Senior Data Analytics Engineer - Remote Opportunity

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 m…

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.

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

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.

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.

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

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.

Join Us at TrafileaAt Trafilea, we are redefining the landscape of consumer technology through our innovative platform designed to drive transformative brand growth. We are on a mission to build the AI Growth Engine that will empower the next generation of consumer brands.With over $1 billion in cumulative revenue, more than 12 million satisfied customers, and a talented workforce of over 500 professionals across 19 countries, we merge cutting-edge technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.As owners and operators of our own brands—proudly not an agency—we have a significant presence in leading retailers such as Walmart, Nordstrom, and Amazon, along with a robust global direct-to-consumer (D2C) footprint.Why Choose Trafilea?We are a tech-driven eCommerce group dedicated to scaling our globally cherished DTC brands while fostering rapid growth for our talented team members. We innovate and scale our own brands. We are at the forefront of AI and automation in eCommerce. We embrace fast testing and rapid growth. Join a diverse, dynamic global team. Enjoy a fully remote work environment, competitive salaries in USD, paid time off, and additional benefits.Key ResponsibilitiesWe are seeking a Senior Analytics Engineer (Business Intelligence) to spearhead our marketing and business intelligence initiatives. This pivotal role integrates data engineering, analytics, and business impact, ensuring our reports are reliable, scalable, and conducive to informed decision-making.Your contributions will be essential in refining our marketing reporting platform, crafting high-quality data models, and collaborating with stakeholders to convert data into impactful insights.Core Activities1. Ensure Reporting Reliability & Data QualityGuarantee that dashboards and reports are accurate, dependable, and consistently accessible.Establish monitoring, alerting, and service level agreements for crucial reporting assets.Analyze and resolve data discrepancies with thorough root-cause investigations.2. Develop Scalable Data ModelsCreate and enhance SQL transformations and data models.Boost dataset performance and optimize reporting queries.Minimize redundancy by centralizing business logic within the data layer.3. Deliver High-Impact BI SolutionsConstruct and sustain dashboards, reports, and analytical tools.Translate business requirements into scalable BI solutions.Execute projects with clear timelines and predictable outcomes.4. Guarantee Data Trust & ObservabilityIntroduce data validation checks and anomaly detection.Proactively discover issues before they affect stakeholder operations.

Join Nagarro as a Senior Data Analytics Engineer, where you will leverage your expertise in data analysis to drive impactful business decisions. You will work with a diverse team to develop data-driven strategies and enhance performance across various projects. This is an exciting opportunity for professionals eager to make significant contributions in a dynamic, fully remote environment.

Tiger Analytics is at the forefront of harnessing AI and analytics to address some of the most challenging issues faced by organizations worldwide. Our team crafts tailored solutions powered by cutting-edge data and technology for numerous Fortune 100 companies. With offices in various cities across the US, UK, India, and Singapore, we also boast a significant remote global workforce.If you are eager to tackle business challenges using both structured and unstructured data at scale, we want to hear from you! We are looking for an experienced and motivated Principal Architect in Data Engineering to play a crucial role in designing and implementing effective data solutions that resolve our clients' complex business problems.

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 innovative team at Luxury Presence as a Staff Analytics Engineer, where you will play a pivotal role in transforming data into actionable insights that drive business decisions. This remote position allows you to work from anywhere in the United States while collaborating with a dynamic team of professionals.Your expertise in analytics, data visualization, and statistical modeling will be essential as you develop and maintain analytics solutions that enhance our understanding of user behavior and market trends. You will leverage advanced technologies to provide comprehensive insights and recommendations.

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.