Partner with analytics, marketing, and product teams to understand data needs and build systems for AI applications to access trusted data at scale.
Define standards, infrastructure, and governance for AI-driven experiences, ensuring data reliability, security, and usability.
Drive projects from design through production deployment, implementing data security and governance practices for sensitive data.
Rula is a mental healthcare company dedicated to treating the whole person with evidence-based, compassionate care. They are a remote-first organization with a focus on diversity, equity, and inclusion, hiring in most US states.
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.
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.
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.
Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.
Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented 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.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Design, build, and operate data pipelines processing terabytes of transactional data daily using Airflow, BigQuery, and GCP services.
Own end-to-end data models and transformations powering merchant analytics, operational reporting, and ML features.
Improve data quality, lineage, and observability through testing, alerting, and validation frameworks.
Narvar is building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers, powering analytics, ML, and merchant-facing products for over 1,500 brand partners. The company serves 125+ million consumers worldwide across 38 countries and 55 languages, fostering a culture of innovation, collaboration, and inclusivity.
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.
Own end-to-end design and reliability of large-scale data acquisition systems using AI and LLMs for self-healing pipelines.
Build and maintain data serving layers, ETL/ELT pipelines, and reporting systems for real-time insights.
Collaborate with engineering and product leadership to shape AI-native data infrastructure.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies by using automated screening to ensure fair and objective application reviews. They operate in a fast-paced, high-growth environment combining startup innovation with enterprise stability.
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.
Own the gold data layer by transforming silver tables into curated, semantically rich datasets for AI model development.
Reverse-engineer data semantics by collaborating with product engineers, clinical experts, and analyzing SQL queries and stored procedures.
Build pipelines for reuse, automate quality filtering and synthesis, and maintain reproducible dataset snapshots.
PointClickCare is a leading health tech company that helps providers deliver exceptional care through AI and data. Privately held and founder-led, they serve over 30,000 organizations, were recognized as a top private cloud company by Forbes, and have one of Canada's Most Admired Corporate Cultures.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
Enable self-service and mesh architecture while implementing robust governance and observability frameworks.
Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Build and scale reliable data infrastructure powering analytics, AI-driven decision-making, and smarter growth across n8n.
Own critical parts of the modern data stack, including end-to-end data pipelines using dbt on BigQuery and orchestration with Dagster.
Enable analytics, AI use cases, and marketing attribution by delivering trusted datasets and scalable data products.
n8n is an open workflow orchestration platform built for the new era of AI, giving technical teams the freedom of code with the speed of no-code. The company has grown to a team of over 260 across Europe and the US, backed by top investors, with a culture of builder spirit and remote-first collaboration.
Design and build production data pipelines on Databricks using medallion architecture and Data Vault 2.0.
Harden curated and presentation layers to drive donor lifetime value, retention, and campaign ROI.
Build identity resolution and data observability to ensure trustworthy data for 24,000+ nonprofits and AI agents.
Bloomerang offers a giving platform and support for nonprofits to raise more and retain donors. They serve tens of thousands of nonprofits and have a culture built on core values of Simplify, Care, and Act.
Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases.
Develop reusable frameworks, services, and workflows to standardize how teams build and manage data pipelines and data products.
Partner with Analytics, Applied-AI, and Engineering teams to deliver platform capabilities that support business and clinical decision-making.
Omada Health is on a mission to bend the curve of chronic disease by providing a virtual-first care model that combines human-led care teams, connected devices, and AI-enabled technology. They have served over two million members and are a publicly traded company with a culture of trust, context, boldness, results, and teamwork.
Develop tools and applications in Python for data processing, analysis, and forecasting.
Design and optimize Python/Snowflake-based data pipelines for ingesting, cleaning, and transforming data.
Collaborate with global technical and analyst teams to gather requirements and build innovative analytical solutions.
IDC provides trusted technology intelligence for business and technology leaders. With over 1,000 analysts globally, the company fosters a culture of rigor, integrity, and shared success.