Top Data Engineer Jobs in Fortaleza

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

Design and maintain data ingestion frameworks using AWS technologies, ensuring integration with Snowflake, and collaborating across teams for project delivery.

Design, build, and maintain data pipelines, optimize existing ETL processes, and collaborate with teams to deliver structured datasets and support analytics initiatives.

As a Staff AI Data Engineer, you'll lead AI-powered improvements in workflows, design data foundations, and ship evidence-first AI pipelines while ensuring data governance and privacy.

The Software Engineer will design and implement search architecture to enhance data discoverability, handle significant feature ownership, perform code reviews, and mentor junior members in a Kubernetes environment.

The Data Engineer role involves creating and managing data pipelines, optimizing data infrastructure, and automating data processes using tools like Snowflake, dbt, and Terraform.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

We are looking for a Staff Software Engineer for our MLS data platform to develop data pipelines, backend services, and AI-driven features for the real estate industry.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

Lead the design and implementation of robust data pipelines and ecosystems. Ensure scalability and reliability while mentoring team members in best practices.

Designs, builds, and maintains scalable batch and streaming data pipelines, APIs and integrations; prepares and cleanses data; creates data models, reporting, dashboards, and access methods; applies NLP and AI/ML techniques; follows data governance; estimates and plans work for agile sprints with limited supervision.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

Lead the data engineering efforts by building scalable data pipelines, optimizing ETL processes, and enhancing analytics infrastructure to support growth.

Lead data engineering efforts, building scalable ETL and data lake processes. Collaborate with teams to ensure timely, reliable data supports business growth and analytics.

The Data Scientist will lead data-driven decision-making, develop machine learning models, design automated pipelines, and improve product performance.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.

The Data Integration Engineer is responsible for designing, maintaining, and optimizing data integration processes across various IT systems, ensuring data quality and alignment with business needs.

As a Senior Data Engineer, you will develop and maintain data models, design data pipelines, and ensure data quality, while leveraging big data concepts to improve user experience and recommendations.

The Principal Engineer for Data Infrastructure will manage database systems and data warehousing, optimizing performance and integrating new technologies in a fast-paced fintech environment.

Develop and maintain connector plugins for search products, debug issues, and ensure functionality in a collaborative SaaS environment. Focus on software quality and team contributions.

The Senior Python Engineer will lead a data infrastructure project, focusing on data aggregation, modelling, processing, and creating reliable data pipelines for a finance platform.

Design and maintain scalable data pipelines for cloud cost management, ensure data integrity, and enable financial decision-making across teams.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

The Senior Data Engineer will design, build, and maintain data pipelines on AWS, implement data lakes and warehouses, and foster collaboration with stakeholders for scalable data solutions.

Lead data engineering projects, collaborating with stakeholders to design and implement scalable data architecture and pipelines, ensuring data governance and quality.