Lead the Analytics Engineering team to build a trusted semantic metrics layer powering decision-making across the company.
Partner cross-functionally with Engineering, Product, Data Science, Finance, and Executive Leadership to define data strategy and ensure scalable, accessible data.
Drive technical excellence in data modeling, governance, and infrastructure while managing and developing a high-performing team.
HighLevel is an AI-powered business operating system that provides agencies, entrepreneurs, and SMBs with infrastructure to build, automate, and scale their operations. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership, fostering a culture of initiative, clarity, and execution.
Define and execute ButterflyMX's enterprise data strategy to establish data as a key operating advantage.
Lead a team of data professionals to build governed data products and trusted metrics.
Partner with executives across functions to drive data-driven decisions and improve business outcomes.
ButterflyMX empowers people to open and manage doors and gates from a smartphone, with products installed in over 20,000+ properties worldwide. As a distributed, primarily remote workforce, they are looking for intelligent, passionate, collaborative, and ai-forward individuals to join their growing team.
Design and build end-to-end data solutions for Core products, including data ingestion, modeling, and semantic layer development.
Develop and maintain analytics-ready data platforms using Snowflake, dbt, and Looker, supporting provider sales and operational metrics.
Mentor junior team members and champion data governance practices to ensure data quality and consistency.
PatientPoint is a digital health company that transforms healthcare by delivering behavior-changing content at critical moments of care. It is the nation's largest digital network in 30,000 physician offices, with a purpose-driven and collaborative culture.
Own the end-to-end data platform architecture from source systems to serving, deciding where the stack consolidates.
Design the path for order data as it moves off the legacy monolith onto a new source of truth.
Bring real modeling rigor and a single semantic layer for core metrics like revenue, conversion, and retention.
Owner is an AI-native platform that helps local business owners, starting with restaurants, run their operations including website, online ordering, CRM, and POS. The company has a team of low hundreds and fosters a remote-first, global culture.
Lead and build SQUIRE's data organization, balancing hands-on coding with strategic leadership.
Own long-term data architecture, pipelines, and standards, enabling company-wide automation and AI capabilities.
Manage a growing team of 5+ across Data Engineering, ML Engineering, and Analytics.
SQUIRE provides a business management system for barbers and shop owners, helping them manage operations, attract customers, and increase revenue. Founded in 2015, it is trusted by over 30,000 barbers across 5,000+ shops worldwide, fostering a culture of artistry and entrepreneurship.
Build and scale reliable data infrastructure powering analytics, AI-driven decision-making, and smarter growth across n8n.
Own critical parts of the modern data stack, including end-to-end data pipelines using dbt on BigQuery and orchestration with Dagster.
Enable analytics, AI use cases, and marketing attribution by delivering trusted datasets and scalable data products.
n8n is an open workflow orchestration platform built for the new era of AI, giving technical teams the freedom of code with the speed of no-code. The company has grown to a team of over 260 across Europe and the US, backed by top investors, with a culture of builder spirit and remote-first collaboration.
Influence technical strategy: Define and drive the long-term roadmap for the Lakehouse Platform, balancing scalability, reliability, and cost.
Design and develop platform capabilities for secure, discoverable, and easy-to-use analytical data across engineering, analytics, and ML teams.
Strengthen governance and access controls, improve analytics engineering foundations, and operate at scale with best practices for performance and cost optimization.
Affirm is reinventing credit to make it more honest and friendly, offering buy now, pay later solutions without hidden fees. With a remote-first culture, the engineering team focuses on building scalable, reliable infrastructure across multiple financial products.
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.
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse.
Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices.
Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
An international product company building SaaS products, AI-powered solutions, and modern web and mobile applications for global markets. They are scaling and investing in a modern data platform, with a collaborative, product-focused team.
Define and own the strategic architecture of Foodsmart's data platform, setting technical direction for scalable and governed data infrastructure.
Lead design and implementation of next-generation data pipelines, data models, and platform capabilities for advanced analytics and machine learning.
Establish company-wide standards for data quality, governance, security, and compliance, acting as a cross-functional technical leader.
Foodsmart is the leading Foodcare platform in the U.S., delivering nutrition-driven healthcare at scale through a national network of Registered Dietitians. The company serves over 3 million members, secured a $200 million investment in 2024, and values a customer-first, collaborative culture.
Lead the Data & Observability Platform team to build scalable data capabilities and improve engineering velocity.
Partner with Data & Analytics, SRE, and Cloud Platform Engineering to deliver reliable platform foundations and observability.
Drive modernization of legacy data platforms into cloud-native patterns on GCP, Databricks, and dbt.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple Top Employer awards, we foster an innovative and collaborative culture.
Build new analyses and support existing ones using SQL and Python.
Apply software engineering principles like version control and continuous integration to the analytics codebase.
Expand our data warehouse with clean data ready for analysis.
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. It delivers integrated, AI-powered solutions to unlock student engagement and empower teachers.
Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake Data Cloud.
Manage and optimize data flows within an AWS environment, leveraging Databricks and Python for high-scale processing.
Implement a Semantic Layer via dbt to standardize business logic, metrics, and dimensions for all downstream consumers.
Instructure creates intuitive products that simplify learning and personal development, amplifying the power of people to grow and succeed. They offer competitive benefits and a culture rooted in inclusivity, support, and meaningful connection.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
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 the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
Drive engineering excellence through improved data quality, reliability, observability, and governance.
Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.
Design, build, and evolve Data Warehouses, Data Marts, and enterprise data models to support analytics and business decision-making.
Design, implement, and optimize scalable ELT pipelines and data processing solutions, ensuring reliability, performance, and maintainability.
Drive technical decisions related to data architecture, platform evolution, data modeling approaches, and integration patterns.
Sigma Software is building a scalable, reliable, and secure corporate Data Platform to power analytics and decision-making across the company. The company supports professional growth, knowledge sharing, and modern tools for high-quality solutions.
Define the 2–3 year vision for the data platform, aligning engineering initiatives with company goals to drive business growth.
Build and scale a multi-tiered data engineering organization, fostering technical excellence, mentorship, and high accountability.
Establish global data governance and compliance standards (GDPR/CCPA), ensuring data quality, security, and a single source of truth.
Engine is transforming business travel into something personalized, rewarding, and simple by building a platform that combines corporate travel, a charge card, and spend management. Over 30,000 companies and 1 million travelers rely on Engine; backed by Telescope Partners, Blackstone, and Permira, it's a fast-growing, cash-flow-positive fintech platform with a mission-driven culture.
Design, develop, and maintain resilient, scalable, end-to-end data pipelines with Snowflake and Python.
Partner with product owners and analysts to gather requirements and deliver data solutions aligned with business goals.
Act as a subject matter expert, mentor junior engineers, and champion DevOps practices including CI/CD and automated testing.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups and health systems to optimize practices and improve patient care through its cloud-based platform. The company is led by top industry talent and physician leadership, focusing on reducing healthcare costs and improving outcomes.
Design, develop, and maintain Power BI dashboards, reports, and KPI frameworks to support enterprise decision-making.
Develop and maintain dimensional data models and ETL/ELT processes to ensure data accuracy and reliability.
Partner with stakeholders to translate business requirements into scalable analytics solutions and drive data-driven recommendations.
Cornerstone Building Brands is a leading manufacturer of exterior building products for residential and commercial buildings in North America. The company employs over 18,800 team members and is committed to corporate stewardship and ESG responsibility.