Design and sustain real-time data pipelines that capture changes in transactional systems and distribute them as reliable events for a core banking platform modernization.
Ensure continuous synchronization between legacy and target platforms with low latency, high resilience, and zero data loss in failure scenarios.
Define canonical event models, schema versioning, and observability to keep everything running autonomously and auditable.
Design, optimize, and maintain robust and scalable data pipelines on AWS cloud.
Plan and execute migration of systems and data volumes to new cloud infrastructure.
Collaborate with multidisciplinary teams to implement efficient data solutions and ensure data governance.
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 25+ countries, they collaborate to build solutions with real impact.
Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.
Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting and assessment operations via its NodeZero platform. They are a team of former special ops and engineers, committed to a culture of respect, collaboration, ownership, and results.
Build and operate change-data-capture pipelines from PostgreSQL into Azure using Kafka Connect and Debezium.
Configure, deploy, and scale connectors end-to-end, covering connector setup, task management, offsets, schema history, and snapshot strategy.
Monitor and troubleshoot the platform in production, handling connector failures, task rebalances, and throughput issues.
Software Mind develops solutions that make an impact for companies around the globe. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Design, build, and operate the ZMP real-time events pipeline for high-volume event data.
Provide technical leadership, own architecture, and mentor teammates through code and design reviews.
Collaborate with product, data, and consumer teams to turn SLAs into working systems.
Zeta Global is an AI-powered marketing cloud that leverages artificial intelligence and trillions of consumer signals to help marketers acquire, grow, and retain customers more efficiently. Founded in 2007 and headquartered in New York City with offices worldwide, the company fosters a culture of trust and belonging with a focus on diversity and inclusion.
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.
Design and implement real-time services with high throughput and low latency, working across the full software development lifecycle.
Collaborate with stakeholders to understand customer needs and deliver simple, robust, and scalable solutions.
Embrace challenges of scaling a complex distributed platform with global points of presence, ensuring high availability and reliability.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. The company is a remote-first organization with a strong culture of connection and global inclusion.
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.
Serve as the primary technical advisor for strategic cloud and technology partners, building trusted relationships and delivering enablement.
Design and validate reference architectures showcasing Striim's real-time data streaming and AI capabilities.
Collaborate with cross-functional teams to support joint customer opportunities and develop repeatable solution playbooks.
Striim is a unified data integration and streaming platform that connects clouds, data, and applications with real-time analytics. As a Silicon Valley startup, it fosters entrepreneurship and values diversity, equity, and inclusion.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Design and operate platform-oriented core services for high-scale distributed systems across OnePay's product ecosystem.
Architect, build, and manage Kafka-based event streaming systems that power real-time data flows and mission-critical financial workflows.
Develop internal developer tooling and shared infrastructure to improve velocity, reliability, and observability across engineering teams.
OnePay is a consumer fintech platform that offers banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place, and partners with employers and gig platforms to deliver embedded financial services to millions of users. Backed by Walmart and Ribbit Capital, the company has a fast-paced, mission-driven culture where employees are expected to be ready to run, hungry, low-ego, and comfortable operating in motion.
Lead architecture design and implementation of cloud-native solutions for identity fraud detection and risk analysis on AWS.
Ensure systems are scalable, resilient, secure, and efficient while managing technical strategy for digital intelligence domains.
Architect event-driven, data-intensive platforms processing device signals, fraud indicators, and risk scoring at scale.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 25,200 employees in 32 countries, we foster a people-first, inclusive culture that has earned multiple awards including World's Best Workplaces™ 2025.
Design and implement a petabyte-scale AWS data platform using advanced engineering and cloud-native practices.
Build and optimize highly scalable data pipelines using JVM languages, Spark, and Python for production-ready data processing.
Act as a principal-level technical leader, mentoring engineers and driving architectural decisions to guide platform evolution.
Experian is a global data and technology company that powers opportunities for people and businesses around the world. With 25,200 employees across 32 countries, they have a people-centric, inclusive culture recognized as a World's Best Workplace.
Design, build, and maintain scalable event-streaming pipelines that ingest data from client systems and third-party sources.
Develop and operate analytical databases and data models optimized for high-volume event workloads and low-latency access.
Build production-grade services in Elixir and/or Python for event processing, transformation, and integration.
This company is building data infrastructure for high-volume client and internal event data. They are establishing a new data engineering team and offer a remote work environment with significant technical ownership.
Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.
Guide strategic enterprise customers through cloud data engineering transformations, including performance testing and production-ready pipeline architecture.
Prove platform value by architecting solutions for big data, data warehousing, and lakehouse use cases.
Support technical sales through custom proofs of concept, workload sizing, and community workshops.
Databricks is the Data and AI company, providing a unified platform for data, analytics, and AI to over 20,000 organizations worldwide, including 70% of the Fortune 500. Headquartered in San Francisco with 30+ offices globally, it fosters a diverse and inclusive culture and offers comprehensive benefits.
Design and own event-driven architecture connecting Checkout, Payments, Subscriptions, Platform, and AI.
Evolve core commerce data models and establish shared data interfaces for transactional and analytical systems.
Set technical direction across teams, driving cross-cutting changes and creating foundations for agentic commerce.
We are the Autonomous Commerce Platform for DTC Founders, unifying commerce operations into one platform with AI agents. We are a fast-growing startup with 8-figure ARR and 100%+ YoY growth, backed by experienced operators.
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.
Architect and evolve our data platform using Snowflake and dbt.
Design and implement batch and streaming pipelines in AWS.
Establish best practices for data modeling, governance, and security.
BlueMatrix develops web applications for the authoring, distribution, and analysis of investment research. The team consists of ambitious professionals with offices across North America and Europe.