Senior Data Engineer

Stefanini Brasil

. Build and enhance modern data platforms, scalable pipelines, and artificial intelligence solutions .

Posted 9/29/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and enhancing data platforms, scalable data pipelines, and artificial intelligence solutions, with a strong focus on cloud environments and data governance. Proficient in Python, SQL, and distributed processing technologies, ensuring high performance and quality in data engineering projects.

Highest-signal resume keywords

Data EngineeringPythonSQLApache SparkCloud Environments

ATS Keywords

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Hard Skills

Data Pipeline DevelopmentData ArchitectureData IngestionData TransformationData IntegrationData DeliveryDistributed ProcessingData LakesData WarehousesMLOps

Soft Skills

MentoringCollaboration

Tools & Technologies

AWSGoogle CloudAzureAirflowDagsterDatabricksDbtKafka

Certifications & Qualifications

Cloud TechnologiesDatabricksData Engineering

Industry Keywords

Artificial IntelligenceMachine LearningData GovernanceObservabilityCI/CD Practices

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudKafkaOpen SourcePythonSparkSQL

About the role

Key responsibilities & impact

Build and enhance modern data platforms, scalable pipelines, and artificial intelligence solutions
Design, develop, and maintain batch and streaming data pipelines
Build and evolve data architectures in cloud environments
Work with large volumes of data, ensuring scalability, performance, and quality
Develop data ingestion, transformation, integration, and delivery processes
Support Data Science, Machine Learning, and Artificial Intelligence projects
Participate in defining architecture, governance, security, and observability standards
Contribute to the modernization and migration of data platforms
Collaborate with Engineering, Product, Data Science, and business teams
Mentor junior professionals and contribute to the team’s technical growth
Investigate performance, reliability, and quality issues in data environments

Requirements

What you’ll need

Solid experience in Data Engineering
Proficiency in Python and SQL
Experience building scalable data pipelines and architectures
Knowledge of distributed processing, especially Apache Spark
Experience with cloud environments such as AWS, Google Cloud, or Azure
Knowledge of relational and non-relational databases
Experience with Data Lakes, Data Warehouses, or Lakehouses
Experience with orchestration tools such as Airflow, Dagster, or similar technologies
Knowledge of CI/CD practices, version control, and infrastructure as code
Familiarity with data monitoring, observability, quality, and governance
Preferred: experience with Databricks, dbt, Kafka, or similar technologies
Preferred: experience working on Machine Learning, GenAI, or AI agent-based systems projects
Preferred: experience with data-driven solution architecture and AI products
Preferred: knowledge of MLOps, LLMOps, or AI application observability
Preferred: certifications in cloud technologies, Databricks, or Data Engineering
Preferred: participation in open-source projects, a technical portfolio, or personal technology initiatives
Preferred: advanced English proficiency

Benefits

Comp & perks

Meal allowance or food allowance
Discounts on courses, universities, and language schools
Stefanini Academy — a platform offering free, up-to-date online courses with certificates
Mentoring
Benefits club offering discounts on medical consultations and examinations
Health insurance
Dental insurance
Benefits and discounts at leading establishments
Travel club
Pet care benefits