Define and execute the long-term data engineering strategy, designing scalable ecosystems and driving engineering excellence.
Deliver major systems reliably, align with business goals, and manage data quality and governance.
Influence cross-functionally, mentor engineers, and champion organizational change through executive communication.
SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management sector with a next-generation drug acquisition platform. Since 2016, they have onboarded hundreds of thousands of members and foster a mission-driven, collaborative culture guided by integrity, courage, and togetherness.
Manage and mentor a multi-disciplinary team of data engineers and data scientists, fostering collaboration and technical excellence.
Oversee the design and maintenance of scalable data pipelines and data architecture to ensure timely data availability.
Partner with analytics and product teams to define data strategy and enforce data quality standards using Snowflake and Looker.
InStride Health delivers specialty anxiety and OCD care for children and families, combining evidence-based clinical care with innovative technology. The company is a fully remote, mission-driven team that values collaboration, humility, and community.
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.
Lead the strategy and architecture of Alto's data platform, ensuring high-quality data fuels analytics and machine learning.
Manage and grow a high-performing data engineering team, fostering technical excellence and cross-functional partnership.
Drive data governance, reliability, and innovation in a regulated healthcare environment.
Fuze Health is a digital healthcare company that connects patients with care providers and resources through technology. It combines industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy to create a unified force in healthcare.
Lead the design and implementation of scalable data models and pipelines that turn complex data into clear, trustworthy insights.
Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers.
Partner with analysts, engineers, and stakeholders to translate business requirements into well-structured data models.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy, and our culture is built on trust, collaboration, and continued improvement.
Lead hands-on data architecture, coding in SQL and Python, and building visualizations in Tableau and Power BI.
Design and optimize end-to-end data pipelines using BigQuery, Cloud Dataflow, Pub/Sub, and Looker.
Manage projects through all phases, from requirements gathering to deployment, while facilitating workshops and executive meetings.
Qvest US is a global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. With over 300 employees, we foster a culture of collaboration and inclusiveness, and have been recognized as a 'Best Place to Work' and 'Great Place to Work.'
Lead the strategy, roadmap, and execution of enterprise data products for a major data modernization initiative.
Collaborate with cross-functional teams including data engineers, architects, and business leaders to drive data accessibility.
Define product success metrics and ensure governance, quality, and scalability of data assets.
Trissential is a technology and consulting firm specializing in data modernization and IT solutions. They prioritize empowerment, support, and meaningful impact for their employees, offering remote flexibility and a collaborative culture.
Lead end-to-end data engineering projects from discovery to production deployment, including complex data modeling and high-volume matching.
Design platform-agnostic data pipelines and schemas, ensuring scalability and performance across Snowflake, Databricks, and other platforms.
Define data integration strategies and communicate tradeoffs to clients, guiding architecture and tool selection.
Blend is a premier AI services provider that leverages data science, AI, and technology to drive client impact. The company fosters a culture of innovation and collaboration, working with global teams and clients.
Drive the technical direction of the ELT and data platform over a multi-quarter horizon, balancing strategic investments and technical debt.
Author high-quality design documents and provide architectural guidance across the codebase.
Mentor senior engineers and set standards for code quality, testing, and reliability.
This company operates a mission-driven healthcare data platform that powers critical analytics and product capabilities for complex healthcare operations. It is a remote-first organization with a collaborative culture focused on ownership, innovation, and mutual support.
Lead the vision, roadmap, and execution of the analytics engineering function.
Hire, develop, and manage a team of analytics engineers while setting standards for data modeling and quality.
Partner with cross-functional leaders to build reliable data foundations for AI and business decision-making.
1Password provides enterprise password management and unified access management to over 180,000 businesses. With over $400M in ARR and a spot on the Forbes Cloud 100 for four years, the company fosters a fast-paced, collaborative culture focused on security and productivity.
Build and maintain trusted data products using Snowflake, dbt, and Fivetran.
Design scalable data pipelines and improve data quality, observability, and governance.
