Top Data Engineer Jobs in Brazil

As a Staff Data Engineer at IonQ, you will design and maintain data pipelines, collaborate on improvements with interdisciplinary teams, and mentor others.

Design and maintain scalable data pipelines, ensuring accurate delivery and governance of data across the organization while collaborating with cross-functional teams.

The Data Engineer will architect and maintain a data warehouse, optimize ETL processes, ensure data governance, and collaborate with stakeholders for data-driven decision making.

OptionMetrics seeks a Data Operations Engineer responsible for managing and improving data analytics processes to support financial decision-making for clients.

Responsible for designing, developing, and maintaining data pipelines, ensuring optimized data flow to support CVS Health's data-driven decisions and infrastructure.

The Data Compliance Engineer implements technical compliance controls for healthcare data, develops automated compliance frameworks, and ensures regulatory adherence across clinical and research environments.

The Lead Data IRIS Engineer will develop and manage data pipelines, work with analytical partners, and support healthcare data integration using various standards.

Lead Data Engineer to design and develop data structures and pipelines, enabling data integration and analysis. Collaborate with teams for advanced analytics.

Responsible for IT strategy and solutions in R&D, overseeing system integration, stakeholder collaboration, and project prioritization at Zoetis.

The Sr. Data Engineer will build and optimize data pipelines, support data strategies, and leverage AI tools, with a focus on software engineering best practices.

Seeking an experienced Data Engineer with strong expertise in Snowflake to transform and migrate data into a Snowflake data warehouse while collaborating with teams to ensure accuracy of data pipelines.

Data & Analytics Engineer at MojoTech, working with clients to define data requirements and deliver analytics solutions and pipelines. Requires 3+ years experience.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Data Engineer, you'll design and maintain data pipelines, ensuring data integrity while optimizing performance and collaborating with teams to deliver data-driven solutions.

As a Senior Data Engineer, you'll develop ETL pipelines, optimize API integrations, and architect data models to support Proscia's Real World Data initiatives in healthcare.

The Data Engineer will build scalable data pipelines, ensure data quality, and collaborate with teams for analytics and ML products.

Lead the design and implementation of a modern data architecture, manage ETL pipelines, ensure data quality, and collaborate with cross-functional teams.

As a Software Engineer on the Data Engineering team, you'll develop and maintain systems for managing data, build pipelines and mentor junior engineers while collaborating across departments.

The Sr. Data Engineer will design and maintain data pipelines, optimize data jobs, and collaborate with teams to build scalable data solutions using AWS services.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

Develop data pipelines and tools supporting analytics and machine learning, collaborating across departments to improve data access and governance, while leading ETL processes and mentoring junior team members.

The Principal ML Engineer will build scalable machine learning models, develop web applications, and provide consulting services to drive data-driven decisions.