Top Tech Jobs & Startup Jobs in Fortaleza

Support product and finance operations by providing client support, executing daily operational processes, validating and reconciling data, building dashboards and reports, testing new tools, documenting SOPs, and collaborating with Product and Engineering to automate and improve workflows.

Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.

Design, build, and optimize SQL Server-based data layers and Azure data solutions. Own query performance, indexing, concurrency, CDC pipelines, ORM data access patterns (C#), and database CI/CD. Partner with engineers and architects, mentor team members, and ensure scalable, low-latency data platforms.

Lead end-to-end design and rollout of RevOps systems and data flows, specializing in Clay. Own discovery, architecture, integration with Salesforce/HubSpot, data enrichment, governance, and measurable GTM outcomes. Manage senior client relationships, facilitate workshops, mentor team members, and contribute to internal knowledge and playbooks.

Provide high-level executive support and Founders Associate operations: manage C-suite correspondence, complex scheduling and deal pipelines, review contracts, handle invoicing via Stripe, create presentations, organize workflows in Notion, and maintain rapid EST responsiveness.

Own growth, profitability, and KPIs for assigned Amazon product categories. Build and execute category plans, optimize product detail pages and backend search terms, manage advertising campaigns and pricing/promotions, track competitor activity and catalog health, coordinate with supply chain and cross-functional teams, analyze Amazon analytics, and deliver regular performance reports with insights and recommendations.

Lead Data Engineer responsible for designing and implementing PySpark/Python data pipelines, ETL processes, and data warehousing solutions. Collaborate with ML engineers, software devs, analytics engineers, and product managers to deliver highly available data solutions. Work remotely on a nearshore basis (Central/South America), following US client schedules and onboarding requirements.

Work with client-provided data to clean, validate, preprocess, and engineer features. Train and tune machine-learning models (avoid overfitting), optimize runtime, and communicate results to stakeholders. Collaborate with client teams and internal Product/Research to deploy and improve risk-detection solutions.

The Senior Backend Engineer will develop a Django backend, create new API features, improve performance in RabbitMQ, handle integrations, and participate in code reviews for a remote company focused on online privacy.

Lead project planning and execution, manage budgets, oversee change management strategies, and ensure project alignment with business objectives while adhering to PMO governance.