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.
Architect the Operations Intelligence Warehouse, leading the cleanup and design of operational data in BigQuery.
Set data modeling standards with dbt, building dimensional models with testing, lineage, and version control.
Instrument the operation with dashboards and metrics for real-time visibility into throughput, cycle time, and yield.
Collective is on a mission to redefine the way businesses-of-one work, providing an integrated platform for business incorporation, accounting, bookkeeping, and tax services. Backed by General Catalyst, Sound Ventures, and other prominent investors, the company empowers self-employed individuals to achieve tax savings and financial independence.
Act as bridge between business and technology, translating complex requirements into robust technical solutions.
Own the complete lifecycle of data products from ingestion through modeling, validation, and delivery.
Implement rigorous data validation processes and ensure data accuracy and integrity for AI and analytics.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they accelerate innovation and collaborate to build impactful solutions.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns.
Build robust Python data pipelines with testing, linting, and CI/CD integration.
Support Data Scientists in moving work from notebook to production pipeline.
Kitman Labs is a performance intelligence company disrupting the sports industry by using data to unlock athlete potential. Their team of top data scientists, performance scientists, and engineers serves over 2000 teams in 50 leagues globally, fostering an innovative and world-class culture.
Collaborate with Finance stakeholders to understand requirements and deliver data models for financial reporting.
Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices.
Apply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation.
Seismic is a software company that provides a sales enablement platform. The Corporate Data & Analytics team builds data assets for financial reporting and planning across the business.
Lead the Analytics Engineering team to build a trusted semantic metrics layer powering decision-making across the company.
Partner cross-functionally with Engineering, Product, Data Science, Finance, and Executive Leadership to define data strategy and ensure scalable, accessible data.
Drive technical excellence in data modeling, governance, and infrastructure while managing and developing a high-performing team.
HighLevel is an AI-powered business operating system that provides agencies, entrepreneurs, and SMBs with infrastructure to build, automate, and scale their operations. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership, fostering a culture of initiative, clarity, and execution.
Own business intelligence reporting and analytics, transforming raw data into clear, dynamic reporting that drives decision-making across the company.
Design, build, and maintain compelling reporting in Looker, and work directly with stakeholders across Sales, Marketing, Customer Success, Product, and Finance.
Write clean SQL, build data models in dbt, and analyze large datasets to provide solid recommendations to leadership.
Teramind is a global leader in user behavior analytics, insider risk management, and workforce intelligence, using a predictive, AI-driven approach to safeguard organizations' people, data, and operations. They have been a fully-remote team since 2014 and offer competitive compensation and career growth opportunities.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Take ownership of our dbt pipeline, improving data models for reliability and testing.
Maintain and extend our Looker setup, shipping new dashboards for stakeholders.
Strengthen data pipelines from Postgres to BigQuery and automate with Python.
Cosuno is a fast-growing tech startup revolutionizing construction through a digital platform for tenders and procurement. With a focus on diversity and inclusion, the team enjoys regular off-sites and a collaborative 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.
Own the transformation layer, including design, build, and maintenance of complex dbt models for internal and customer analytics.
Manage and monitor data ingestion pipelines to ensure high availability and low latency.
Optimise cloud data warehouse performance and build automated testing frameworks to proactively catch data issues.
i6 provides the world’s most advanced end-to-end aviation fuel management technology, enabling operational efficiency, transparency, and sustainability for airlines and fuel suppliers. They are a remote-first company with offices in the UK and recently raised Series B funding.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Partner with stakeholders to understand recurring data needs and build self-serve analytics solutions such as trusted datasets and templates.
Design and implement scalable tools using SQL, Python, and BI platforms like Looker to improve data access and usability.
Create training, documentation, and enablement sessions to teach teams how to find and analyze data independently.
Fullscript is a health technology company that builds tools to help practitioners deliver better care through clinical insights, lab interpretations, and patient analytics. With over 125,000 practitioners and 10 million patients, they foster a people-first, collaborative culture focused on impact and growth.
Support building robust pipelines and data models downstream of backend services (mostly in BigQuery) supporting internal reporting, machine learning, and financial use cases.
Optimize the Data Warehouse, spotting and raising opportunities to reduce complexity and cost.
Help define and manage best practices for the Data Warehouse, including payload design, logical modelling, metadata, and testing standards.
Monzo is a digital bank on a mission to make money work for everyone, offering personal, business, joint, kids accounts, savings, investments, and pensions. They have grown significantly over the last decade and are known for award-winning customer service and innovative products.
Own data end to end, from raw source to analysis that drives decisions for growth, finance, and product.
Build and operate pipelines in BigQuery with Airflow, model in dbt, and deliver analysis in Hex.
Work AI-first, using modern tooling to move faster while staying accountable for production output.
Supabase provides a complete backend platform including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search, built by developers for developers. With 280+ team members across 55+ countries and $500M raised, they are open-source-first and globally distributed.
Build and maintain analytical tooling and data infrastructure for Reddit's Large Customer Sales channel using BigQuery and SQL.
Drive sales rigor and optimize performance by translating complex data insights into actionable business strategies.
Partner with cross-functional teams including Sales, Finance, and Data Science to shape revenue strategy and build AI-ready data foundations.
Reddit is a community of communities, built on shared interests and authentic conversations. With over 100,000 active communities and approximately 126 million daily active users, it is one of the internet's largest information sources, fostering an open and passionate 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.
Design and build end-to-end data solutions for Core products, including data ingestion, modeling, and semantic layer development.
Develop and maintain analytics-ready data platforms using Snowflake, dbt, and Looker, supporting provider sales and operational metrics.
Mentor junior team members and champion data governance practices to ensure data quality and consistency.
PatientPoint is a digital health company that transforms healthcare by delivering behavior-changing content at critical moments of care. It is the nation's largest digital network in 30,000 physician offices, with a purpose-driven and collaborative culture.
Design and build scalable data models and pipelines using Snowflake and dbt.
Collaborate with cross-functional stakeholders to translate business needs into data solutions.
Establish best practices for data modeling, metrics, and documentation to enable self-service analytics.
The company is a remote-first SaaS provider building scalable solutions for enterprise customers. It fosters a culture of ownership, collaboration, and continuous innovation.
Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture.
Build AI-powered capabilities such as data/AI agents and natural-language interfaces to amplify team productivity.
Partner with analysts and stakeholders to turn loosely defined needs into clear, well-scoped technical work.
Wellhub is a platform that connects employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep through a simple subscription. Headquartered in NYC with team members in Europe, North America, and South America, we are on a mission to make every company a wellness company with a team that values wellbeing, collaboration, and diverse perspectives.