Data Engineer for Analytics Data Engineering

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.

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

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.

About UsAt Optro, we are proud to be the premier platform for audit, risk management, ESG, and InfoSec, having achieved over $300M in Annual Recurring Revenue. Our innovative technology is trusted by more than half of the Fortune 500, including 7 of the Fortune 10, to enhance their operational clarity and agility. Our commitment to excellence has earned us top ratings on G2.com and Gartner Peer Insights.We foster a culture of innovation and teamwork, constantly exploring new ways to support our clients and positively impact our community. This dedication has led us to be recognized as one of the 500 fastest-growing tech companies in North America by Deloitte for seven consecutive years.Why You'll Love This OpportunityWe are on the lookout for a Senior Data Analytics Engineer to construct and scale the enterprise data infrastructure that supports our Post-Sales and Product Engineering teams. This pivotal role collaborates with Customer Success, Renewals, Professional Services, Support, Customer Education, and Product teams to ensure that reliable and well-governed data drives informed decisions throughout the customer journey.You will be responsible for designing and maintaining scalable data pipelines, optimizing data models, and setting governance standards that enhance retention forecasting, risk management, operational efficiency, product telemetry insights, and AI capabilities. This is a transformative chance to influence how Optro utilizes customer and product data to foster growth, protect revenue, and drive innovation.Key ResponsibilitiesDesign, build, and maintain scalable data pipelines that process and transform data from Salesforce, Gainsight, Rocketlane, Zendesk, Snowflake, product telemetry, and other essential systems.Act as a strategic partner with Customer Ops & Analytics, Enterprise Data Engineering, and Product Operations teams to lead the design of scalable data solutions.Develop dependable data models that underpin renewal forecasting, churn prediction, customer health scoring, professional services metrics, support performance, and product usage analytics.Implement CI/CD, data testing, and documentation best practices to ensure scalable, secure, and auditable data transformations.Enhance warehouse performance and data architecture for efficiency, cost-effectiveness, and reliability.

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.

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.

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.

Join The Athletic as a Director of Data & Analytics and lead our efforts in leveraging data to drive strategic decision-making. In this pivotal role, you will oversee a talented team dedicated to transforming data insights into actionable strategies that enhance our user experience and business performance.As a remote position, you will have the flexibility to work from anywhere in the U.S., while collaborating closely with cross-functional teams to develop data-driven solutions that align with our organizational goals.

About Tailscale Tailscale is revolutionizing the way we connect on the Internet by providing software that allows for secure interconnectivity between individuals and their devices, irrespective of their location. From enthusiastic hobbyists to large multinational enterprises, teams of all sizes leverage Tailscale daily to secure their networks, share access to critical internal tools, and much more. We are committed to creating a future for the Internet that is intuitive, sensible, and secure, reminiscent of its earlier days. Established in 2019 and operating fully remotely, we are supported by prominent investors such as Accel, CRV, Insight, Heavybit, and Uncork Capital.Job DescriptionWe are on the lookout for a proactive Analytics Engineer who flourishes in dynamic and complex environments, adept at converting ambiguity into clarity. You will join a dedicated data team facing numerous impactful challenges across billing, finance, product, go-to-market strategies, and business operations.You are a curious individual who asks insightful questions, delves deep to grasp underlying mechanics, and enjoys transforming loosely defined user issues into scalable, dependable data solutions. You are not hesitant to question existing assumptions, reevaluate processes, or engage with intricate systems. Your contributions will enable teams to work more effectively through streamlined models, automated workflows, and reliable, accessible data.This role is perfectly suited for someone with robust experience in delivering production-quality analytics engineering solutions who is eager to take on increased responsibility and expand their influence as the team grows.

