Design and build scalable backend services and APIs for LaunchDarkly's Experimentation product.
Own backend components from discovery through monitoring and continuous improvement.
Collaborate with cross-functional teams to translate customer needs into reliable technical solutions.
LaunchDarkly is a feature management platform that helps developers release software faster and safer. The company fosters a collaborative, respectful, and inclusive culture with a focus on team empowerment.
Build and maintain secure connectors across data platforms like Google Drive, Slack, and Claude.
Partner with scientists to integrate lab data collection tools into a unified, queryable platform.
Design pipelines for messy real-world data and own end-to-end infrastructure, from schema to monitoring.
Ohr creates molecules from atoms up using biocatalysis and primordial chemistry, powering rockets and securing industries with cleaner, scalable systems. As an early-stage company with a small, urgent team, it cultivates a culture of vision, hustle, and collaboration.
Design and scale backend data infrastructure for PostgreSQL, Kafka, and GraphQL APIs.
Lead complex projects, own data pipelines, and collaborate with cross-functional teams.
Mentor engineers, draft RFCs, and drive architectural decisions for the Datastore.
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care, offering at-home EEG and diagnostics platforms. They are a growing team with a diverse, collaborative culture, emphasizing empathy and impact.
Build and run the data platform, including Snowflake administration, access governance, and ingestion orchestration.
Set technical direction for the medallion architecture, dbt project standards, and reliability practices.
Mentor engineers and analysts, establishing the technical bar for data engineering at Eve.
Eve is redefining legal technology for plaintiff law firms, providing AI-powered solutions that handle cases from intake to resolution. Trusted by over 1000 law firms and backed by $160M from top investors, the company is growing rapidly with a world-class team.
Design, build, and improve systems to reliably and efficiently process data at the scale of tens of terabytes per day.
Evaluate new technologies and set best-practice standards with Data Engineering and Data Platform Engineering.
Drive cross-functional projects with stakeholders across Mozilla and mentor teammates to develop engineering best practices.
Mozilla Corporation is a non-profit-backed technology company that makes pioneering brands like Firefox, the privacy-minded web browser, and works on diverse areas including AI, social media, security. The company is wholly owned by the non-profit Mozilla Foundation, with over 225 million monthly users, and focuses on making the internet better for people.
Architect scalable data platforms for analytics, ML/AI products, and customer-facing data products.
Build reliable batch and near-real-time pipelines that are scalable and cost-efficient.
Productionize ML and AI products and support LLM/VLM workflows.
Vidmob is a creative data company that provides scoring software and analytics to help marketers improve creative effectiveness. It partners with the world's largest marketers and agencies and operates a robust human-reinforcement learning model for creativity.
Own and evolve the core platform, including data model, APIs, and services.
Design and build backend systems for portfolio intelligence, including data aggregation and analysis at scale.
Build and maintain integrations with customer tools and make architectural decisions for growth.
Dragonboat provides an AI platform for Strategic Product and Portfolio Management, trusted by enterprises globally. It is a venture-backed, fast-growing SaaS startup with remote teams in Portugal and the US.
Design and build scalable backend systems and data pipelines for the enterprise SaaS platform.
Develop and maintain cloud infrastructure on GCP, ensuring reliability and performance.
Collaborate with cross-functional teams to translate requirements into technical solutions and drive engineering efficiency through automation.
LearnLux is a leading global provider of workplace financial wellbeing, blending digital planning with one-on-one guidance from Certified Financial Planners. The company is a venture-backed, series B startup with a growth-focused culture that values ownership, accountability, and high-quality work.
Architect and implement production-grade integrations and distributed data systems for enterprise customers using Python, SQL, and modern API development.
Transform legacy ETL/ELT workflows into modern, autonomous data pipelines across AWS, Azure, or GCP and Kubernetes.
Integrate AI APIs like OpenAI and Anthropic, and deliver solutions from kickoff to production within an 8-12 week Accelerator window.
Matillion is the company behind Maia, an AI Data Automation platform used by Cisco, DocuSign, and Slack. They started in Manchester and now have global teams across the UK, US, and India, with a driven, curious, and energetic culture.
Design and build the data systems that power analytics, AI, and business intelligence across Owner
Replace one-off custom scripts with reproducible, production-grade pipelines
Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers
Owner is an AI-native platform that replaces multiple tools for local business owners, starting with restaurants. The company has a low-hundreds team with top talent from successful SMB software companies and a remote-first global culture.
Design and optimize scalable data platforms, pipelines, and governance frameworks.
Lead data strategy and collaborate with leadership, engineering, and AI teams.
Mentor engineers and drive platform modernization with an AI-forward mindset.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009 with delivery centers in Canada, US, Eastern Europe, and Latin America, the company is a nimble alternative to traditional system integrators with teams averaging 15+ years of experience.
Build and maintain integrations against third-party billing APIs to expand vendor spend coverage.
Own data correctness, normalization, and end-to-end pipeline orchestration.
Work AI-augmented across the workflow, from prototyping to debugging and documentation.
DoiT is a global technology company that helps cloud-driven organizations leverage the cloud for growth and innovation. They are home to a global team of remote talent, with a culture that embraces entrepreneurship, learning, and fun.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold).
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts.
Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration.
Kitman Labs is a performance intelligence company that transforms how the sports industry uses data to unlock athlete potential. With over 2000 teams in 50 leagues across 6 continents, the company has assembled a team of top data scientists, sports performance scientists, and product specialists, fostering an innovative and collaborative culture.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it.
Collaborate daily with researchers and engineers who are some of the best in the world at what they do.
Build and maintain the high-performance data layer that Modeling teams rely on for training and evaluation jobs.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products. They are a global team of researchers, engineers, and designers passionate about their craft, with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
Design and build the control plane for our curated data lifecycle, tackling orchestration, backfills, restatements, retries, and partial failure recovery.
Decide dataset-by-dataset whether the answer is a model, service, or job, and own that architecture through production.
Work across Go, Kotlin, Rust, Python, and SQL, choosing the right tool rather than the familiar one.
Dune's mission is to make onchain finance observable. We are a tight knit team of ~50 hardworking people spread across Europe and eastern US timezones, having an outsized impact on the industry.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Build the foundational data platform for analytics, risk, and decision-making, migrating siloed data into a unified BigQuery warehouse.
Design and operate reliable ETL/ETL pipelines, consolidate fragmented data sources, and establish standards for ingestion, transformation, and documentation.
Own data quality, observability, and access controls while partnering with Data Science, Engineering, Risk, and Product teams.
Ondo Finance provides institutional-grade, blockchain-enabled investment products and services, developing decentralized finance technology and managing tokenized funds. Founded by Goldman Sachs Digital Assets alumni, the company is backed by top investors like Founders Fund and Coinbase Ventures, is well-capitalized and growing quickly, with a fully remote team across the U.S.
Own core data pipelines end to end, building and operating ELT pipelines that move data from product and third-party systems into Snowflake.
Build the data foundation for AIDE's AI initiatives, making governed data available for agentic AI tooling.
Own data governance and pipeline health, including access controls, data quality, and warehouse cost management.
Benchling is an AI platform for biotech R&D that enables scientists to design experiments, capture structured data, and run AI agents in their workflows. Over 200,000 scientists worldwide trust Benchling, and the company emphasizes AI fluency and innovation in its culture.