Design and manage AWS cloud data platforms using services like Glue, EMR, Lake Formation, and CloudWatch.
Develop and optimize data pipelines with Python, PySpark, SQL, and open table formats such as Apache Hudi or Iceberg.
Automate infrastructure with Terraform and collaborate with distributed teams to ensure data quality, security, and performance.
The hiring partner company builds scalable AWS cloud data platforms and modern data solutions. It maintains a fully remote, international culture with collaborative engineering teams.
Design and build scalable data architectures across warehouses, data lakes, and lakehouse environments.
Develop, maintain, and optimize ETL/ELT workflows and reliable data pipelines using dbt, Prefect, and AWS.
Collaborate with cross-functional teams to translate business needs into effective data models and solutions.
We are a technology-driven company building scalable data infrastructure to support strategic decision-making. Our culture emphasizes collaboration, engineering excellence, and continuous improvement.
Develop analytical solutions using Python, SQL, and ML for workforce management.
Work with HR and timekeeping data to detect patterns and anomalies.
Collaborate with IT and business stakeholders on AI-driven initiatives.
The company leverages data science and AI to improve workforce management and operational efficiency. It offers a fully remote, innovation-focused environment and is open to people with disabilities.
Develop and deploy statistical and machine learning solutions for a major U.S.-based e-commerce retailer.
Collaborate with project leadership, data specialists, and engineering teams to translate business challenges into analytical models.
Drive end-to-end data science projects from data exploration and feature engineering through predictive modeling and production deployment.
The company is a technology consultancy that delivers data science and machine learning solutions to clients. It is a growing, fully remote organization that values continuous learning and professional growth.
Design, implement, and evolve scalable, secure, and reliable data architectures.
Develop and optimize ETL/ELT pipelines and cloud-based data platforms.
Collaborate with multidisciplinary teams to transform complex data into actionable insights.
A partner company is looking for a Data Engineer to design and build scalable data architectures. The company offers a fully remote work model and a collaborative, technology-driven environment.
Own the end-to-end data onboarding experience for B2B and Lead Gen clients, from scoping to integration validation.
Support pre-sales by joining sales calls, conducting data audits, and scoping data complexity into deal pricing.
Prepare and validate pipeline data for marketing measurement, leveraging AI-assisted tooling and SQL.
Power Digital is an AI-native growth firm helping brands grow through strategy, creative, and marketing technology. We are a people-first firm with a culture of curiosity, ambition, and accountability.
Lead strategic fraud-prevention initiatives focused on onboarding, KYC, and customer registration.
Develop and optimize antifraud strategies, rules, and controls to balance security, conversion, and customer experience.
Analyze fraud patterns and large-scale data to generate actionable insights for business and risk decisions.
This partner company operates in the security and IT sector, specializing in fraud prevention and identity verification. Its team is remote, collaborative, and dynamic, with a focus on innovation and growth.
Guide business teams to transform knowledge into AI-ready materials and design agent conversations.
Configure, test, and improve AI agents using n8n or similar automation tools, with SQL support.
Act as an AI reference across teams, maintain the AI backlog, and document best practices.
This partner company leverages generative AI to improve business operations and customer experiences. The team values autonomy, collaboration, and continuous learning, offering a remote work environment.
Own relational and lakehouse data for a higher-education platform's program, student, and enrollment data.
Design schemas, stored procedures, and performance tuning across SQL Server and Databricks.
Implement data governance with Unity Catalog, quality checks, and CI/CD for database changes.
CI&T helps large enterprises turn AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated solutions. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Receive, organize, analyze, and validate operational information and documents.
Identify inconsistencies and manage their resolution with internal teams and clients.
Maintain and update systems, reports, and operational controls to ensure data quality.
QIMA is a global company specializing in inspection, auditing, certification, and quality control services across multiple industries and agribusiness. Operating in over 100 countries, QIMA fosters a collaborative environment with opportunities for growth and professional development.