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.
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.
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.
Build and own the data platform backbone for governed reporting and trusted AI workflows on a small Data & AI team.
Drive architecture strategy, including ingestion patterns, Snowflake design, data contracts, and SLAs, while executing hands-on pipeline work.
Ensure data quality, governance, and reliability through observability, anomaly detection, and AI-enabled automation.
Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. Since 2008, it has supported over 55,000 merchants with over $4 billion in capital and grown to nearly 200 employees with a collaborative, partner-centric culture.
Lead and mentor a team of data and analytics engineers, including hiring, performance management, and career development.
Define the data engineering and analytics roadmap, prioritizing data platform investments and cross-functional initiatives.
Oversee data infrastructure design, reliability, and governance, ensuring accurate dashboards and analytics delivery.
Serve Robotics is reimagining urban deliveries with personable sidewalk robots. We are a team of tech industry veterans in software, hardware, and design, agile, diverse, and driven, focused on collaborative problem-solving.
Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.
YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
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.
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.
Lead a high-impact data engineering team building the industry's first holistic real estate data engine.
Define and evolve the data platform strategy including ingestion, modeling, governance, and self-serve analytics.
Partner cross-functionally with Product, Analytics, and Engineering to ensure data enables customer and business outcomes.
Built is an AI-powered platform that connects and simplifies doing business in real estate, transforming how the industry finances, develops, and manages properties. They partner with over 350 lenders and 80,000 borrowers, powering 86,000 active projects valued at more than $300 billion.
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 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.
Lead the strategy, architecture, and execution of a scalable data ecosystem for business intelligence and AI.
Manage and grow a team of data platform engineers, fostering a culture of technical excellence.
Partner with product and analytics teams to deliver data-driven customer experiences and insights.
Jobgether is a platform that uses AI-powered matching to connect job seekers with hiring companies. They operate a remote-first environment and focus on providing a streamlined application process.
Define data architecture and platform strategy for enterprise data platforms.
Build and optimize scalable data pipelines supporting batch and real-time processing.
Mentor junior engineers and partner with leadership on data strategy.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009, with delivery centers across North America and Europe, our teams average 15+ years of experience and we value craft, speed, and ownership.
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines for user-facing features.
Contribute to architecture decisions, observability tooling, and data quality initiatives to keep the platform robust.
Enforce engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
Lead the design and implementation of the enterprise data warehouse on Databricks, migrating from BigQuery.
Build scalable ETL/ELT pipelines and dimensional data models to support internal analytics.
Establish data warehouse standards, governance, and best practices across the organization.
Bloomerang is a nonprofit giving platform that helps tens of thousands of nonprofits raise more, recruit more, and retain more. The company has a mission-driven culture built on core values of Simplify, Care, and Act.
Build and own data pipelines, models, and infrastructure that turn raw labor market data into systems connecting people to jobs.
Shape data modeling in the warehouse, ensure trustworthy analytics and reporting, and build pipelines for matching and recommendation models.
Partner closely with Engineering, Product, and VP of Data & AI to decide how the platform is built.
FutureFit AI is an AI-powered platform that helps people get better jobs faster, focusing on those facing barriers to opportunity. The company has 30-50 employees across the US and Canada, with a culture of high trust, high impact, and a will to win.
Design and deliver near real-time data solutions for the analytics platform.
Analyze business needs, optimize data models, and identify slow queries for performance improvement.
Write clean, scalable code using Scala, Python, and SQL while mentoring team members.
Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide. It is a unicorn startup with offices across multiple countries and a focus on innovation and collaboration.
Design and implement scalable data platforms using Snowflake, Databricks, and AWS.
Build AI-ready data architectures supporting analytics, ML, and LLM applications.
Establish data governance, security, and best practices while mentoring engineering teams.
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.
Build and own data quality and observability across a data platform, profiling data and defining quality rules to catch issues early.
Establish quality metrics, monitoring, and alerting, and track quality SLAs while investigating and resolving data issues at their source.
Partner with data engineering and business stakeholders on quality standards and reporting, leveraging strong SQL and Snowflake expertise.
Allocate is transforming private market investing by enabling RIAs and family offices to discover, model, and manage private market exposure through a data-rich platform. They are a growth-stage company that values meritocracy, civil discourse, and continuous improvement, embracing technological change especially around AI and automation.