Own scalable DBT models and datasets that serve as authoritative sources of truth for key business metrics.
Design clear data models and grains that analysts and downstream tools can use with confidence.
Drive team standards for modeling patterns, testing frameworks, and CI/CD deployment practices.
1Password is a cybersecurity company that builds password management and unified access management solutions to secure digital identities and devices. With over 180,000 business customers and a spot on the Forbes Cloud 100, the company fosters a collaborative, remote-first culture focused on innovation and trust.
Develop and own a long-term strategic vision for Webflow's enterprise data architecture, aligning data models, integration patterns, and governance with business priorities.
Lead, mentor, and grow a team of Analytics Engineers to build a scalable, reliable data foundation.
Design and operationalize a unified semantic layer that powers self-serve analytics and data-driven decision-making.
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences. As a privately held company, Webflow fosters a culture of grit, collaboration, and continuous improvement.
Own and expand the semantic layer in dbt as the single source of truth for metrics across dashboards, reports, and AI tools.
Build and maintain analytics products that drive business value for internal teams and partner-facing dashboards.
Make data trusted, accessible, and easy to use through documentation, data literacy initiatives, and collaboration with cross-functional stakeholders.
Mainstay provides an Engagement Platform that helps colleges and businesses start and measure conversations to drive action at scale. The company is a division of Lemnis, a public charity, and fosters a collaborative and inclusive work environment.
Own Silver and Gold layers in dbt, building clean, tested models and governing the semantic layer.
Lead BI tooling strategy and enable trusted self-serve analytics for stakeholders.
Partner with data engineering and analysts to translate questions into governed metrics.
We are a privately owned digital marketing company offering predictive analytics to the multifamily industry through our platform, Fiona. Serving ~1,000 multifamily clients, we have been a Top Workplace in Colorado since 2021 with a collaborative, transparent culture.
Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets for priority domains onboarding to Databricks.
Partner directly with business stakeholders to translate domain requirements and KPI definitions into governed, testable, and reusable transformation logic.
Create reusable domain patterns and analytical building blocks that allow teams such as FP&A, RevOps, and Marketing to operate more self-service over time.
Shield AI is a venture-backed defense-tech company protecting service members and civilians with intelligent systems. With offices worldwide, its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.
Architect and own the data platform end to end, including pipeline orchestration, dbt project, and warehouse infrastructure for peak performance and reliability.
Mentor and scale a high-performing distributed data engineering team, driving technical excellence through rigorous design reviews and architectural discipline.
Partner strategically across the business to translate ambiguous needs into scalable solutions, fixing classes of problems rather than individual instances.
Foodsmart is a leading telenutrition and foodcare solution backed by a network of Registered Dietitians, designed to foster healthier food choices and drive lasting behavior change. With over 2.2 million members and a $200 million investment from TPG's Rise Fund in 2024, the company values customer focus, urgency, and collaboration.
Build and edit SQL to power audience building and email and direct mail campaigns.
Work directly with a single enterprise client to understand their business needs and data landscape.
Design and build scalable data models that support the client's analytical and operational goals.
GrowthLoop is a founder-led company that builds a composable customer data platform and agentic marketing engine to help enterprises leverage first-party data for targeted campaigns. They partner with brands like Google, Costco, and Ford, and maintain a remote-first culture with teams across North America and beyond.
Work across Product and GTM to turn ambiguous questions into useful metrics, models, and analyses.
Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business.
Design clear data models, dashboards, and leverage LLMs to accelerate development while maintaining high correctness.
Linear builds the product development system for teams and agents, shaping tools for the AI era. Founded in 2019, with over 40,000 customers and a distributed team across North America, Europe, and Australia, we are united by focus, fast execution, and craftsmanship.
Collaborate with team members to gather business requirements and design robust data models for analytics.
Configure and maintain cloud data warehouses and ELT pipelines to ensure reliable, high-quality data.
Support global reporting by monitoring data quality, improving data flow, and coordinating with data engineering and IT teams.
Hyland is a content services company providing the Content Innovation Cloud, delivering enterprise intelligence and automation to organizations worldwide. With nearly 4,000 employees, Hyland fosters an employee-centric, inclusive culture that supports career development, wellbeing, and community engagement.
Build and own the data foundation using dbt and Snowflake, ensuring performant, well-tested models.
Drive data quality and automation with CI/CD, observability, and cross-system reconciliation.
Enable cross-functional collaboration and AI-ready data infrastructure, including semantic layers for AI agents.
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners, we're a Series C company with over $100M in annual recurring revenue and a team of agile innovators.
Own the reliability of data pipelines, proactively identifying and fixing issues.
Design and optimize dimensional data models using dbt for scalable analytics.
Partner with technical and business teams to ensure data accuracy and usability.
Homeward creates financial products to simplify homebuying, giving buyers and sellers certainty. It is a remote-first real estate startup with a diverse team across multiple countries, grounded in values of empathy, focus, and teamwork.
Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Wrapbook is an AI platform for production finance, built for feature films, TV, and commercials. Trusted by teams at Netflix, Paramount, and Anonymous Content, the company of 350+ employees is backed by top investors and uses AI to transform how finance teams work.
Lead the architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.
Lead and scale a team of data and analytics engineers, setting technical standards and fostering a culture of engineering rigor.
Own the end-to-end data platform architecture, including ingestion, warehouse modeling, governance, and security.
Act as product manager for data infrastructure, enabling self-serve analytics across all internal stakeholders.
Cherry is a fast-growing FinTech that offers the simplest BNPL solution for medical practices. Led by Stanford entrepreneurs and backed by top investors, the company is building a culture of data-driven decision-making.
Design and optimize modular dbt pipelines and performant technical schemas to set the team standard for data modeling.
Act as a technical bridge between Analytics, Operations, and Data Engineering to transform product requirements into robust data assets.
Diagnose performance bottlenecks and lower warehouse compute costs across modern data platforms, supporting migration to Snowflake.
Rula is a mental healthcare company dedicated to providing quality, evidence-based care to empower individuals. It is a remote-first company hiring in most U.S. states, with a culture focused on inclusion and employee well-being.
Build and maintain the product analytics data foundation that powers reporting, self-service, experimentation, and AI.
Partner with Engineering to define, implement, and validate product instrumentation before new features are released.
Design and maintain scalable dbt models that transform raw product events into trusted analytical datasets.
Jane builds products and tools for clinics to run their businesses and care for patients. With over 850 team members working remotely across Canada, the US, and the UK, Jane is a founder-led, high-growth SaaS company focused on helping the helpers.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Own the entire data stack end to end, ensuring pipelines, dbt models, and dashboards are reliable and scalable.
Define and govern core company metrics, turning ambiguous business goals into precise, trusted definitions.
Lead and grow a high-performing data team, partnering with engineering and business leaders to drive data-driven decisions.
AIOS is building the world's first full-stack AI doctor, serving 150k patients per month via Bolt Pharmacy. At $350M ARR and growing rapidly, we are a profitable, founder-led company with a young, ambitious culture.
Lead and grow a high-impact BI data engineering team, setting technical vision and roadmap for data infrastructure.
Design and build scalable ETL/ELT pipelines and data warehouse models, contributing hands-on code in Python and SQL.
Partner cross-functionally with Product, Engineering, Analytics, and Senior Leadership to ensure data reliability, security, and alignment with business priorities.
Carrot is a global fertility and family care platform that provides clinical guidance and support for members from pre-pregnancy through menopause. It serves over a thousand multinational employers and health plans, with a culture focused on mission-driven work and innovation.