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.
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.
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 own custom data pipelines that integrate source systems with the data warehouse.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, applications, and AI tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a fast-growing company that uses technology to streamline recruitment and offers a high-trust remote environment.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
Maintain and enhance existing data processes, ensuring reliability, performance, and scalability.
Build a full understanding of existing tables, flows, and jobs to identify improvement areas.
Drive system reliability and performance improvements across all data workflows.
The Customer provides comprehensive cybersecurity solutions to protect individuals, organizations, and communities. The company operates across various sectors, addressing vulnerabilities and ensuring protection against digital risks.
Design, build, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies.
Develop and enhance data models and warehouse structures that support analytics, reporting, and business intelligence use cases.
Partner with engineering, product, and analytics teams to translate business needs into well-designed technical solutions.
VERSANT is a media and entertainment company that owns iconic brands across news, sports, and entertainment, including CNBC, Golf Channel, and Fandango. It operates across multiple markets with a culture emphasizing trust, teamwork, transparency, agility, and an entrepreneurial spirit.
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.
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.
Own and advance the systems that enable our marketing organization, establishing a clear roadmap for marketing technology.
Work directly with marketing and leadership to understand needs and translate them into technical solutions, automating inefficient workflows.
Build integrations, services, and internal tools using APIs, cloud services, data pipelines, and batch-processing patterns.
Material Bank is the world's largest material marketplace for the architecture and design industry, operating in 37 countries. We connect thousands of designers with tens of thousands of materials from leading brands, and our growth-driven team values efficiency, smart automation, and small empowered teams.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.
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.
Design and maintain scalable Zero-ETL data pipelines for analytics.
Optimize Amazon Redshift data models and Apache Airflow orchestration.
Ensure data quality, reliability, and performance across the platform.
UK Security & IT is a technology partner building a scalable analytics platform for modern data engineering. The company is remote-first with a focus on sustainability, distributed collaboration, and employee wellbeing.
Maintain and enhance data processes with focus on reliability, scalability, and performance optimization.
Design, optimize, and support large-scale data pipelines and transformation processes.
Drive modernization initiatives across the data platform and implement architectural improvements.
Sigma Software is a technology company delivering software development and cybersecurity solutions. They foster a supportive, people-focused culture with experienced international teams.
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.
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.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation.
Participate in on-call rotation to triage and resolve ETL failures and data unavailability.
Extend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting.
Splice is a creative platform for music makers, providing a subscription service with sounds, samples, and AI tools. The company has a remote team across the US and UK, fostering a collaborative culture.