Lead the development and operation of a scalable data governance and data security program across a modern data environment.
Establish practical standards for data classification, ownership, access, quality, and protection, working closely with Data Engineering, Security, Privacy, and Legal.
Shape responsible adoption of emerging analytics, AI, and agentic technologies while ensuring compliance with GDPR, CCPA, and other regulatory frameworks.
The company operates in the fintech or regulated financial services space, managing sensitive cross-border data across multiple regions. It is a growing, remote-first organization focused on security and compliance, with a culture that values data trust and operational maturity.
Structure, integrate, and maintain scalable data solutions for credit origination, monitoring, and risk analysis.
Build and evolve the credit analytics layer including datamarts, indicators, and reusable components.
Implement data quality, governance, and observability controls while ensuring compliance with LGPD.
Jobgether is an AI-powered recruitment platform that connects candidates with job opportunities using an objective matching process. It operates with a small team, focusing on efficiency, fairness, and data privacy.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Leverage AI-assisted tooling to optimize data pipelines and code generation, and develop AI-ready datasets to support machine learning and GenAI initiatives.
Build Data Warehousing systems, reporting and analytics.
Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development.
Loadsmart is a growth-stage logistics technology company valued at over $1 billion, reinventing the future of freight by helping shippers, brokers, warehouses, and carriers move more with less. With headquarters in Chicago and a globally distributed remote team, we are a collection of industry veterans and user-centered engineers committed to driving meaningful change.
Create and maintain analytical dashboards and management reports to support business decisions.
Perform data modeling, cleansing, and integration from multiple sources, and conduct exploratory and predictive analyses.
Collaborate with stakeholders to translate business needs into analytical solutions, define KPIs, and automate processes with Generative AI.
This company is hiring a mid-level data analyst to support business decisions through data analysis and reporting. It operates in a data-driven environment where analytical thinking and innovation are valued, and offers a fully remote work model.
Own and evolve the enterprise LookML semantic layer as the governed foundation for analytics across a 1,000+ person organization and 600+ clients.
Translate ambiguous stakeholder asks into clear technical implementations and design scalable Looker assets for self-service analytics.
Build best-in-class data products in Looker, applying strong data visualization and UI/UX principles, and mentor junior developers.
Power Digital is a tech-enabled growth firm at the intersection of marketing, consulting, and data intelligence, igniting revenue and brand recognition for leading companies worldwide. With over 1,000 employees, they are a people-first firm that values diversity and culture as key to their success.
Review and analyze short-form video content to identify all languages in spoken audio and on-screen text.
Validate that language and cultural elements accurately reflect Brazilian Portuguese for machine learning datasets.
Perform quality checks and apply classification guidelines to generate accurate ground-truth labels.
Jobgether is an AI-powered job matching platform that connects candidates with partner companies. They use technology to ensure fast, objective candidate reviews and partner with firms in international projects.
Implement and evolve dashboards and data layers using Python and SQL.
Conduct exploratory and ad hoc analyses to answer business questions and guide decisions.
Collaborate with project managers and stakeholders to ensure data-driven insights.
Looqbox is an artificial intelligence tool that transforms company data into action. They are a growing Brazilian tech company with a culture focused on innovation and employee well-being.
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.