Senior Analytics Engineer at Philo | Remote or U.S. Locations

Join Philo: The Ultimate Streaming Service for TV and Movie Enthusiasts At Philo, we are a passionate team of technology and product innovators committed to revolutionizing the television landscape. By merging state-of-the-art technology with the captivating medium of TV, we are creating the viewing experience we've always desired. This involves utilizing cl…

About OmniOmni is a cutting-edge business intelligence and embedded analytics platform designed to empower customers to explore, analyze, and act on their data effectively.With our headquarters in San Francisco and additional hubs across EMEA and APAC, we are supported by prominent investors such as ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures.About the RoleAs a Senior Pre-Sales Solutions Engineer, you will gain in-depth expertise in the Omni platform, enabling our customers to maximize their data utilization throughout its lifecycle. You will engage with organizations from various sectors, regions, and sizes. Our high-touch, forward-deployed model encourages continuous learning and discovery of new use cases and customer needs. You'll passionately advocate for our users and contribute to shaping product direction by relaying experiences and insights from the field.Your Responsibilities:Collaborate with the sales team to deliver technical expertise throughout the sales process, uncovering and validating use cases that demonstrate the Omni platform's value.Create and deliver compelling Proofs of Concept utilizing the Omni Platform during the evaluation phase and guide prospective customers on how to effectively leverage Omni with their data.Facilitate seamless transitions of trials into successful customer relationships by partnering with post-sales teams and coordinating ongoing support with our partners.Work closely with Product, Design, and Engineering teams to provide user feedback that will inform and enhance product development.Your Qualifications:7+ years of experience in data analytics or a technical pre-sales capacity.Proficient SQL skills, with a focus on analytics.Experience in client-facing roles, with a strong desire to collaborate closely with customers.Exceptional consultative communication skills, capable of engaging both technical and non-technical audiences.A genuine passion for working with data.A commitment to continuous learning and a desire to help and educate others.Prior experience with business intelligence and/or enterprise data analytics tools, preferably with modeled BI solutions like Looker.

Join Mixpanel as a Senior Analytics Engineer and play a pivotal role in transforming raw data into actionable insights. You will collaborate with various teams to design and implement robust analytics solutions that drive data-driven decision-making across the organization.

Join Our Visionary Team at cognition!We are an innovative applied AI lab dedicated to developing cutting-edge software agents. As the creators of Devin, the pioneering AI software engineer, and Windsurf, the AI-native IDE, we envision a future where collaborative AI teammates empower engineers to tackle more complex challenges and achieve ambitious objectives.Our team is comprised of exceptionally talented individuals, including world-class competitive programmers, seasoned entrepreneurs, and leaders from top-tier AI companies such as Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.While Devin and Windsurf represent significant strides in our mission, the most formidable challenges still lie ahead. If you're passionate about addressing some of the world's most pressing issues and advancing AI capabilities for real-world applications, we invite you to apply!Role OverviewWe are seeking a skilled Analytics Engineer to oversee our comprehensive data stack, encompassing database architecture, data pipelines, integrations, and reporting. Your expertise will be pivotal in designing and maintaining systems that ensure our data remains reliable, accessible, and actionable, with a specific emphasis on product and go-to-market analytics.Key Responsibilities:Architect and manage robust database structures and data models.Develop and maintain ETL/ELT pipelines along with orchestration workflows.Create and oversee new data integrations between internal and external systems.Lead business reporting initiatives, including datasets, dashboards, key metrics, and self-service analytics.Guarantee data quality, observability, governance, and thorough documentation.

As a Solutions Engineering Manager at Mixpanel, you will lead a dynamic team of engineers and solution architects, driving innovation and excellence in delivering our analytics solutions to clients. You will work closely with cross-functional teams to ensure our products meet client needs and exceed expectations. Your leadership will be pivotal in shaping team strategies, mentoring talent, and enhancing our customer engagement.

Join Oura as the Director of Data Analytics, where you will lead a dynamic team in leveraging data to drive strategic decision-making and enhance user experiences. Your expertise will be pivotal in analyzing complex datasets to extract meaningful insights that propel our innovative health and wellness solutions.In this role, you will collaborate closely with cross-functional teams, including product development and marketing, to ensure data-driven strategies align with company goals. You will also spearhead the development of best practices in data analytics, fostering a culture of data literacy across the organization.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

Join our dynamic team at Sonsoft Inc. as a Data Science and Analytics Specialist. This role involves leveraging data to drive meaningful business decisions, utilizing advanced analytical techniques to interpret complex datasets. You will collaborate with cross-functional teams to deliver insights that enhance our strategic initiatives.

