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.
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 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.
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.
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.
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.
Create and maintain complex, scalable data models in Snowflake using dbt.
Expose datasets effectively in BI tooling to enable robust self-service analytics.
Mentor junior analytics engineers, fostering knowledge-sharing and professional growth.
Paddle provides digital product companies with a payment infrastructure as a Merchant of Record, eliminating payment fragmentation. They are backed by investors including KKR and FTV Capital, serving over 6,000 software sellers in 245 territories with a transparent, collaborative, and respectful culture.
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.
Design, develop, and maintain scalable data models for enterprise reporting and analytics.
Build and optimize ETL/ELT pipelines using modern data transformation frameworks like DBT.
Partner with business stakeholders to translate needs into scalable analytical solutions.
Agilon health is a healthcare company focused on transforming the delivery of care for Medicare Advantage and value-based care models. The company fosters a collaborative culture with a passion for improving healthcare through data and analytics.
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 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.
Own the transformation layer by designing and maintaining scalable data models using dbt and SQL for diverse business needs.
Set technical standards for data modeling, testing, and monitoring to ensure data quality and integrity.
Collaborate with finance, operations, and marketing teams to deliver reliable data products via BI tools and reverse ETL.
Alpaca is a US-headquartered global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, and more. Our 400+ member global team is backed by $400 million in funding and we are committed to open-source contributions and fostering a vibrant community.
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.
Data-Driven Culture: You will be an ambassador for our data-driven culture, shaping data to facilitate analysis and decision-making.
Data Management: You will ingest, clean, and organize raw data for team use.
Project Management: You will lead data projects from ingestion to reporting, handling ambiguity.
Super.com helps maximize lives by offering travel and financial products. As a fast-paced, high-growth tech company, we prioritize employee growth and career progression.
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.
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.
Own Gold-layer design and delivery, including facts, dimensions, domain data marts, and governed KPI implementations on Databricks.
Build and maintain the enterprise semantic layer through curated views, governed semantic models, and metric definitions.
Partner directly with business stakeholders across domains to clarify KPI definitions and resolve competing definitions before implementation.
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians. The company has offices across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology supports operations worldwide.
Lead the development of scalable, trusted data products for Affirm's revenue teams.
Design and build durable, well-tested data products that power revenue operations and reporting.
Advance AI initiatives within the revenue data ecosystem by identifying high-value use cases.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. Affirm is a publicly traded financial technology company with thousands of employees, known for its people-first culture and remote-first work environment.
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.
Build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
Own and improve data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
Partner closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. They work with over 1,000 leading merchants across industries, are backed by prominent investors, and are headquartered in San Francisco.