Design and build data models using SQL, Python, DBT, and GCP tools to transform raw data into actionable metrics and data products.
Collaborate with technical and non-technical teams to define key business metrics, collect requirements, and share best practices for data-driven decisions.
Lead data modeling projects, choose appropriate tools, and ensure scalable solutions for petabyte-scale datasets while improving team processes and documentation.
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.
Design, develop, and maintain robust, scalable, and well-documented data pipelines.
Collaborate with the Tech Lead to ensure quality, performance, and maintainability of Data products.
Optimize data processing and operational costs while working closely with Data Analysts and Scientists.
Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality. Our 5,000 talents are committed to delivering tech and digital experiences across 110 countries, shaping the future of hospitality with a strong culture focused on development and sustainability.
Provide technical advocacy for analytics engineering practices, supporting users and communities through troubleshooting, debugging, and guidance.
Create educational resources like tutorials, documentation, and demos to promote best practices and modern data workflows.
Gather user feedback and translate insights into recommendations for product strategy and continuous improvement.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It processes applications to identify top-fitting candidates for hiring companies, focusing on transparency and fair evaluation.
Design, build, and improve production data models and products using SQL, dbt, Python, and BigQuery.
Turn business and customer questions into scalable solutions, owning delivery from scoping to actionable insights.
Partner with Product, Data Science, Engineering, and other teams to define requirements and manage expectations.
Lighthouse is a commercial strategy AI platform for hospitality, turning hotel data into real-time intelligence to drive revenue. With 850+ employees across 35 countries and over $100M in ARR, the company fosters a collaborative, innovative culture focused on customer success.
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, develop, and improve data solutions supporting business objectives.
Act as a technical reference for analytics, automation, and BI projects.
Translate business needs into scalable data models, pipelines, and process automations.
Jobgether is an AI-powered job matching platform connecting candidates with hiring companies. It uses AI to quickly review applications and share top-fitting candidates directly with employers.
Design and optimize modular dbt pipelines and performant technical schemas to set the team standard for data modeling.
Act as a technical bridge between Analytics, Operations, and Data Engineering to transform product requirements into robust data assets.
Diagnose performance bottlenecks and lower warehouse compute costs across modern data platforms, supporting migration to Snowflake.
Rula is a mental healthcare company dedicated to providing quality, evidence-based care to empower individuals. It is a remote-first company hiring in most U.S. states, with a culture focused on inclusion and employee well-being.
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.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into 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 collaborate to build solutions with real impact.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Drive business performance through proactive data analysis and actionable insights that land with leadership.
Own and evolve data pipelines, ensuring data is fresh, accurate, and trustworthy.
Build and maintain dbt models to serve recurring business needs across Growth, Finance, and Product.
Creative Fabrica is a subscription platform serving millions of creators, designers, and crafters worldwide. They are a fast-growing business with a small, collaborative team and a culture of ownership and intellectual curiosity.
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.
Data-Driven Culture: You will be an ambassador for our data-driven culture, shaping data to facilitate analysis and decision-making.
Data Management: You will ingest, clean, and organize raw data for team use.
Project Management: You will lead data projects from ingestion to reporting, handling ambiguity.
Super.com helps maximize lives by offering travel and financial products. As a fast-paced, high-growth tech company, we prioritize employee growth and career progression.
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.
Partner with product and business teams to drive rigorous analysis, from root cause to funnel drop-off, and turn data into prioritized recommendations.
Define and maintain metric definitions, set up tracking, and build automated reporting with alerting for KPI changes.
Design and interpret experiments, model data in dbt and BigQuery, and create AI-assisted analytics skills to scale impact.
We are building the operating system for value movement, enabling crypto, stablecoins, and tokenized assets. With 30M+ customers and 500+ ecosystem partners, we maintain a high-standards, high-velocity culture and are regulated across multiple regions.
Design and build scalable data pipelines for high-impact data products across multiple business domains.
Drive cloud data migration initiatives and modernize existing platforms using Azure-based solutions.
Collaborate with Data Analysts, ML Engineers, and business stakeholders to deliver robust end-to-end data solutions.
Redcare Pharmacy is Europe's No.1 e-pharmacy, driven by innovation and passionate teams to achieve the vision of global health. They foster a collaborative culture where every employee feels valued and inspired.
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.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.
Design and build data pipelines and data models that power analytics and reporting
Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy
Define and validate business metrics together with stakeholders, not just implement them
Constructor is the next-generation search and discovery platform for ecommerce, optimizing for revenue, conversion, and profit. We process over 1 billion daily queries across 150 languages and 100 countries, and we foster a culture of empathy, openness, and continuous improvement.
Design, develop, and maintain automated data pipelines and analytics solutions.
Automate manual reporting processes and repetitive data workflows.
Optimize SQL queries, data models, and processing performance.
Blend is a premier AI services provider that co-creates meaningful impact through data science, AI, technology, and people. The company is dedicated to unlocking value and fostering innovation for clients, with a focus on blending human expertise with artificial intelligence.