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Job Description:
Collaborate with Innovative 3Mers Around the World
Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies and products, 3M is a place where you can collaborate with 93,000 other curious, creative 3Mers.
The Impact You’ll Make in this Role
3M is seeking a Senior Data Engineer to join Corporate Research Digital Platforms (CRDP) to design, build, and operate scalable data pipelines and data products within a modern cloud-based Lakehouse platform.
In this role, you will contribute to the development of data pipelines, data products, and AI-enabled workflows, supporting analytics, informatics, and emerging AI-driven use cases across research and business domains. You will work within a platform that integrates Databricks, DataHub, Temporal workflows, and AWS infrastructure, enabling reliable and scalable data and AI operations.
You will collaborate closely with Data Engineers, Platform Engineers, Backend/Temporal Engineers, and Governance teams to deliver high-quality, production-grade data solutions that are reliable, scalable, and aligned with platform standards.
In this role, you will have the opportunity to:
Design, build, and maintain scalable data pipelines for structured and unstructured data, supporting analytics, AI, GenAI, and agentic workflows.
Develop batch and streaming pipelines using modern cloud data platforms, with a strong focus on Databricks, Delta Lake, and AWS.
Optimize data pipelines for performance, scalability, reliability, observability, and cost efficiency.
Support modern Lakehouse architecture by integrating pipelines with platform services such as DataHub, Temporal, metadata, orchestration, and cloud infrastructure.
Enable AI and GenAI use cases by preparing data for feature engineering, document ingestion, structured data extraction, LLM workflows, vector search, and downstream AI services.
Build and maintain logical and physical data models aligned with business, analytics, machine learning, and AI requirements.
Implement data quality checks, validation rules, monitoring, lineage, cataloging, and governance standards.
Collaborate with Platform Engineering, Governance, Backend, AI, and Reliability teams to deliver well-integrated and production-ready data solutions.
Apply software engineering best practices, including modular design, testing, version control, CI/CD, infrastructure-as-code, and code reviews.
Monitor production pipelines, troubleshoot operational issues, support root cause analysis, and contribute to continuous improvements in platform stability.
Promote reusable patterns, frameworks, and pipeline components to improve engineering efficiency across teams.
Work in a modern data environment where cloud, Lakehouse, automation, and AI come together to deliver scalable data products.
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires the following qualifications:
Bachelor’s degree or higher in Computer Science, Engineering, or related field.
Senior experience in data engineering, data platforms, or related roles.
Strong proficiency in SQL and Python.
Hands-on experience building scalable data pipelines and data processing workflows.
Experience working with distributed processing systems such as Apache Spark.
Experience with modern cloud data platforms - Databricks or similar.
Experience working with cloud platforms such as AWS (S3, Glue, etc.).
Understanding of data modeling, data transformation, and data warehousing concepts.
Experience working in cross-functional engineering environments.
Proficiency in English.
Additional qualifications that could help you succeed even further in this role include:
Experience with Delta Lake, Unity Catalog, and Lakehouse architectures.
Familiarity with metadata and catalog systems such as DataHub.
Experience with workflow orchestration tools (Temporal, Airflow, Step Functions).
Experience with PySpark.
Experience supporting AI/ML use cases, including feature engineering and dataset preparation.
Familiarity with LLM-based applications, vector databases, or GenAI pipelines.
Experience with streaming technologies (Kafka, Kinesis, Spark Streaming).
Exposure to CI/CD pipelines and infrastructure-as-code concepts.
Experience with APIs and event-driven architectures.
Understanding of data governance principles including lineage, cataloging, and access control.
Work location:
This role follows an on-site working model, requiring the employee to work at least four days a week in Sumaré/SP.
Supporting Your Well-being
3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
Chat with Max
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.
Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.A 3M é um empregador que oferece oportunidades iguais à todos. A 3M não discriminará nenhum candidato baseado em sua raça, cor, idade, religião, gênero, orientação sexual, identidade ou expressão de gênero, nacionalidade ou deficiência.Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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