Partner with stakeholders to turn ambiguous data needs into reliable platform capabilities.
Granum is the leading software company serving landscapers and arborists across North America, providing industry-specific solutions for estimating, scheduling, and invoicing. We have a collaborative, innovative culture and have been recognized multiple times as a Best Place to Work, with a team of around 100-200 employees.
Lead and grow a data engineering team to build an AI-ready data foundation for reliable analytics and governance.
Manage people, team processes, and cross-functional stakeholder alignment to improve data accessibility and trust.
Drive technical architecture for Snowflake-based platform, enterprise integrations, and data governance standards.
OpenSesame transforms workforce development with an AI-powered marketplace of skill-building courses and learning pathways. More than 2,000 companies, including 150+ of the Global 2000, rely on OpenSesame to develop the world's most productive and admired workforces.
Drive the technical direction of the ELT platform on a multi-quarter horizon, balancing strategic investments against pragmatic delivery.
Write design documents that anchor major initiatives and set the standard for how the team writes and reviews design work.
Mentor and coach senior engineers, set the growth path for engineers at every level, and remove constraints to enable the team to do bigger and better work.
IntusCare builds an end-to-end ecosystem for PACE programs to deliver exceptional care, strengthen financial performance, and stay compliant. We are a remote-first, distributed team committed to building a diverse and inclusive culture, passionate about the impact our platform has on dual-eligible seniors.
Design and optimize Snowflake data models for customer engagement, segmentation, and activation.
Build pipelines syncing customer data with platforms like Braze, Hightouch, and CDPs.
Collaborate with CRM, analytics, and marketing stakeholders to create unified customer profiles.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They operate in a remote-first international environment with a small, rapidly scaling team focused on technology-driven recruitment.
Design and maintain Snowflake data models for customer engagement, reporting, and audience activation.
Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing.
Collaborate with CRM, CDP, analytics, and marketing teams to ensure data supports business use cases.
Massive Rocket is a rapidly scaling Braze and Snowflake agency that transforms how digital marketing, product, and engineering teams connect. They have grown quickly in five years and are building a culture of ownership, collaboration, and growth.
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.
Design and ship data infrastructure at the core of modern data platforms, scalable pipelines, and reporting layers.
Work directly with the CEO and a small senior team, owning results from day one.
Build client-facing systems, translating business problems into architecture and delivering results.
Paradox Machines is a data and AI company that helps businesses make their data actually usable. They are a venture-backed company with a small, senior team that values ownership and impact.
Own the evolution of a modern data ecosystem spanning data platforms, third-party integrations, metrics, and end-user data capabilities.
Lead product strategy and execution for the data platform, balancing hands-on data understanding with strong product judgment and executive alignment.
Define and govern business metrics and data models, resolving competing definitions and creating trusted sources of truth across teams.
Our partner is a mission-driven company focused on improving access to and delivery of mental healthcare. They offer a collaborative, fast-paced startup environment with a supportive culture that prioritizes employee well-being, growth, inclusion, and belonging.
Define and drive Versapay's enterprise data strategy, aligning the data roadmap to product, AI, and commercial objectives.
Lead the architectural convergence of transactional, operational, and analytical data layers into a unified operational backbone.
Operationalize data governance and AI enablement, including automated classification, RBAC enforcement, and agentic readiness.
Versapay is a platform that rewires AR by removing barriers to collecting and reconciling B2B payments, providing end-to-end cash flow clarity. With 10,000 customers and 5M+ companies transacting, Versapay facilitates 110M+ transactions and processes $300B+ in payments volume annually.
Design and build scalable data pipelines and models for analytics and enterprise reporting.
Implement data validation and QA standards to ensure accuracy and reliability.
Collaborate with teams to translate reporting needs into well-modeled datasets.
Kin is an insurtech company that simplifies homeowners insurance, offering clear and affordable coverage especially in climate-risk areas. Founded in 2016, it is a remote-first employer with over 35 states represented and is recognized for its strong culture and growth.