Data Analytics Engineer

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.

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....

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.

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.

As a rapidly expanding advanced analytics consulting firm, Tiger Analytics specializes in leveraging Data Science, Machine Learning, and AI to empower Fortune 100 companies. Our team is recognized for delivering significant business value through data-driven insights, earning accolades from leading market research firms, including Forrester and Gartner. We are on the lookout for exceptional talent to further enhance our world-class analytics consulting team.We invite you to join our innovative data team as an experienced Data Engineer. In this pivotal role, you will design, construct, and uphold scalable data pipelines, integration processes, and data infrastructure on Amazon Web Services (AWS). Collaborating with our data scientists, analysts, and AI specialists, you will contribute to analytics, machine learning, and Generative AI initiatives throughout our organization.

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.

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.

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.

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.

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.

Tiger Analytics is a leading advanced analytics consulting firm that partners with numerous Fortune 1000 companies to unlock the potential of their data and generate substantial business value. Our team of consultants is equipped with extensive expertise in Data Science, Machine Learning, and Artificial Intelligence, ensuring that we remain at the forefront of the analytics industry. Our commitment to delivering impactful insights has garnered recognition from prestigious market research firms such as Forrester and Gartner.We are in search of a passionate Data Analyst with practical SQL skills and a robust understanding of data architecture. In this role, you will empower stakeholders through sophisticated reporting and analytics, whether by crafting innovative solutions or aligning business processes with data insights. Your analytical prowess will be critical in revealing connections within complex data sets, and your ability to simplify technical concepts will resonate with diverse audiences.OverviewAs a Materials Data Analyst, you will be instrumental within our Sustainability and Materials Analytics team. Your primary responsibility will be to provide actionable data and insights that enhance the efficiency and effectiveness of the Materials Supply Chain, ensuring optimal alignment of supply with demand.ResponsibilitiesIncorporate and integrate materials metrics into data products to facilitate informed materials development decisions.Collaborate with data owners and technical teams to expose, cleanse, and shape data for seamless integration into operational decision-making systems and dashboards.Deliver ad-hoc reporting and insights that bolster internal strategy and enhance stakeholder communications.Establish and promote best practices concerning reporting processes and data management to enhance analytics and forecasting.Implement reporting and analytics solutions in targeted areas of the business value stream to support data-driven decision-making and performance optimization.Develop decision support tools that operationalize analytical insights, driving significant business impact.Work with business partners to translate requirements into actionable insights, fostering data-driven decision-making.SkillsProven expertise in navigating and analyzing data to identify key insights and develop viable solutions.Strong quantitative skills including statistics, forecasting, and simulation, coupled with proficiency in Excel and data visualization.Demonstrated critical thinking ability alongside strong problem-solving and analytical capabilities.A flexible change agent who can manage multiple projects with competing deadlines.Effective communicator with the ability to influence and convey complex concepts clearly to team members and business stakeholders.Experience in requirements-gathering and reverse engineering existing solutions.Successful candidates will exhibit strategic and creative thinking to assess and tackle high-level critical problems.

As a pivotal leader at Datadog, you will manage a dynamic, hands-on engineering team dedicated to constructing the secure and scalable Core Analytics Data Access Platform. This innovative platform propels Datadog’s Applied AI and analytics capabilities, providing a unified interface for AI and analytics teams to easily discover and self-serve production-ready datasets while ensuring necessary legal and compliance standards are met. Your responsibilities will include steering the technical direction, contributing to design and code, and collaborating with Applied AI, Product Analytics, and internal platform teams to deliver reliable datasets and APIs for model training and analysis. This role offers a unique blend of daily engineering leadership and long-term platform strategy, with potential for growth into an EM2 position as the platform expands in scope and impact.At Datadog, we cherish our office culture, emphasizing the importance of collaboration and creativity. We embrace a hybrid workplace model, enabling our Datadogs to achieve a work-life balance that suits their individual needs.

Tiger Analytics is a rapidly expanding advanced analytics consulting firm renowned for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We are proud to be the analytics partner of choice for numerous Fortune 500 companies, helping them derive significant business value from their data. Our leadership and innovative approaches have been recognized by prominent market research firms such as Forrester and Gartner. As we aim to strengthen our global analytics consulting team, we are on the lookout for exceptional talent.

