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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Serve as a senior technical leader defining architecture, engineering standards, and best practices for the enterprise data platform.
Drive platform modernization by partnering with engineering leadership to build scalable, reliable, and well-governed data systems.
Lead technical design processes, conduct design reviews, and mentor engineers on best practices and technical leadership.
Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, enabling real estate owners and operators to bring their visions of communities to life. The WDTech team is a group of collaborative and highly skilled technology professionals committed to innovation and disrupting the old-fashioned real estate industry.
Lead team of engineers driving data engineering standards and initiatives across Applied's platforms.
Drive high-visibility, cross-functional initiatives in close collaboration with Product, Architecture, and Engineering teams.
Build and standardize data engineering best practices as part of a newly formed team.
We transform the insurance industry with innovative software and services. With 40+ years of experience in insurtech, we have a culture that values diversity and inclusion.
Collaborate with product managers, data analysts, and ML engineers to develop pipelines and ETL tasks for insights.
Establish data architecture processes that are scheduled, automated, and replicated as standards.
Manage individual Data Engineers to foster learning, growth, and success.
Doximity is the leading digital platform for U.S. medical professionals, with over 85% of physicians as members. We are a distributed team of doers passionate about improving healthcare.
Oversee the full lifecycle of data products within the Data Core team, from ideation to operation and continuous optimization.
Ensure the data infrastructure (Databricks, Unity Catalog, data lake) operates with excellence, reliability, and scalability.
Lead and develop a cross-functional team of data engineers, scientists, and analytics experts, balancing long-term vision with hands-on execution.
We help large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, we are 8,000 CI&Ters in over 25 countries, collaborating to build solutions with real impact.
Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
Build and optimize data models in Snowflake for analytics and operational reporting.
Collaborate with business stakeholders to translate requirements into scalable data solutions.
Oowlish is a rapidly expanding software development company based in Latin America, collaborating with premier clients from the United States and Europe on pioneering digital solutions. Certified as a Great Place to Work, we offer remote work and a nurturing environment with opportunities for professional development and international impact.
Architect a greenfield, multi-layer data warehouse that separates analytical workloads from production traffic.
Build a semantic and metrics layer to ensure consistent metrics across all dashboards and products.
Own data quality, governance, multi-tenancy, and traceability for a scalable data platform.
Gather AI pioneers a vision-powered platform using autonomous drones to digitize warehouse workflows, capturing real-time data to improve efficiency and safety. As a leader in the robotics industry, the company fosters a collaborative culture focused on transforming the global supply chain.
Design and maintain scalable batch and near real-time data pipelines in Databricks, integrating data from various sources.
Build unified customer profiles and support identity resolution, deduplication, enrichment, and Golden Record creation.
Enable CRM and marketing teams to access trusted, activation-ready customer data with minimal latency.
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 aiming for $100M in revenue, with a culture of ownership, collaboration, and growth.