Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company provides a modern, high-tech, and fun work environment.
Design and drive the execution of a scalable, cloud-native target-state architecture for the data platform.
Define architectural patterns for scalable automated data ingestion and deliver hands-on proof-of-concepts using SQL, PySpark, and Serverless Python.
Drive governance, security, and engineering excellence across all platform components, ensuring alignment with business and product strategies.
G-P is a SaaS-based Global Employment Platform that enables clients to expand into over 180 countries. Our diverse, remote-first teams foster innovation and value every contribution, empowering employees with flexibility and resources.
Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
Develop and evolve data ingestion applications using AWS tools such as Glue, Lambda, and SQS.
Optimize data pipelines with partitioning, skew balancing, and performance tuning.
Implement automated testing, code reviews, and deployments with a focus on FinOps.
CI&T helps large companies transform AI potential into real business impact through AI deployment, AI-native execution, and tech-integrated solutions. With 8,000 employees across 25+ countries, they foster a collaborative culture where AI is integrated into daily work.
Own multi-terabyte-per-day log pipelines across AWS and GCP, including ingest, enrichment, schema management, and cost control.
Model security data and tune query performance in Snowflake, BigQuery, and Redshift for detection engineering.
Build automation, AI agents, and infrastructure as code to support cyber defense and incident response.
DoorDash is a technology and logistics company that connects consumers, merchants, and Dashers through its delivery network. It is a large, rapidly growing company with a culture of empowerment and inclusion, committed to supporting employee well-being.
Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow across batch, streaming, and real-time workloads.
Contribute to the evolution of the data lake and platform, including ingestion, processing, storage, and serving patterns.
Define and improve data quality, observability, reliability, and governance standards across data systems.
Webflow is an agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences. The company is a growing, privately held organization that values grit, speed, and craft.
Translate legacy Databricks notebook logic into modern ELT patterns using Python and PySpark, ensuring data contract preservation and reverse-view strategies.
Build scalable ingestion pipelines with YAML configurations and orchestrate automated DAG generation via workflow schedulers, applying quality assertions and migration validation.
Collaborate with business Data Stewards to align dependencies, negotiate refactoring scope, and validate migrated outputs for production systems.
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 tech transformation experience and over 8,000 CI&Ters in 25+ countries, we accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.
Lead design and implementation of enterprise data pipelines within Microsoft Fabric.
Mentor data engineers and establish best practices for data engineering.
Ensure data platform security, availability, and performance requirements are met.
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. The company provides a creative and forward-thinking environment with growth opportunities and modern perks.
Configure and support data ingestion from various sources using APIs, webhooks, syslog, and more.
Develop and maintain pipelines for collection, routing, filtering, enrichment, and transformation.
Validate data completeness and troubleshoot issues, while documenting flows and recommendations.
GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations minimize risk. It is a rapidly growing, privately-held company with over 1,300 employees, known for its collaborative culture and mentorship.
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.
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 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.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, they collaborate to build solutions with real impact, embracing AI in their daily work.
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.
Design and manage end-to-end data infrastructure including databases, Data Warehouses, Data Lakes, and Medallion Architecture.
Lead technical migration strategy from legacy systems to cloud platforms, ensuring smooth transition.
Translate business requirements into technical specifications, establish data models and governance policies.
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.
Build and maintain reliable data pipelines and ETL/ELT workflows.
Develop and optimize data models for analytics and internal tools.
Support core data platform tools like Spark and AWS, and monitor pipeline quality and performance.
Sonatype is the software supply chain security company, providing end-to-end software supply chain security solutions. Over 2,000 organizations, including 70% of the Fortune 100, and 15 million software developers rely on Sonatype to optimize their software supply chains.
Define and communicate the long-term data architecture vision, aligning with business strategy.
Lead migration of data pipelines to Microsoft Fabric, ensuring reliable data for business consumption.
Mentor team members and explain complex data concepts to diverse stakeholders.
CI&T helps large enterprises transform the potential of AI into real business impact. With 30 years of experience, they are 8,000 employees across more than 25 countries, collaborating to build solutions with real impact.
Build, deploy, and continuously improve MITRE ATT&CK–aligned detections across cloud, endpoint, identity, email, and application telemetry with clear false-positive thresholds.
Own the full detection lifecycle from hypothesis and data validation through deployment, tuning, and retirement.
Advance the detection-as-code platform with version control, peer review, automated testing, CI/CD, and improved pipeline reliability and observability.
Samsara is the pioneer of the Connected Operations™ Cloud, helping organizations that depend on physical operations to harness IoT data for actionable insights. They are a recently public company with a high-caliber team, embracing a flexible working model that supports remote and hybrid work.
Develop and maintain data pipelines, transformation logic, and data quality processes within Microsoft Fabric.
Implement Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
Support Ed-Fi REST API integrations and Aspen-to-Ed-Fi mappings for education data workstreams.
Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.
Collaborates with researchers and cross-functional teams to design and deliver scalable data solutions on Azure Fabric.
Develops and maintains data pipelines, ETL/ELT processes, and ensures data quality and HIPAA compliance.
Evaluates emerging technologies and creates technical documentation for complex datasets and workflows.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community, offering a collaborative and inclusive culture.