Partner with PMs to translate business opportunities into scalable data and AI solutions.
Deliver reliable data products that support experimentation and decision-making across the company.
Build and scale batch and real-time pipelines for high-quality data processing.
Change.org is the world’s largest platform for democracy, enabling millions of people to create change. With over 100 million users annually, the company is investing heavily in AI to build powerful tools and is expanding its talented team at the intersection of technology and social impact.
Shape the company's data landscape through architecture and modelling across multiple value streams.
Collaborate with product, engineering, and analytics teams to design and govern data architectures.
Define data standards, integration patterns, and governance policies for reliable and scalable data solutions.
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group, providing IT and telecommunications services to hundreds of large customers in Germany and Europe. With over 5,300 employees, the company operates in Budapest, Debrecen, Pécs, and Szeged, and has been recognized as Hungary's most attractive employer in 2025.
Design and implement scalable data ingestion and integration pipelines for structured and unstructured data, ensuring AI-ready and governed data.
Build and scale retrieval infrastructure including vector storage, embedding pipelines, and hybrid search.
Lead pragmatic platform evolution by defining clear contracts between AI services and data systems, improving developer experience.
Caseware is a Canadian Fintech company that has led the global audit and accounting software industry for over 30 years, with over 500,000 users across 130 countries. They foster a culture of inclusion and innovation, with a commitment to 'Many Voices, One Team'.
Build and maintain scalable, efficient data pipelines using PySpark and distributed processing frameworks.
Migrate legacy processes to modern cloud-based architectures on AWS, optimizing performance and governance.
Collaborate with product teams and data analysts to implement data quality monitoring, dashboards, and large-scale data ingestion flows.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees in 32 countries, we foster an inclusive, people-centered culture recognized as a World's Best Workplace.
Design and operate production-grade data pipelines for healthcare, identity, and campaign datasets using Python, SQL, Airflow, and Snowflake.
Implement maintainable data models and governed views for provider, claims, and audience data, ensuring privacy-by-design for PHI/PII.
Partner with product, analytics, and data science teams to translate business requirements into resilient technical solutions that power audience discovery and measurement.
Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to make marketing simpler. Founded in 2007 with offices worldwide, the company fosters a culture of trust and belonging, offering equity and wellness benefits to its employees.
Coordinate the activity of a team of 14 Data Architects DevSecOps, distributing workloads and resources according to priorities and business needs.
Ensure compliance with reference architectures and corporate standards, coordinating reviews and tracking deviations and architectural risks.
Drive the adoption of Data Architecture, DataOps, and DevSecOps best practices, promoting continuous improvement of the service.
Devoteam is a technology consulting company that helps large organizations design and evolve their data platforms, driving adoption of Data & AI best practices. They have a large, international team and a culture that values technology and talent.
Build and operate ingestion pipelines across telematics provider integrations, handling streaming, polling, and batch with appropriate retry and rate-limiting.
Own the normalization layer: map inconsistent provider payload into canonical vehicle, driver, HOS, and fuel models, and defend that schema as new providers are added.
Design storage and query patterns for high-volume time-series vehicle data, balancing real-time API latency with analytical workloads.
We are Catena, the universal API for fleet telematics data, giving insurers, factors, and freight-tech platforms a single integration to access carrier vehicle data across every major ELD and telematics provider. We're an early-stage startup with $8.25M in funding and a small, hands-on team where you'll have high ownership and direct impact.
Work closely with enterprise customers to implement graph-powered solutions from design to production roll-out.
Design graph data models and architectures to support complex relationships and high-performance querying.
Act as a trusted technical advisor, providing guidance on best practices for graph technology and AI integration.
Neo4j is the graph intelligence platform that transforms data into knowledge to power next-generation AI and intelligent applications. The company has over 600 employees, is valued at over $2Bn, and serves 84% of the Fortune 100.
Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition to monitoring.
Research new types of fraud and build products around identity verification using Python and AWS infrastructure.
Write production-ready code and present analyses to inform data acquisition, product development, and marketing efforts.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors including Craft Ventures and Andreessen Horowitz, the company has grown rapidly, verifying hundreds of millions of identities and earning recognition from Forbes and CNBC.
Design and build scalable data pipelines using Apache Spark and cloud technologies.
Develop and maintain data integrations and transformation processes from multiple sources.
Collaborate with technical teams to ensure data quality and optimize data architecture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on using technology to streamline the hiring process and offer a remote work environment.