Lead and scale a team of data and analytics engineers, setting technical standards and fostering a culture of engineering rigor.
Own the end-to-end data platform architecture, including ingestion, warehouse modeling, governance, and security.
Act as product manager for data infrastructure, enabling self-serve analytics across all internal stakeholders.
Cherry is a fast-growing FinTech that offers the simplest BNPL solution for medical practices. Led by Stanford entrepreneurs and backed by top investors, the company is building a culture of data-driven decision-making.
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.
Define and execute the enterprise data governance strategy, including cataloging, lineage, and quality rules.
Implement platform-level governance controls in Snowflake, including RBAC, masking, and access policies.
Collaborate with cross-functional teams to embed governance into data products and pipelines.
AHEAD is a technology services company specializing in cloud and data platform solutions. The company culture is hands-on, engineering-driven, and collaborative.
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 architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.
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 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 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.
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 Engineers, driving technical excellence and engineering best practices.
Own end-to-end architecture and design of the data platform, ensuring scalability and reliability.
Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and DBT.
Coforge is a global digital services and solutions provider specializing in data engineering and cloud transformation. With over 20,000 employees, it fosters a culture of innovation, collaboration, and technical excellence.
Lead enterprise data platform migration and modernization projects.
Develop and optimize DBT models within Snowflake environments.
Design scalable data solutions and ensure data quality and governance.
Coforge is a global IT services and consulting company that delivers technology solutions to enterprises. It employs thousands of professionals and fosters a culture of innovation and collaboration.
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.
Design, build, test, deploy, and maintain scalable data pipelines, transformations, and data models on Snowflake.
Develop and productionize AI and machine learning solutions using Snowflake Cortex AI, including AI agents and retrieval experiences.
Implement data quality checks, automated testing, observability, error handling, and deployment controls for reliable production data and AI workloads.
FreedomPay provides a commerce platform for global enterprises, powering payments, security, identity, and data analytics. It is a fast-paced, high-growth company with a great culture and business casual atmosphere.
Design, develop, and maintain scalable data pipelines and transformation workflows within Snowflake.
Build and optimize ELT/ETL processes using SQL, Python, Snowpark, dbt, and Snowflake-native capabilities.
Improve platform performance and cost efficiency through query tuning, warehouse right-sizing, clustering strategies, and workload isolation.
BlueCloud is a Snowflake Elite Partner that helps enterprise organizations migrate from legacy systems to unified, AI-ready Snowflake platforms. With over 450 Snowflake consultants and 200+ enterprise transformations, the company combines advisory-led thinking with AI-powered accelerators to deliver faster results.
Architect and evolve our data platform using Snowflake and dbt.
Design and implement batch and streaming pipelines in AWS.
Establish best practices for data modeling, governance, and security.
BlueMatrix develops web applications for the authoring, distribution, and analysis of investment research. The team consists of ambitious professionals with offices across North America and Europe.
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.
Ensure reliability, scalability, and operational excellence of analytics and data systems.
Provide technical leadership and direction to an offshore contract team.
Drive incident response, automation, and data governance initiatives.
Workiva provides an AI-powered platform that unifies finance, risk, and sustainability for complex organizations. It is a large enterprise with a collaborative and innovative culture centered on data integrity and trust.
Architect and own the data platform end to end, including pipeline orchestration, dbt project, and warehouse infrastructure for peak performance and reliability.
Mentor and scale a high-performing distributed data engineering team, driving technical excellence through rigorous design reviews and architectural discipline.
Partner strategically across the business to translate ambiguous needs into scalable solutions, fixing classes of problems rather than individual instances.
Foodsmart is a leading telenutrition and foodcare solution backed by a network of Registered Dietitians, designed to foster healthier food choices and drive lasting behavior change. With over 2.2 million members and a $200 million investment from TPG's Rise Fund in 2024, the company values customer focus, urgency, and collaboration.
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.
Design and build the data systems that power analytics, AI, and business intelligence across Owner
Replace one-off custom scripts with reproducible, production-grade pipelines
Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers
Owner is an AI-native platform that replaces multiple tools for local business owners, starting with restaurants. The company has a low-hundreds team with top talent from successful SMB software companies and a remote-first global culture.