Support deployment of scalable infrastructure and tooling (e.g., Snowflake, dbt, AWS, Sigma) to support analytics and reporting.
Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights.
Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance.
Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. The company is backed by several venture firms and led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care.
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.
Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments.
Build scalable datasets that support cloud cost visibility, attribution, usage analysis, and performance insights.
Optimize data pipelines and systems for performance, reliability, and cost efficiency.
This organization designs and maintains scalable data pipelines for cloud cost visibility and performance insights. Team size and culture are not specified in the posting.
Act as a strategic analytics partner for teams across the business, transforming complex questions into actionable insights.
Build reliable datasets, dashboards, and analytics foundations to enable faster and smarter decision-making.
Improve how teams use AI-powered data tools by ensuring accuracy, trustworthiness, and meaningful insights.
Our partner is a fast-growing technology company backed by leading investors. They have a remote-first culture with a collaborative environment focused on ownership and transparency.
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.
Owns and evolves the enterprise data model across core corporate systems.
Establishes data standards, governance processes, and field-level mapping frameworks.
Partners with Data Engineering and Information Security to ensure data quality and compliance.
ConnectWise is a global software company that provides solutions for technology solution providers to manage their businesses and deliver amazing customer experiences. With over 3,000 colleagues worldwide, it fosters an inclusive, positive culture that values unique contributions.
Design and refine deduplication logic for complex scenarios, using SQL and Python to automate processes.
Integrate AI tools for predictive duplicate detection and build real-time dashboards for metrics.
Collaborate with Engineering and Sales teams to improve data quality and drive actionable insights.
Motive empowers those who run physical operations with tools to make work safer, more productive, and more profitable. Serving nearly 100,000 customers across industries, Motive values diversity and inclusion.
Own the roadmap for CDP, identity resolution, and data enrichment to enable marketing operations and revenue teams.
Lead identity graph expansion and drive data quality SLOs for real-time personalization and attribution accuracy.
Enable AI/ML at scale by ensuring data pipelines support predictive scoring and churn models.
We are a global market leader providing an intelligent cloud-based platform that connects people, systems, and processes to empower organizations. We serve over 8,100 customers, including 85% of the Fortune 500, and foster a culture of innovation and purpose to make the world work better.
Lead the development of scalable, trusted data products for Affirm's revenue teams.
Design and build durable, well-tested data products that power revenue operations and reporting.
Advance AI initiatives within the revenue data ecosystem by identifying high-value use cases.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. Affirm is a publicly traded financial technology company with thousands of employees, known for its people-first culture and remote-first work environment.
Build and maintain scalable data pipelines using Python, dbt, and Snowflake-native tooling on AWS.
Develop and maintain Snowflake semantic views to support analytics and reporting needs.
Implement data access controls and ensure pipelines meet enterprise data governance standards.
The Enterprise Analytics Center of Excellence is building a next-generation analytics stack centered on Snowflake, AWS, and Sigma. The team focuses on collaboration, continuous improvement, and enabling analytics teams with reliable data.