Build and maintain data pipelines, warehouses, and the underlying infrastructure.
Develop AI agents and internal workflows on top of the data foundation to drive efficiency.
Enable the product and broader organization to make faster, data-driven decisions.
Duvo Inc. is a company that leverages data to create AI-native workflows and agents, enabling faster, data-driven decisions across the organization. They are a team focused on innovation and building efficient data foundations.
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 build data pipelines and data models that power analytics and reporting
Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy
Define and validate business metrics together with stakeholders, not just implement them
Constructor is the next-generation search and discovery platform for ecommerce, optimizing for revenue, conversion, and profit. We process over 1 billion daily queries across 150 languages and 100 countries, and we foster a culture of empathy, openness, and continuous improvement.
Build and maintain ETL/ELT pipelines to onboard new data sources and ensure reliable data delivery to the platform.
Collaborate with cross-functional teams to support data models, infrastructure, and data governance standards.
Explore and pilot new tools to improve pipeline reliability and onboarding speed.
B Lab is the nonprofit behind Certified B Corporations, a community of businesses that meet verified social, environmental, and governance standards. They are a global nonprofit with a mission-driven team working towards economic systems change.
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 maintain data pipelines connecting source systems like e-commerce, marketing, and finance platforms to a data warehouse in Google BigQuery.
Model the data warehouse with clear logic, develop transformation models with tests and documentation, and ensure data reliability and consistent definitions.
Manage platform security, including access controls, pipeline monitoring, and automating processes with versioning, code reviews, and automated tests.
Naturtreu develops dietary supplements to help people care for their bodies consciously. The company is a 100% remote digital brand that has grown continuously since 2018, reaching hundreds of thousands of people monthly, with a team that values responsibility, practicality, and execution.
Design and operate production-grade data pipelines for healthcare, identity, and campaign datasets using Python, SQL, Airflow, and Snowflake.
Implement maintainable data models and governed views for provider, claims, and audience data, ensuring privacy-by-design for PHI/PII.
Partner with product, analytics, and data science teams to translate business requirements into resilient technical solutions that power audience discovery and measurement.
Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to make marketing simpler. Founded in 2007 with offices worldwide, the company fosters a culture of trust and belonging, offering equity and wellness benefits to its employees.
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.
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.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Own the Data Layer end to end, including ingestion, medallion-style modeling, and serving layers.
Build and operate ingestion and transformation pipelines using modern orchestration and cloud data warehouses.
Operate AI coding agents (Claude Code) to ship production-quality data infrastructure at high velocity.
Proton is building the AI operating system for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. They are a venture-backed startup with hundreds of distributor customers, and they hire builders with high agency and urgency.
Design, build, and own custom data pipelines from source systems into our warehouse.
Build and operate Airflow DAGs for scheduled and event-triggered workflows.
Develop dbt models and a governed semantic layer that analysts, internal tools, and AI agents can trust.
Grüns provides comprehensive nutrition through convenient gummies made from whole-food ingredients. They are a high-growth remote company with a culture focused on ownership, impact, and high standards.
Design, build, and operate production AI systems, including agent orchestration and retrieval pipelines.
Architect and maintain marketing databases, pipelines, and the Customer Data Platform for advanced analytics.
Automate workflows with AI, ensuring data quality and reliability across end-to-end pipelines.
Samsara is the pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data to improve the safety, efficiency, and sustainability of their physical operations. It is a publicly-traded company with a culture of autonomy and support, encouraging rapid career development and a scrappy, fast-moving team environment.
Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time workloads.
Build and maintain scalable ETL/ELT pipelines using Python, SQL, Spark, and orchestration frameworks.
Partner with data scientists, ML engineers, and product teams to deliver data products and establish data quality frameworks.
Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of crypto products to individuals and institutions in over 70 countries. As a publicly traded company, Gemini is poised to accelerate the vision of reshaping the global financial system with greater scale, reach, and impact.
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.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
You ship scrapers and ingestion flows against messy, sometimes adversarial sources using HTTP/2 clients, TLS-fingerprint evasion, and browser automation fallbacks.
You own Postgres schema design and migrations end to end across per-country and per-domain schemas.
You build and maintain medallion transforms that are idempotent, content-hashed, and lineage-tracked.
Labrynth builds AI-powered platforms that navigate complex regulations and generate audit-level documentation. They operate as a small, high-velocity team embedded directly with clients to rapidly ship production-quality solutions.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
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.
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.