Responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team.
Coach & mentor other engineers to support the growth of their technical expertise.
Implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption.
YLD is a software engineering and design consultancy that creates digital capabilities for their clients. The company has offices in London, Lisbon, and Porto and aims to attract, inspire, develop, and retain extraordinary people.
Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
AOT Technologies helps enterprises and governments bring their ideas to life. As a boutique consulting firm, they partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Their teams are collaborative and their leadership is transparent.
Build and roll out new features with your team, iterating based on results.
Drive projects from initial ideation to operational deployment.
Analyze, design, and build modular solutions for complex challenges.
Jobgether is a platform helping candidates find the right job. They use AI-powered matching to ensure every application is reviewed quickly, objectively, and fairly against the core requirements.
Contribute broadly to the detection engines, analysis systems, and other core intellectual property.
Work closely with Lookout’s security research, data ingestion, and machine learning teams to enable threat hunting.
Identify components and functionality of mobile applications to determine their behavior and evaluate possible privacy risks.
Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for human error and manipulation. They use a cloud-native platform, offering rapid deployment and simplified security operations, defending the frontline of human-centric attacks.
Help build scalable data solutions and streamline data ingestion.
Maintain high-quality databases that support our scientific and operational teams.
Optimize our data infrastructure to ensure efficient data access.
Funga is a public benefit corporation addressing the climate crisis by harnessing forest fungal networks. They are a team of passionate scientists and builders working to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050.
Guide complex initiatives from initial requirements gathering and robust system design to deployment.
Build scalable data infrastructure and shape the developer experience.
Provide technical guidance to both engineering and research staff.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. They have become a multibillion-dollar asset manager, and they have ambitious goals for the future.
Design, build, and maintain scalable data pipelines for clients across industries.
Architect and optimize cloud data warehouse solutions, adapting to each client's stack.
Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled.
NuView Analytics helps companies accelerate the time to insights from their data through data analytics, diligence, and fractional data science. They are a growth-stage company looking to drive additional value from the data they are sitting on and value humility, intellectual rigor, and stewardship.
Design and implement backend APIs that handle hundreds of millions of rows while maintaining high speed and security.
Work on projects that enable data access through modern APIs and AI channels (chatbots, natural language querying).
Design data models, tune query performance, and directly shape how we utilize the Snowflake platform.
IDC provides data and analytical insights. They are building channels that deliver data quickly and reliably, creating a 'single source of truth' for IDC’s data products and modern API layers, including AI tools.
Work alongside full-stack engineers to ensure product functionality is scalable and reliable.
Partner closely with product and engineering teammates to design, build, and operate backend systems.
Take ownership of backend and systems aspects of product features from early design through production and scale.
Vesta is rebuilding the mortgage LOS (Loan Origination System) from the ground up with an AI-augmented platform. They have raised $55M from top tier investors and value humility, empathy, self-awareness, and an orientation towards action on their team.
Significantly impact the architecture and performance of a next-generation infrastructure.
Optimize distributed systems for real-time processing at scale.
Enhance the robustness and efficiency of core infrastructure components.
Jobgether is a platform that uses AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, implement, and operationalize core systems hands-on.
Write POCs to validate ideas and give the team something concrete to move toward.
Rerun is building the missing data stack for Physical AI. Their open-source project is used by some of the best teams in the world, and they're now building the commercial data platform on top of it. This role will suit someone who values agency and helpfulness highly and expects to take broad responsibility for what they build.
Drive improvements to Dagster’s backend system, underlying open source framework, and product UI.
Solve difficult technical problems throughout the software stack and work collaboratively with the rest of the team.
Instrument, monitor, debug, and optimize distributed systems from end to end.
Dagster Labs empowers organizations to build productive, scalable data platforms with tools like Dagster and Dagster+. They are a small, well-funded team that values collaboration, curiosity, and delivering meaningful software to shape the future of data and AI.
Design, develop, and evolve platform functionalities focused on interest calculation and financial processing.
Contribute to feature evolution and system maintenance within a hybrid architecture.
Support the team by identifying and removing technical impediments, promoting continuous improvement and operational excellence.
Pismo, founded in 2016, provides a comprehensive processing platform for banking, card issuing, and financial market infrastructure, helping customers innovate and build the next generation of banking and payment solutions. Acquired by Visa in 2024, Pismo has 500+ employees located in more than 10 countries.
Build and operate data services driving our applications and APIs
Collaborate with team members and across Engineering to iteratively prototype and develop new functionality
Partner with product managers and other Zusers
Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. They aim to catalyze healthcare's greatest inventors by maximizing the value of patient insights.
Build pipelines to load data from various systems into Dataiku via S3 or Snowflake.
Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates.
Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
Design and build mission critical data pipelines with a highly scalable distributed architecture.
Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders.
Build and support reusable framework to ingest, integration and provision data
StockX is a Detroit-based technology leader focused on the online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. They employ 1,000 people across offices and verification centers around the world and their platform connects buyers and sellers using dynamic pricing mechanics.
Design and implement scalable data architectures to support business needs.
Build and optimize data pipelines, ensuring data accessibility and security.
Develop and maintain data models, databases, and data lakes, with robust data governance.
Terawatt Infrastructure delivers large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. With a growing portfolio of sites across the US, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through capital, real estate, development, and site operations solutions.
Own, operate, and maintain the architecture and infrastructure of our data stack.
Ensure that the data we need to understand and serve our stakeholders is available, accurate, and accessible.
Partner with various teams to understand their data needs and identify places where the analytics stack can improve on what they’re doing.
Grafana Labs is a remote-first, open-source powerhouse with more than 20M users of Grafana, the open source visualization tool, around the globe. They help more than 3,000 companies manage their observability strategies with the Grafana LGTM Stack.
Serve as the embedded technical lead for Databricks customer engagements.
Own Databricks platform architecture, design decisions, and technical standards.
Lead delivery of complex data pipelines and analytics workloads on Databricks.
540 is a forward-thinking company that the government turns to in order to #getshitdone. They break down barriers, build impactful technology, and solve mission-critical problems.
Partner closely with business stakeholders to understand their challenges and design end-to-end architecture.
Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers and provides complete visibility and control across a wide range of industries.