Join Innovaccer Analytics as a Manager - Data Exchange and Interoperability. In this pivotal role, you will lead a talented team focused on the seamless acquisition of healthcare data from diverse provider systems and third-party platforms.Your responsibilities will include overseeing the entire lifecycle of data onboarding projects, strategic planning, and relationship management with U.S. healthcare providers and IT vendors. You will also ensure compliance and functionality through rigorous testing and validation of data connections.This position offers the flexibility of telecommuting from the U.S.

We are seeking a visionary Director of Financial Data & Analytics to lead our data-driven initiatives at Spoton. In this role, you will be responsible for harnessing data insights to inform strategic decisions, drive operational efficiencies, and support our financial growth.Your expertise will guide the development of robust analytical frameworks and models that enhance our financial forecasting and reporting processes.

Plaid is looking for an Analytics Engineer in San Francisco to help shape how data informs business and product decisions. This position centers on transforming raw data into clear, actionable insights that support growth and improve product outcomes. Role overview This role involves working closely with multiple teams to identify important metrics and analyze trends. Expect to translate complex datasets into findings that can guide strategic choices across the company. What you will do Collaborate with different teams to define and track key business and product metrics Analyze data to uncover patterns and opportunities for improvement Present findings that help drive product optimization and business growth Requirements Experience working with data to support decision-making Ability to communicate complex analyses in a clear, actionable way Comfort working cross-functionally with technical and non-technical teams

Join Scribd as the Vice President of Data & Analytics, where you will lead our data-driven strategies and analytics initiatives. In this pivotal role, you will be responsible for harnessing data to drive business decisions, enhance user experiences, and shape the future of our platform. Collaborate with cross-functional teams to identify data needs, develop analytical frameworks, and implement innovative solutions that propel our company forward.

Join our dynamic team at Sonsoft Inc. as a Cloud Analytics Specialist! In this role, you will leverage Hadoop technologies to drive data analytics and cloud solutions. Your expertise will help us transform data into actionable insights, driving business growth and innovation.

Join our dynamic team at Cayuse Talent Solutions as an Azure Data Architect. We are seeking a highly skilled professional with a proven history of developing scalable and efficient data platforms on Azure. This role involves leading architectural projects and providing expert guidance on Azure data services.Key Responsibilities:Oversee the architectural design and implementation of various data projects.Act as a Subject Matter Expert (SME) on Azure data services.Design data schemas using Azure Synapse.Establish a secure, scalable, and high-performance Azure environment.Devise comprehensive data platform designs and architectures.Ensure compliance with data governance and access control standards.Translate complex business requirements into actionable data strategies.Guide clients through data workshops to achieve their business objectives.Serve as a trusted advisor to customers.Utilize your knowledge of Big Data architectural patterns to inform decision-making.Work effectively in an agile environment and drive optimization initiatives for the Data Platform.Engage in presales activities with a proven track record.

Join our dynamic team at Sonsoft Inc. as a Data Science Analytics Associate! In this role, you will delve into data to extract insights that will drive our decision-making processes. You will work closely with cross-functional teams to analyze trends, develop models, and present findings that will contribute to our business strategies.

Scale GP is at the forefront of enterprise Generative AI, offering cutting-edge APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We empower critical workflows for leading enterprises, transforming intricate data and models into dependable, production-ready AI systems. Join our newly formed Agentic Data Products team, dedicated to creating the next generation of agent-powered tools that seamlessly integrate AI into real operational workflows. Our mission is to enable enterprises to unravel their data layers and deploy intelligent systems capable of reasoning, acting, and delivering measurable outcomes. This is a pioneering build team, and we are seeking a highly skilled, product-focused Senior Engineer who thrives in dynamic environments, acts swiftly, and relishes the challenge of constructing new systems from the ground up in collaboration with customers and cross-functional teams. You will partner closely with product managers, forward-deployed engineers, data scientists, and applied AI specialists to transform real-world challenges into scalable, production-ready solutions. If you have a passion for rapid delivery, accountability for outcomes, and enjoy working across the entire stack—from sleek front-end applications to robust distributed backends and LLM integrations—this role is perfect for you.

