Explore complex datasets to identify fraud patterns and behavioral signals.
Build and evaluate machine learning models for fraud detection across account opening and identity risk.
Write clean, well-tested code and work with engineering to bring models into production.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We have an amazing team of 25,200 people in 32 countries, with a people-first, inclusive and purpose-driven culture.
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.
Design scalable cloud-native data architectures on Databricks or MS Fabric.
Implement data models, schemas, and storage patterns like lakehouse, Delta, and Parquet.
Collaborate with data architects, analysts, and business stakeholders to ensure data-driven decision making.
Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, provides comprehensive IT and telecommunications services with over 5,300 employees. The company has won awards for educational cooperation and ethical business practices, and it continuously develops its locations in Budapest, Debrecen, Pécs, and Szeged.
Define and architect the event-driven data platform for agentic AI workflows.
Partner with engineering leadership to establish security guardrails and multi-tenant experiences.
Guide senior engineers on complex design patterns and adoption of modern data tools.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company offers a modern, high-tech, and fun work environment.
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 implement enterprise-scale federated architectures integrating Palantir Foundry and Databricks.
Establish standards for data sharing, define architecture patterns, and lead modernization of legacy ETL.
Lead architecture reviews, support AI/ML workloads, and act as technical authority for enterprise data platform.
GoFasti is a Talent-as-a-Service company that connects world-class developers and designers from Latin America with global companies. They focus on making remote work remarkable, offering a supportive culture that values learning and improvement.
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.
Support CBM+ program initiatives from inception to deployment, ensuring alignment with business and mission objectives.
Oversee end-to-end data collection and processing, including implementation, sustainment, and optimization of ETL pipelines.
Perform Exploratory Data Analysis, statistical analysis, and data visualization to identify trends and actionable insights.
Redhorse Corporation is a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. They are a team of thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions.
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.
Own data products end-to-end, driving success through accuracy, client value, and efficiency.
Work with massive datasets to answer key client questions and develop deep expertise in proprietary methods.
Use AI and tooling to drive leverage, automating workflows and validating AI-generated outputs.
YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance and market trends. With offices in the US, APAC, and India, the company is recognized as a Best Workplace for three consecutive years, fostering a culture of transparency, ownership, and continuous learning.