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 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, build, maintain, and optimise scalable data pipelines using Dagster, Python, and Snowflake.
Write clean, efficient, well-documented code and ensuring quality and scalability of the codebase.
Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we are a high-performance team operating at pace with high ownership and constant iteration.
Build and maintain custom integrations and ETL processes between K-12 data and internal/external systems.
Design, implement, and optimize data pipelines to support school operations.
Collaborate with stakeholders to understand data needs and deliver robust, scalable solutions.
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. The company offers an inclusive culture with flexible PTO, comprehensive health benefits, and professional development allowances.
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.
Own the agent layer orchestrating specialist agents for investor research, outreach, and conversations.
Build and scale the matching engine using embeddings, ranking, and feedback loops.
Ship production code end to end with Python, Postgres, and AI tooling.
Paires is a fundraising platform that pairs founders with investors using AI agents for outreach and relationship management. It is a small, senior, flat team that is profitable and self-funded.
Architect and implement scalable ETL and data pipelines for real-time risk management and advanced analytics.
Design, develop, and optimize distributed data storage solutions for high performance and reliability at scale.
Drive schema evolution, data modeling, and pipeline orchestration with ownership of end-to-end data flow.
Oscilar builds the most advanced AI Risk Decisioning™ Platform for banks, fintechs, and digitally native organizations to manage fraud, credit, and compliance risk. The company is mission-driven with a remote-first culture and team members from Meta, Uber, Citi, and Confluent.
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 and build production data pipelines on Databricks using medallion architecture and Data Vault 2.0.
Harden curated and presentation layers to drive donor lifetime value, retention, and campaign ROI.
Build identity resolution and data observability to ensure trustworthy data for 24,000+ nonprofits and AI agents.
Bloomerang offers a giving platform and support for nonprofits to raise more and retain donors. They serve tens of thousands of nonprofits and have a culture built on core values of Simplify, Care, and Act.
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.
Own data architecture at Buildkite, setting the strategy and technical direction for the entire data effort.
Design for agents and humans both, making data discoverable, trustworthy, and safe to act on.
Choose the stack—query engines, semantic layer, ingestion, streaming, and storage—rather than inherit it, and stay hands-on where it counts.
Buildkite provides a continuous integration and deployment platform for software teams, with a focus on developer tools and CI/CD. The company is a remote-first organization of about 150 people, fostering a flat, high-autonomy culture that values deep focus and genuine team overlap.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
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.
Design and optimize large-scale ETL pipelines using Python, PySpark, SQL, DBT, and cloud-based data platforms.
Define technical vision and architecture for data integration solutions, ensuring scalability and reliability.
Lead technical initiatives, mentor engineers, and collaborate with cross-functional teams to deliver high-quality data solutions.
Jobgether uses AI-powered matching to connect candidates with job opportunities at partner companies. They focus on efficient, objective recruitment processes for a fast-growing remote-first environment.
Architect and scale data systems for analytics, ML/AI products, reporting, and APIs.
Own the full data lifecycle including ingestion, transformation, modeling, validation, and serving.
Partner with Data Science to productionize models and build reliable data foundations for AI-driven products.
Vidmob is the creative data company that provides scoring software and analytics to help marketers and agencies drive business results through improved creative effectiveness. They partner with top marketers and agencies worldwide and operate the industry's most robustly instrumented human-reinforcement learning model for creativity.
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse.
Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices.
Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
An international product company building SaaS products, AI-powered solutions, and modern web and mobile applications for global markets. They are scaling and investing in a modern data platform, with a collaborative, product-focused team.
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.
Participate in all initiatives to satisfy compliance, security, and regulatory needs while designing and building data platform capabilities.
Implement processes and tools enabling product engineering and BI teams to consume an extensible, governed data platform.
Provide technical guidance and mentorship on data platform adoption and maintain existing software services code.
SRS Acquiom delivers a platform and services to manage complex M&A and loan agency transactions efficiently. Based in Denver with offices across the US and in London and Amsterdam, the company has supported over 11,500 transactions globally since 2007, fostering a culture of entrepreneurial energy, growth, and innovation.
Design, implement, and maintain ETL/ELT pipelines for clean, scalable data flows across multiple systems.
Own data warehouse architecture, including partitioning, access controls, and security in partnership with Security and Infrastructure teams.
Champion data quality and governance, building dashboards and analytics to deliver actionable insights for leadership and cross-functional teams.
CertifID protects life's largest transactions from fraud, helping title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. They are a growth-minded team passionate about securing sensitive data and transforming fraud prevention.