Become a part of Ventura TRAVEL – a collective of dynamic travel brands dedicated to igniting the adventurer in everyone! At our Data team, we strive to empower our vMembers with precise data and proactive insights, facilitating data-driven decisions. We are in search of a dedicated and proactive Analytics Engineer to enhance our digital marketing analytics framework. Your role will encompass the development and upkeep of comprehensive data solutions—from data collection and integration to modeling and reporting—ultimately contributing to the advancement of sustainable tourism globally. You will report directly to our Data Manager and collaborate within a growing international IT Department, alongside other talented, compassionate, and passionate individuals. Your Daily Tasks 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 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 and perspective through comprehensive data solution development. Key Qualifications Proficient experience in SQL and Python for data processing. Familiarity with Git for version control. Confidence in utilizing AI tools to enhance efficiency. Strong skills in data visualization and reporting. Hands-on experience with web and marketing analytics tools, such as Google Analytics and Google Tag Manager. Excellent communication skills in English, both written and spoken. A collaborative mindset, with the ability to gather requirements and communicate effectively with non-technical stakeholders. Additional Skills That Will Impress Us Experience with BigQuery and Looker Studio. Exposure to Machine Learning or Data Science projects. What We Offer You Engaging tasks and objectives. Creative freedom to achieve results. A supportive and inclusive work environment.

Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential

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.

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.

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.

Job Overview Lola Blankets is an innovative and rapidly expanding direct-to-consumer brand, renowned for producing some of the most beloved blankets on the internet. Our cutting-edge, open-source data stack—utilizing tools like dbt, Dagster, and Lightdash—facilitates crucial decision-making processes, ensuring our data remains reliable, fast, and actionable. We are seeking a passionate Data Platform Engineer who will bridge the gap between data and engineering. In this role, you will take ownership of our analytics platform foundation while also contributing to the broader engineering roadmap across product development, operations, and integrations. On the data side, you will collaborate with our Analytics Lead to oversee data ingestion, transformation, orchestration, and the semantic layer. If a dashboard's data seems off, you'll diligently trace it through Lightdash, dbt, and pipelines to identify and rectify the issue. From the engineering perspective, you will partner with our Technology & Engineering Lead to work on integrations, event pipelines, and platform infrastructure, applying a DevOps mindset to maintain environments, deployments, and production reliability. We pride ourselves on being a lean, builders’ team: open-source-oriented, agile, and opinionated. Your strong judgment and execution capabilities will be essential in this dynamic environment.

Grafana Labs is a pioneering open-source organization that operates with a remote-first approach. With over 20 million users globally, our renowned Grafana visualization tool is utilized to monitor a diverse range of applications, from environmental changes to the performance of beehives. Our visually striking dashboards have gained recognition at prestigious events such as NASA launches, Wimbledon, and the Tour de France. Supporting over 3,000 companies, including industry giants like Bloomberg, JPMorgan Chase, and eBay, we empower businesses to effectively manage their observability strategies using the Grafana LGTM Stack.As we expand rapidly, we remain committed to our unique attributes: a legacy rooted in open-source principles, a collaborative global culture, and a dedication to impactful work. Our team thrives in an environment driven by innovation, transparency, autonomy, and trust.If this opportunity resonates with you, we encourage you to apply, even if you don't meet every requirement. This could be a pivotal career moment for you.This role is fully remote, and we are currently seeking candidates located in USA time zones only.Senior Analytics EngineerThe Opportunity:The Senior Analytics Engineer plays a vital role in enabling our analysts and data-driven stakeholders by taking ownership of the architecture and infrastructure for data ingestion, transformation, testing, documentation, and connectivity throughout Grafana Labs. Effective communication with stakeholders is essential to develop a flexible data stack that accommodates our growing business needs.What You’ll Be Doing:Manage and maintain the architecture and infrastructure of our data stack (e.g., BigQuery, dbt, Fivetran).Ensure the availability, accuracy, and accessibility of critical data for our stakeholders.Collaborate with GTM, Self-Serve, Marketing, Finance, BizApps, and other teams to assess their data needs and identify opportunities for enhancement within our analytics framework.Become the primary expert on our data systems.

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.

Role overview elastic seeks a Principal Analytics Engineer based in the United States. This position plays a key part in shaping how the organization uses data to guide decisions and refine products. Deep experience in data analytics is essential, along with a talent for translating complex information into practical, understandable insights. What you will do Collaborate with teams throughout the company to enhance analytics capabilities Transform large and complex data sets into clear, actionable findings Deliver insights that support decision-making and influence the direction of products Implement analytics solutions that drive measurable business value Requirements Extensive background in data analytics and engineering Demonstrated success in delivering analytics solutions that have a real business impact Strong ability to collaborate with cross-functional teams Skilled at communicating technical findings to both technical and non-technical audiences