Architect scalable data platforms for analytics, ML/AI products, and customer-facing data products.
Build reliable batch and near-real-time pipelines that are scalable and cost-efficient.
Productionize ML and AI products and support LLM/VLM workflows.
Vidmob is a creative data company that provides scoring software and analytics to help marketers improve creative effectiveness. It partners with the world's largest marketers and agencies and operates a robust human-reinforcement learning model for creativity.
Design and maintain dbt models that encode business logic, metric definitions, and dimensional structures.
Own the AnswersNow QuickSight environment end-to-end including data source connections, SPICE datasets, and access controls.
Design and maintain outcomes reporting packages for external payor audiences, ensuring accuracy standards.
AnswersNow is a trailblazing virtual ABA therapy platform designed by clinicians to make autism therapy more immediate, accessible, and effective for families everywhere. The company operates fully remote with a team dedicated to reshaping autism therapy and making a meaningful impact.
Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts.
Build and maintain critical reporting data models that power external merchant reporting and strengthen the semantic layer for AI.
Partner with engineering and business stakeholders to translate ambiguous business questions into durable, well-tested data products.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. They are a remote-first organization with a strong culture of transparency, collaboration, and employee well-being.
Design and build scalable, fault-tolerant data pipelines for batch and streaming architectures.
Own data quality and observability end-to-end with monitoring, alerting, and automated testing.
Architect enterprise-grade datasets using appropriate modeling approaches like dimensional modeling or Data Vault.
The company builds foundational data infrastructure for analytics and AI at enterprise scale. The engineering team fosters a technically ambitious environment focused on long-term platform health and scalable architecture.
Deliver decision-ready analysis across Sales, Marketing, and Client Success, including pipeline health, funnel conversion, and retention drivers.
Build and maintain dbt models and marts for GTM domains with Salesforce as a core source, ensuring data quality and documentation.
Contribute to Lighthouse, our BI-as-code platform, pushing analytics workflows toward agentic AI to accelerate analysis and reduce manual reporting.
We are building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we are a Series C company that has hit $100M in annual recurring revenue with over 90,000 real estate professionals using our platform.
Define and lead the enterprise data architecture for Cordance Commerce, unifying reporting and analytics across multiple products.
Establish a practical migration strategy separating analytical workloads from transactional systems while preserving customer reporting.
Partner with DBAs, BI, Engineering, and business leaders to build a scalable, governed data platform.
We are dedicated to accelerating the growth of vertically focused B2B SaaS companies through acquisition and long-term guidance. We are experienced operators with a collaborative culture that values innovation and transparency.
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.
Design, build, and maintain serverless data pipelines on AWS using Lambda, Glue, Athena, S3, and Step Functions to support analytics and AI.
Develop ETL/ELT workflows to ingest, cleanse, and load data from internal and third-party sources into a data lake, ensuring data quality and reliability.
Collaborate with Analytics, Data Science, and AI teams to understand data requirements and create robust data models and feature stores.
ParetoHealth is redefining how employers fund healthcare as the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, it is a rapidly growing company driven by core values such as Fire in the Belly and For the Greater Good.
Design and maintain conceptual, logical and physical data models for analytical platforms.
Build and validate Data Vault 2.0 models and Kimball Star Schema Data Marts.
Collaborate with data architects, engineers, and business analysts to translate requirements into scalable data models.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, they are committed to delivering impactful, future-ready solutions.