Build reusable data models and pipelines to become the source of truth for the Video product team.
Establish data and analysis infrastructure for scalable A/B testing and experimentation.
Develop predictive and causal models to improve forecasting, retention, pricing, and product strategy.
PlayOn is the largest platform for high school sports in the US, reaching millions of fans, parents, coaches, and student athletes across NFHS Network, MaxPreps, and GoFan. Backed by KKR, we are a growth-stage company on a mission to make high school sports more accessible, more memorable, and more connected than ever before.
Own and improve data ingestion and orchestration across the modern data stack.
Build a scalable, reliable, and cost-efficient Snowflake platform.
Partner on dbt architecture, testing, CI/CD, and data modeling best practices.
Nourish is an AI-native digital health system that matches patients with dietitians, physicians, medications, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, they have completed millions of appointments, tripled year-over-year, and raised $215M in total funding.
Design, build, and maintain a scalable data warehouse on Snowflake with clean models and documentation.
Implement data transformation with dbt to ensure reliable, well-tested pipelines.
Mentor analysts and peers, fostering a culture of learning and continuous improvement.
Age of Learning is a leading developer of Pre-K through 2nd grade learning resources. Having served over 55 million children worldwide, the company is a global leader in advancing equity, access, and opportunity for all children.
Own the day-to-day of user attribution and acquisition analytics across all channels.
Build and maintain data pipelines in Snowflake, Segment, and AppsFlyer.
Create automated KPI reporting for CAC, LTV, and payback period.
Splash Sports is a leading peer-to-peer sports gaming platform offering real-money contests across 40+ states. Backed by top investors and scaling fast, we have a fast-moving, venture-backed startup culture.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Define and own the enterprise data architecture strategy, including conceptual, logical, and physical data models across core domains.
Establish and govern data standards, naming conventions, schema design principles, and modeling best practices for data engineering teams.
Lead the design of scalable, reusable data products in the semantic and analytical layers, ensuring consistency across decision science and self-service consumption.
Goods & Services is a product design and engineering company that solves mission-critical challenges for large enterprises in regulated industries. Headquartered in the US, they operate regional development centers in Mexico and the UK, leveraging a nearshore model for scale and cultural alignment.
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.
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 and build robust data models and dashboards using dbt and modern BI tools like Count to support merchant and issuer success.
Develop analytical frameworks for merchant segmentation, performance metrics, and campaign measurement to drive strategic decisions.
Collaborate cross-functionally with sales, account management, and product teams to deliver analytics that support revenue growth and operational efficiency.
Kard is transforming customer loyalty with a rewards-as-a-service API platform, empowering partners from neobanks to financial institutions to offer tailored rewards. Backed by $30M from industry-leading investors, the company is reshaping customer engagement with a small, remote-first team.
Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases.
Optimize ETL/ELT workflows for performance, scalability, and fault tolerance, and develop dbt workflows for partner analysis.
Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products and support machine learning initiatives.
NinjaTrader is an industry-leading trading platform and futures broker that empowers traders with cutting-edge products and services. Since 2003, the company has grown to over 2 million users and is the number one rated futures brokerage worldwide, fostering a dynamic culture focused on social connection, professional development, and employee recognition.