Build production data pipelines, LLM applications, agents, and workflow automations that meet spec and hold up under real load.
Own implementation decisions within your scope and be accountable for the quality, testing, and reliability of what you ship.
Engage directly with client engineers and stakeholders with support from senior team members, and build your range by picking up new tools as engagements require.
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, build, and own custom data pipelines from source systems into our warehouse.
Build and operate Airflow DAGs for scheduled and event-triggered workflows.
Develop dbt models and a governed semantic layer that analysts, internal tools, and AI agents can trust.
Grüns provides comprehensive nutrition through convenient gummies made from whole-food ingredients. They are a high-growth remote company with a culture focused on ownership, impact, and high standards.
Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
Build and maintain scalable batch data pipelines and analytical models, reworking legacy SQL and ETL.
Use GCP, Python, and AI-assisted automation to enhance data engineering workflows and data quality.
Social Discovery Group is a group of social discovery companies solving loneliness and disconnection by creating platforms that connect people globally. The international team of digital nomads works remotely, and the company is a two-time 'Great Place to Work' winner.
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 implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
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.
Design and build data pipelines for ML use cases, implementing data versioning and orchestration.
Deploy data scientists' scripts and models from notebooks to production, managing Python dependencies and CI/CD.
Optimize data processing jobs for performance and cost on distributed systems and cloud data services.
NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together two industry leaders with unparalleled global reach, operating in 100+ markets.
Design and build scalable data pipelines and schemas for client engagements.
Lead data architecture and modeling discussions, weighing tradeoffs.
Mentor teammates and contribute to 8th Light's culture and values.
8th Light is a technology solutions consultancy that partners with organizations to build software, platforms, and agentic products. Founded in 2006, the company fosters an open, collaborative culture grounded in honesty and continuous learning.
Build production-quality agents, integrations, and data pipelines at customer sites on Redpanda ADP.
Work in unfamiliar codebases and data environments, ramping quickly and building without breaking.
Own the technical deliverable from design to handoff, ensuring it runs in production.
Redpanda is a unified platform for agent-data interaction, combining streaming, SQL analytics, and governance for AI agents. It is trusted by Fortune 500 companies and startups, with a global team and a culture of transparency and kindness.
Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
Mentor junior engineers and raise team-wide engineering standards
Optimize and monitor production workflows using tools like Airflow, dbt, and AWS
Cohere Health's clinical intelligence platform connects health plans and providers to optimize care. We are a growing company backed by leading investors, with a culture of empathy and collaboration.
Design, build, and maintain data pipelines using Airflow and Trino to ingest and process data from multiple systems.
Improve observability by implementing monitoring, validation, and alerting to ensure data accuracy and consistency.
Collaborate with cross-functional teams to define data requirements and deliver effective solutions.
SweedPos builds an all-in-one cannabis retail platform combining POS, eCommerce, Marketing, Analytics, and Inventory Management. With over 200 employees, they operate as a remote-first, product-driven startup focused on simplicity and innovation.
Design, build, and maintain scalable data pipelines using Python and AWS DynamoDB.
Develop and optimize DynamoDB data models and indexing strategies for high throughput.
Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities.
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.
Own the design, development, and iteration of complex data systems from raw ingestion through transformation and modeling.
Perform exploratory and hypothesis-driven analysis to surface insights guiding client and internal decision-making.
Partner with stakeholders to define success criteria and deliver data products that drive extraordinary outcomes.
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses and their patients. We are a mission-driven startup rapidly growing our market share by delivering software people love.
Design and deliver complex data platform components or migration solutions on AWS using Databricks.
Troubleshoot performance, scalability, and reliability issues in cloud-native data environments.
Communicate technical topics clearly to stakeholders and produce high-quality documentation.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As a fully remote global company with employees in Canada, the United States, and Latin America, they celebrate diverse cultures and foster a community of technological curiosity.
Design, architect, and develop robust GCP data pipelines for healthcare data solutions.
Maintain a holistic view of information assets through documentation and create technical design specs.
Collaborate with cross-functional teams to drive ML and data engineering initiatives that improve patient outcomes.
Egen is a data-first consulting company leveraging Google Cloud and Salesforce to help clients drive impact through data. It is a fast-growing, entrepreneurial firm with a culture focused on learning, innovation, and solving tough problems.
Analyze, design and develop cutting-edge software for provider data management on a new product.
Work with a global cross-functional team to build cloud-native, large-scale, scalable data pipelines.
Take full ownership of the software development lifecycle, including planning, design, development, test and deployment.
HealthEdge offers AI-powered operational infrastructure for health insurance companies. With strong market momentum and a growing number of health plans choosing them, they are investing in their people to shape the future of healthcare technology.
Build and optimize cloud-native data pipelines on AWS with dbt, Airflow, and Spark.
Design and evolve data models for analytics, operational use cases, and AI/ML.
Raise the bar on data reliability through governance, testing, and lineage.
Sport Alliance builds the data platform behind Magicline and Finion, serving thousands of gyms and over 10 million members. The company is building an AI-first data team and offers a flexible, fitness-focused culture with a strong emphasis on learning and well-being.
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.
Own multi-terabyte-per-day log pipelines across AWS and GCP, including ingest, enrichment, schema management, and cost control.
Model security data and tune query performance in Snowflake, BigQuery, and Redshift for detection engineering.
Build automation, AI agents, and infrastructure as code to support cyber defense and incident response.
DoorDash is a technology and logistics company that connects consumers, merchants, and Dashers through its delivery network. It is a large, rapidly growing company with a culture of empowerment and inclusion, committed to supporting employee well-being.