Join Front, the innovative customer operations platform designed to tackle the complexities of B2B interactions. Our platform ensures seamless synchronization among teams, tools, and customer conversations, enabling companies to scale effectively while nurturing vital connections. Unlike others that focus solely on simple exchanges, Front excels in managing the intricate coordination and context essential for successful B2B relationships. Over 9,000 organizations, including industry leaders like Uber Freight, Navan, and Stripe, trust Front for its unique ability to power the operational framework necessary for outstanding customer-facing performance.Supported by renowned investors such as Sequoia Capital and Salesforce Ventures, Front has successfully raised $204 million from top-tier venture capital firms and esteemed individual investors, including executives from Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Our company has achieved multiple accolades as a Great Place to Work, such as being recognized in Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.We are seeking a proactive Product Analytics Lead to spearhead strategic analyses that empower Front to make informed, data-driven decisions regarding our product offerings. This pivotal role places you at the nexus of data insights and product strategy, utilizing analytics to guide impactful business and product decisions related to the adoption of essential Front features and workflows. You will concentrate on enhancing our core product experience, conducting analyses throughout the product development lifecycle, and ensuring that our initiatives align with our strategic goals.

As a Team Leader in Analytics Engineering at truebill, you will spearhead a talented team of data engineers and analysts to drive critical insights that shape our business strategies. Your role will involve collaborating with cross-functional teams to develop innovative analytics solutions, ensuring that our data infrastructure is robust, scalable, and aligned with our organizational goals.

P-1398 Note: This is a hybrid role requiring approximately 3 days in the office in Plano, TX. Mission: As a Staff Data & AI Technical Solutions Engineer, you will take the lead in developing and guiding others in crafting innovative Data & AI technical solutions for various customer issues. This includes an in-depth exploration of production data pipelines, AI workflows, streaming data ingestion, and more. You possess extensive expertise in Data & AI architectures, having encountered a diverse array of use cases while successfully managing intricate production environments in compliance with Service Level Agreements (SLAs). You will work collaboratively with product engineering and customer account teams to deliver exceptional results for customers, especially in critical production downtime scenarios. Your role is to empower customers with the knowledge and skills necessary to create efficient architectures and dependable services, leveraging Databricks’ platform to achieve their strategic goals. Reporting to a Technical Support Engineering manager, you are recognized as a technical authority within a leading global support engineering organization, celebrated for your leadership, technical knowledge, and ability to resolve even the most challenging customer situations. The impact you will have: Lead and direct technical solutions for a wide range of complex challenges reported by Databricks customers, including escalated and critical cases. Conduct comprehensive code-level analysis and systems architecture assessments of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving. Act as a customer support advisor, adept at diffusing escalations during incidents directly with customer stakeholders, swiftly identifying mitigations and solutions for advanced use cases, and strategically helping to avert future customer issues. Contribute to simplifying Databricks products and enhancing customer production environments' stability by influencing Engineering and Backline Support teams to identify areas for product improvements. Establish yourself as a deep technical expert and leader in the Databricks platform and production systems, mentoring others to share your expertise. What we look for: A minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines, with relevant past experience in Spark being mandatory. Proficiency in SQL databases or data warehouses, among other technical skills.

FEQ127R13 We invite exceptionally qualified candidates from various locations on the East Coast to apply for this exciting opportunity. Mission As a Senior Solutions Architect at Databricks, you will play a pivotal role in advancing the Databricks Data Intelligence Platform. Our team is well-versed in cloud technologies, data engineering, analytics, data science, machine learning, and AI. You will leverage open source projects like Apache Spark™, Delta Lake, and MLflow to enhance your expertise and contribute to the success of our customers. This is a customer-facing position where you will collaborate with clients, team members, product teams, post-sales support, and partners to identify use cases, develop architecture and solutions, and guide customers through successful implementations, leading to impactful business outcomes. Building strong relationships with customers, nurturing champions, and establishing yourself as a trusted advisor will be key aspects of your role. You will report to a Field Engineering Manager within our Financial Services team. Your Impact: Collaborate with the sales team to demonstrate how Databricks can address customer challenges. Provide technical leadership to clients in evaluating and adopting Databricks. Consult on big data architecture, execute proof of concepts for strategic projects, and validate integrations with cloud services and third-party applications. Create and present reference architectures, how-tos, and application demonstrations for clients. Promote open source projects (Apache Spark™, Delta Lake, MLflow, Unity Catalog) within developer communities through meetups, conferences, and webinars. Travel to meet customers in your designated territory. What We Are Looking For: 10+ years in a customer-facing pre-sales or consulting role, ideally with big data technologies addressing data engineering and analytics challenges. Proven experience in designing and architecting distributed data systems. Proficient in programming and debugging in at least one of the following: Python, SQL, Scala, Java, or R. Experience with global system integrators, consulting firms, or technology providers in the financial services sector is a plus. Hands-on experience building solutions with major public cloud providers like AWS, Azure, or GCP. Familiarity with Data Engineering technologies such as Spark, Hadoop, or Kafka.