driven insights for informed decision-making. Staff engineers are expected to operate with a high degree of autonomy, and we value innovative thinkers who are committed to finding smarter, more efficient solutions while effectively managing daily operations and meeting deadlines.Daily Responsibilities:Create high-quality data assets that address a diverse range of business needs.Develop frameworks and tools that enhance insight generation to meet essential business and infrastructure demands.Build and nurture strong partnerships with fellow data professionals throughout Airbnb.Influence data-driven decision-making processes.Enhance trust in our data by advocating for quality across the data lifecycle.Contribute to best practices for event logging instrumentation and participate in architectural designs.

Tiger Analytics is a rapidly expanding advanced analytics consulting firm that specializes in delivering exceptional insights through Data Science, Machine Learning, and Artificial Intelligence. Our team possesses profound expertise, making us a trusted analytics partner for numerous Fortune 500 companies, empowering them to derive substantial business value from their data. Our leadership and contribution to the analytics field have been recognized by prominent market research firms such as Forrester and Gartner. We are on the lookout for outstanding talent to enhance our global analytics consulting team.As a Lead Data Engineer, you will play a pivotal role in architecting, constructing, and sustaining scalable data pipelines within the AWS cloud ecosystem. You will collaborate with diverse teams to facilitate data analytics, machine learning, and business intelligence projects. The ideal candidate will bring extensive experience with AWS services, Databricks, and Apache Airflow.

Pelago is the premier virtual clinic dedicated to Substance Use Management, offering tailored support and treatment for individuals striving to overcome tobacco, alcohol, and opioid dependencies. Our personalized approach addresses unhealthy habits and active substance use disorders, catering to each member's unique health profile, lifestyle, genetics, and aspirations. Our comprehensive suite of virtual services includes educational resources, cognitive behavioral therapy (CBT), and extensive medication-assisted treatment (MAT). Pelago empowers employers and health plans to provide accessible, cost-effective, and effective treatment options for substance misuse. Having scaled our operations to assist hundreds of employers and health plans, we have positively impacted the lives of over 750,000 members in managing their substance use. With our recent Series C funding round, raising over $151 million from top-tier global investors, we invite you to join our mission to enhance the health of individuals everywhere!About Pelago Data:The Data team at Pelago plays a pivotal role in decision-making as we continue to grow. As we evolve our data capabilities, we aim to transform raw data into actionable business insights.We specialize in converting complex healthcare and product data into structured, reliable, and thoroughly documented models that drive reporting, experimentation, AI initiatives, and everyday decision-making throughout the organization.Overview of the Role:We are in search of an Analytics Engineer who is passionate about constructing scalable data models, deeply analyzing business logic, and creating reusable data assets.In this position, you will influence how data is organized and defined at Pelago, ensuring consistency, quality, and usability across various applications—from dashboards to experiments to future machine learning projects.