Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud-native data services.
Build, optimize, and support ETL/ELT workflows to enable analytics, reporting, and downstream applications.
Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog.
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, they have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe.
Own day-to-day administration, configuration, and health of Oura's global Databricks environment.
Contribute to data pipeline development and Spark workload optimization across cross-functional growth areas.
Manage workspace governance including access controls, cluster policies, cost monitoring, and security configurations.
Oura empowers people to own their inner potential through award-winning products that help gain deeper knowledge of readiness, activity, and sleep quality. They are a quickly growing company focused on helping people live healthier and happier lives, ensuring team members have what they need to do their best work.
Design, implement, and maintain a streaming-first data platform.
Build and operate a hybrid Databricks and Snowflake architecture.
Champion platform standards, tooling, and best practices across the data organization.
1Password is building a foundation for a safe, productive digital future to unleash employee productivity without compromising security. They have over 180,000 businesses trusting their teams; its culture prioritizes collaboration, clear communication, and alignment with core values.
Engineer the Databricks platform across Azure and GCP.
Evolve data and AI governance in Unity Catalog.
Partner on data, feedback loops, and AI-driven data products.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them. They have over 2000 employees around the world and they have a best-in-class HQ in Ottawa, Canada.
Assess current source systems, data flows, integrations, and architectural constraints to identify gaps and risks.
Define the target-state data platform architecture, recommending tools like Azure, Databricks, or AWS based on business value and scalability.
Support AI readiness assessment and provide input into data governance, security, and compliance principles.
Exadel is a global tech company with over 25 years of engineering leadership, serving Fortune 500 clients like HBO, Microsoft, Google, and Starbucks. With 2,000+ team members and 500+ active projects, we foster an ambitious, collaborative culture.
Lead workspace architecture, Unity Catalog governance, and cluster policy design for client tenant organizations.
Perform tenant discovery, requirements gathering, source profiling, and security classification for new data intake requests.
Develop end-to-end technical designs for tenant onboarding, including Data Sharing Agreements and SLA documentation.
M9 Solutions provides IT services and solutions to the Federal Government, mobilizing skilled people and technologies for improved performance and sustainable change. With 15+ years of proven delivery and growth, the company has been recognized as an Inc. 5000 Fastest-Growing Private Company multiple times and values diverse perspectives.
Design and optimize scalable data pipelines and architectures for Data & AI initiatives.
Build cloud-native solutions using Azure, Databricks, and big data technologies.
Collaborate with business stakeholders to deliver data-driven solutions and contribute to a strong data culture.
Redcare Pharmacy is Europe's leading e-pharmacy, driven by innovation and a mission to ensure every human has access to health. The company fosters a collaborative and healthy work environment, with a team passionate about cutting-edge technology and data-driven solutions.
Design, build, and operate high-scale data ingestion and replication systems from production data stores into the data lakehouse.
Build and maintain reliable, scalable data platform infrastructure capable of handling petabytes of data across analytics, AI, and operational use cases.
Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams move and access data safely.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a publicly traded company, Samsara fosters a growth-oriented culture and serves industries that represent over 40% of global GDP.
Design and build an integrated data platform, unifying existing tools and pipelines into a cohesive, scalable architecture.
Own data pipelines and SLAs end to end, ensuring reliable data movement between systems with clear expectations.
Shape the data strategy and platform roadmap, researching new technologies and introducing tools as the platform evolves.
Wrapbook is a vertical fintech platform that enables companies to seamlessly onboard, pay, and insure their workforces, operating in the entertainment industry. They are at an exciting stage of growth, having raised over 30M from investors like Andreessen Horowitz.
Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Contribute to quarterly data product releases, working closely with product, clinical, and customer success teams to meet commitments.
Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use, serving some of the largest biopharma companies globally.
Design, build, and maintain scalable data pipelines using AWS Glue (PySpark), or equivalent orchestration and transformation tools.
Engineer and optimise the ClickHouse warehouse for sub-second query performance across all back-offices.
Implement data contracts between back-office and the platform.
Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture.
Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks
Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase
Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria
Aimpoint Digital is a market-leading data, AI, and operations research advisory and solution engineering firm. They help organizations build modern data platforms, enterprise AI systems, decision intelligence solutions, optimization models, and production analytics capabilities.
Lead the design and evolution of scalable financial data systems supporting commissions, incentives, and payments.
Build and maintain robust data pipelines using Python, SQL, Spark, and Terraform for accuracy and performance.
Define technical strategy and roadmap for financial data operations in collaboration with stakeholders.
Our partner is a fast-growing technology company building financial data infrastructure for insurance operations. They have a remote-friendly work environment and emphasize engineering excellence and cross-functional collaboration.
Assess current source systems, data flows, and architectural constraints to identify gaps and dependencies.
Define target-state data platform architecture and recommend technology options like Azure, Databricks, or AWS.
Support AI readiness assessment and provide input on governance, security, and compliance principles.
Exadel is an AI-first global tech company with 25+ years of engineering leadership and over 2,000 team members. They power Fortune 500 clients including HBO, Microsoft, Google, and Starbucks, focusing on AI platforms and digital transformation.
Owns organizational-wide data architecture, defining standards, patterns, and designs that our teams will implement.
Reviews data-related designs and implementations across teams for architectural consistency, performance, and scalability.
Designs and develops data pipelines, integrations, and platform features with performance and scalability in mind.
Tenna provides a platform that revolutionizes construction equipment fleet operations. They provide innovative solutions to customers looking for competitive ways to better manage and track their assets, such as heavy and light equipment, large fleets, tools, and materials. They value quality-obsessed, gritty, continuous learners, and collaborative problem solvers.
Design, build, and operate data pipelines for analytics and AI/ML capabilities.
Architect ingestion, transformation, and storage pipelines across diverse data sources.
Implement data models suitable for analytics and BI consumption.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share the shortlist directly with the hiring company.
Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data.
Build the self-serve tooling so other teams publish, consume, and build on data products without waiting.
Own data contracts and schema evolution; keep schema changes from turning into multi-team coordination events.
Keyrock is a change-maker in the digital asset space, renowned for its partnerships and innovation. They have over 250 team members around the world with diverse backgrounds and hubs in London, Brussels, and Singapore, hosting regular online and offline hangouts.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.
Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring.
Architect and evolve our CI/CD processes - enhancing the testing environment and observability.
Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
Life360’s mission is to keep people close to the ones they love. They have a mobile app, tracking devices, and a pet GPS tracker. Life360 has more than 500 (and growing!) remote-first employees and delivers peace of mind and enhances everyday family life.
Own and maintain data pipeline architectures, ensuring reliability and monitoring.
Manage and evolve data modeling environments for analysts and engineers.
Implement observability for data systems, detecting issues early and continuously monitoring data quality.
Voltus unlocks the full value of distributed energy resources for customers and the grid. They are a fast-growing climate-tech company with a bright, gritty, and good team that values innovation, impact, and integrity.