Senior Data Engineer at Tiger Analytics | Wilmington, Delaware

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.

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.

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.

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.

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

Join the team at The New York Times Company as a Data Engineer focusing on Analytics Data Products. In this pivotal role, you will design and implement data pipelines that drive insights and analytics for our products. Your expertise will contribute to the creation of robust data architectures, ensuring data quality and accessibility for analytics teams.

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 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.

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.

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.

PM2CM, Inc. (Project Management to Construction Management) is a distinguished professional services firm and certified SBE and DBE, committed to delivering exceptional Program and Project Management, Construction Management, and Project Controls services throughout the design and construction phases of various projects. Our specialization in Project Controls encompasses Scheduling, Cost Controls, Document Management, Budget Tracking, Monitoring, Estimating, Risk Analysis, Claims Avoidance and Mitigation, Change Management, and Earned Value Management.Our mission is clear: to provide and deliver top-tier project management, construction management, and project controls services that empower our clients to proceed with confidence.To fulfill our mission, we prioritize a thorough understanding of project scope and our clients’ corporate needs. We are dedicated to delivering our services with integrity and exceptional professionalism, employing only the most qualified professionals.This role is remote with occasional in-person team meetings in Pomona, CA.About the Role:We are on the lookout for a seasoned Senior Data Engineering & Analytics Lead who will spearhead data strategy, construct scalable data infrastructures, and provide actionable insights that facilitate strategic decision-making across the organization.Key Responsibilities:Direct the design, development, and implementation of scalable data engineering solutions, including ETL processes, data modeling, and data pipeline architecture for extensive and intricate datasets.Utilize advanced analytical and statistical techniques to create forecasting, economic modeling, and performance analysis that addresses complex business challenges.Build intuitive dashboards and visual analytics utilizing Power BI, Excel (Power Query), SAS, and other BI tools to assist cross-functional stakeholders.Convert analytical insights into concise reports, metrics, and executive-level narratives that inform strategic operations and decisions.Conduct comprehensive project data analysis to uncover patterns, trends, and opportunities for process improvements and enhanced reporting capabilities.Develop and maintain detailed technical documentation and provide data support to leadership, operational teams, and business partners.Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.

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.