Define and execute the long-term data strategy and architecture, ensuring scalable, reliable, and trusted data foundations.
Design, build, maintain, and optimize high-impact data pipelines connecting business systems, internal platforms, and data warehouses.
Lead a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics, driving team growth and technical excellence.
This company is a fast-growing technology organization that leverages data and AI to drive innovation. It fosters a collaborative environment with a strong emphasis on growth, ownership, and technical excellence.
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.
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.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
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 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 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.
Build and maintain internal tooling for the data team, including CLIs, automation scripts, and observability dashboards.
Define and manage Snowflake infrastructure as code via Terraform, ensuring performance and security.
Own data quality frameworks and CI/CD workflows for reliable data delivery across the organization.
Zensurance is an InsurTech company that provides digital-first commercial insurance solutions for Canadian businesses. They are a fast-growing company recognized for industry impact, with a collaborative and innovative culture.
Lead the strategy and execution of the data function, owning the complete data stack and architecture.
Establish strong data governance practices and scalable dbt models to enable self-service analytics.
Partner with engineering and business leaders to define KPIs, develop experimentation frameworks, and drive data-driven decisions.
AIOS is a technology company that builds and operates a data platform. They are a rapidly growing organization with a high-performance culture focused on data-driven decision-making.
Support deployment of scalable infrastructure and tooling (e.g., Snowflake, dbt, AWS, Sigma) to support analytics and reporting.
Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights.
Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance.
Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. The company is backed by several venture firms and led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care.
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 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 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 a team of data engineers to design and optimize scalable data solutions.
Architect and implement large-scale streaming and batch data processing using Kafka, Spark, and Hadoop.
Collaborate with cross-functional teams to define data strategies and ensure data governance and quality.
The company is a technology-focused organization that builds scalable data platforms. It offers a fully remote work environment with a collaborative culture and international teams.
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.
Design, build, and scale reliable data infrastructure for products, analytics, and AI.
Lead technical evolution of the data platform toward AI-ready architecture.
Define data governance standards and mentor data engineering teams.
Our partner is a fast-growing fintech company focused on improving retirement access. They foster a mission-driven culture with opportunities for innovation and collaboration.
Lead the design and delivery of scalable data solutions within a modern data engineering environment.
Act as a technical leader collaborating with business and IT stakeholders to transform complex requirements into effective architectures.
Build and optimize data platforms using advanced technologies such as Python, Snowflake, and SQL.
The partner company focuses on data-driven solutions and modern data engineering. The company size is not disclosed, but it offers remote work and collaboration with global teams.
Design and implement scalable lakehouse architectures using Bronze, Silver, and Gold patterns with technologies like Kafka, Spark, and Airflow.
Build and manage high-performance streaming and batch data pipelines and open table format solutions such as Iceberg, Delta Lake, and Hudi.
Optimize distributed query environments, maintain platform reliability, and partner with data scientists and product teams to deliver impactful data capabilities.
The partner company is building scalable data platforms that power analytics, machine learning, and next-generation products. They offer a collaborative and supportive work environment focused on innovation and continuous learning.
Lead a team building data platforms and ML operations infrastructure.
Own reliability, scalability, and continuous improvement of analytics systems.
Collaborate with data scientists and leaders to deliver impactful ML solutions.
The company builds advanced data and machine learning platforms that power analytics and intelligent products. Its culture emphasizes innovation, reliability, and inclusivity, supporting professional growth and technical excellence.
Own the design, delivery, and operation of major data products including ETL pipelines and storage solutions.
Partner with engineering, product, and business stakeholders to define solutions and drive projects from design to production.
Mentor engineers, lead technical strategy, and participate in on-call rotation for production systems.
Lime is the largest global shared micromobility company, on a mission to make transportation shared, affordable, and carbon-free. It has powered over one billion rides across 30 countries and is a Time 100 Most Influential Company.