Join the Ventura TRAVEL team and embark on a journey of discovery with our diverse travel brands that ignite the explorer in everyone!As part of our dedicated Data team, we strive to equip our vMembers with precise data and proactive insights to facilitate informed decision-making.We are seeking a dependable and proactive Data Analytics Engineer to enhance our digital marketing analytics framework. In this role, you will be responsible for creating and managing comprehensive data solutions—from data acquisition and integration to modeling and reporting—enabling us to promote sustainable tourism globally.You will report directly to the Data Manager, collaborating within an expanding international IT Department alongside other skilled, compassionate, and enthusiastic professionals.Your daily responsibilities will include:Connecting to and gathering data from various sources and APIs.Addressing data processing challenges, transforming stakeholder requirements into robust, scalable data solutions.Utilizing analytics tools to enhance our online presence and acquisition effectiveness.Designing and maintaining dashboards and visualizations to effectively communicate insights to stakeholders.Ensuring data integrity through thorough validation, testing, and documentation.Collaborating with marketing and other global teams, expanding your skills and perspective through the development of end-to-end data solutions.Essential qualifications:Proven experience with SQL and Python for data processing.Familiarity with Git for version control.Confidence in leveraging AI tools to enhance efficiency.Strong skills in data visualization and reporting.Hands-on experience with web/marketing analytics tools, such as Google Analytics and Google Tag Manager.Excellent communication skills in English, both written and spoken.A collaborative mindset, capable of gathering requirements and engaging with non-technical stakeholders.Preferred qualifications:Experience with BigQuery and Looker Studio.Exposure to Machine Learning or Data Science projects.What we offer:Engaging tasks and objectives.Creative freedom to achieve results.

Join us at Ventura TRAVEL – where we inspire adventure seekers through our diverse travel brands! The Data team is dedicated to equipping our vMembers with precise data and actionable insights, enabling informed decisions. We are on the lookout for a dedicated and proactive Analytics Engineer to enhance our digital marketing analytics framework. Your role will encompass building and managing comprehensive data solutions—from data collection and integration to modeling and reporting—all aimed at promoting sustainable tourism worldwide. As part of our expanding international IT Department, you will report directly to our Data Manager and collaborate with a team of talented, passionate professionals who care about making a difference. Your Daily Responsibilities Include: Connecting to and gathering data from various sources and APIs. Addressing data processing challenges and transforming stakeholder needs into efficient, scalable data solutions. Utilizing analytics tools to enhance our web presence and acquisition performance. Designing and maintaining dashboards and visualizations to effectively communicate insights to stakeholders. Ensuring data integrity through validation, testing, and documentation. Collaborating with marketing and cross-functional teams globally, developing your skills and perspectives through end-to-end data solution creation. Essential Qualifications: Proven expertise in SQL and Python for data processing. Familiarity with Git for version control. Comfortable using AI tools to enhance efficiency. Strong data visualization and reporting capabilities. Hands-on experience with web/marketing analytics tools, such as Google Analytics and Google Tag Manager. Excellent professional communication skills in English (both written and spoken). A collaborative mindset, able to gather requirements and communicate effectively with non-technical stakeholders. Preferred Qualifications: Experience with BigQuery and Looker Studio. Familiarity with Machine Learning or Data Science projects. What We Offer: Engaging projects and objectives to tackle. Freedom to innovate and achieve results creatively.

Role overview WorkWave seeks a Senior Data Analytics Engineer for a fully remote role within the United States. The position centers on developing and maintaining analytics solutions that guide business decisions company-wide. What you will do Collaborate with teams from various departments to identify and clarify their data requirements Design, build, and maintain data analytics tools and workflows Convert complex data into clear, actionable insights to support decisions throughout the organization

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.

Join AuditBoard as a Senior Data Analytics Engineer, where you will play a pivotal role in transforming data into actionable insights that drive business decisions. As a member of our innovative team, you will leverage your expertise in data analytics to develop advanced solutions and analytical frameworks that enhance our product offerings.