You will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline.
You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake.
You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.
EDO is the TV outcomes company. Their leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. They are headquartered in New York City and Los Angeles with an office space in San Francisco and recognize the benefits of hybrid working.
Design, build, and maintain backend services for device connectivity using AI.
Use agentic workflows to increase delivery velocity without sacrificing quality.
Help define and codify AI-native engineering practices for the Devices Cloud team.
Life360's mission is to keep people close to the ones they love with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. They are a remote-first company with more than 500 employees.
Design, develop, and maintain LLM-powered applications and autonomous agents
Build agentic workflows and orchestration layers using LangGraph or similar frameworks
Implement and refine prompt engineering strategies for reliability, safety, and performance
NBCUniversal is a world-leading media and entertainment company that creates and distributes content across film, television, and streaming. We own leading entertainment and news brands and operate industry-leading theme parks around the world and champion an inclusive culture.
Build and scale high-throughput streaming pipelines.
Model and deliver high-quality, production-grade real estate datasets.
Strengthen data quality and observability.
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, they are a Series C company on track to hit $100M in annual recurring revenue in the next six months. They are a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row.
Strong experience with cloud-native systems (APIs, microservices, containers, serverless).
Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration).
They provide recruitment and staffing services to many industries and domains through innovative and customized solutions and passionate commitment to research. They strive to deliver the most value and highest return on investment for their clients, acting as trusted business partners.
Take ownership, improve, scale, and iterate on existing data processing pipelines.
Design and implement new data processing pipelines.
Collect and monitor performance metrics.
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance.
Design and implement core backend systems and integrations that power the product.
Design and build our data platform (orchestration, pipelines, developer workflows)
Create scalable systems for data ingestion, transformation, and access
Avantos is building the AI-native operating system for financial services, transforming fragmented data into a single, intelligent system. They power workflows, automation, and decision-making as a product-led, fast-moving team in AI, fintech, and infrastructure.
Own the backend systems that rank and serve personalized content to hundreds of millions of Spotify users.
Work in an AI-native development workflow and implement backend changes across services.
Collaborate as part of a cross functional team to turn ideas into production systems.
Spotify transformed music listening forever when we launched in 2008! Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators.
Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
Gopuff is reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. They are assembling a team of thinkers, dreamers and risk-takers who know the value of peace of mind in an unpredictable world.
Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate.
Hiflylabs is a team of 250+ data and tech enthusiasts based in Budapest. They focus on data engineering, data science, artificial intelligence and application development, working on a wide range of projects around the world. Hiflylabs values its people and is committed to nurturing their personal and professional development through a mentoring system.
Design and build event processing services and pipelines on AWS serverless.
Write production-quality Golang and/or Python code with comprehensive testing and observability.
Own services end-to-end: development, deployment, monitoring, incident response, and SLA adherence.
Pismo provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo's 500+ employees are located in more than 10 countries around the world.
Build and own product and platform capabilities across Spiral and AXO, from early prototypes to production systems.
Design and implement AI-powered workflows, agent capabilities, and backend services that are scalable, secure, and reliable.
Develop high-performance APIs, async workers, and application logic in Python and TypeScript.
UJET leads in AI-powered contact center innovation, offering a cloud platform that redefines customer experience. They ensure security, scalability, and prioritized data insights, partnering with businesses for smarter decision-making and accelerated growth in the AI-driven world.
Strengthen the real estate MLS data platform squad.
Build robust data pipelines and backend services.
Evaluate and monitor infrastructure to improve systems over time.
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. Founded in 2016, Luxury Presence has grown to a global team and has raised $89 million to date.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. The company celebrates its diversity and is looking to do the right thing: for each other, the community and the planet.
Architect and build automation pipelines that replace high-volume, repeatable content tasks.
Design and develop LLM-powered tooling that enables agentic content creation workflows.
Build and maintain integrations across ServiceNow’s content platforms, knowledge management systems, and AI services.
ServiceNow started in 2004 and stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500(R). Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations.
Become a trusted data and AI advisor to clients, helping them translate business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, ETL/ELT pipelines, and analytic layers.
Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases.
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. They work alongside the most innovative software providers in the data engineering space to solve their clients' toughest business problems and believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle
Define the technical architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks
Set the standard for how the engineering organization builds with AI, including development practices, tooling choices, and quality bars
SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row.
Own organizational-wide data architecture, defining standards and designs.
Design and develop data pipelines, integrations, and platform features.
Partner with product managers to define new data features and capabilities.
They offer a connected equipment platform for managing mixed assets. The company values quality, continuous learning, and collaboration within a dynamic team environment.
Build AI-Powered Features: Design, develop, and deploy production-grade AI applications from concept to deployment.
Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency and high reliability.
Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks.
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations, making it easy for organizations to take control of spending and save money. It is a remote-first company with a big heart and a strong ambition to modernize how organizations manage business spend.
Lead Agent Development: Drive the development of Owkin’s Data Transformation Agent (DTA).
Orchestrate Data Workflows: Design, implement, and maintain complex data transformation workflows.
Ensure Code Excellence: Define and enforce robust engineering practices.
Owkin is an AI company on a mission to solve the complexity of biology. They are building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software.