3M Data Engineer 

United States, Minnesota 

997328173

The Impact You’ll Make in this Role

As a Data Engineer, you will have the opportunity to design and support an Enterprise Data Mesh to empower informatics and digital technologies for users across the globe:

• Design, and build scalable, efficient, and fault-tolerant data operations.

• Collaborate with senior technical leads, analysts, engineers, and scientists to implement new mesh domain nodes and data initiatives.

• Implement the technical architecture for accelerated solution designs, including data integration, modeling, governance, and applications.

• Explore and recommend new tools and technologies to optimize the data platform.

• Improve and implement data engineering and analytics engineering best practices.

• Collaborate with data engineering and domain nodes teams to design physical data models and mappings.

• Work with scientists and informaticians to develop advanced digital solutions and promote digital transformation and technologies.

• Develop and maintain scalable data pipelines for ingesting, transforming, and distributing data streams.

• Advise and mentor 3M businesses, data scientists, and data consumers on data standards, pipeline development, and data consumption.

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Bachelor’s degree or higher (completed and verified prior to start) from an accredited university.

• Six (6) years of professional experience in data warehouse/lakehouse and pipeline design and development in a private, public, government or military environment

• Completely proficient in advanced SQL, Python/PySpark/Scala (any object-oriented language concepts), ML Libraries

• Must have hands-on experience in Python to extract data from APIs, build data pipelines.

• Background in data engineering and data systems, and having comfort working with structured and unstructured data and analyses.

Additional qualifications that could help you succeed even further in this role include:

• Exposure to data and data types in the Materials science, chemistry, computational chemistry, physics space a definite plus, but not required.

• Proficiency in developing on modern distributed cloud architecture and workloads (AWS, Databricks preferred).

• Proficiency in building data pipelines to integrate business applications and procedures.

• Solid understanding preferred of advanced Databricks concepts like Delta Lake, MLFlow, Advanced Notebook Features, Custom Libraries and Workflows, Unity Catalog, etc.

• Experience with AWS cloud computing services and infrastructure developing data lakes and data pipelines leveraging multiple technologies such as AWS S3, AWS Glue, Elastic MapReduce, etc. and awareness of considerations for building scalable, distributed computational systems on Spark.

• Experience with stream-processing systems: Amazon Kinesis, Spark, Storm, Kafka, etc.

• Hands-on experience with relational SQL and NoSQL databases.

• Data quality and validation principles experience, security principles data encryption, access control, authentication & authorization.

• Deep experience in definition and implementation of feature engineering.

• Experience with Docker containers and Kubernetes, experience developing or interacting with APIs.

• Experience in using data orchestration workflows using open-source tools like Temporal.io, Apache Airflow is a plus.

• Knowledge of data visualization tools like Dash Apps, Tableau, Power BI, etc.

• Good experience with agile development processes and concepts with leveraging project management tools like JIRA and Confluence.

• Devise and implement data engineering best practices across teams, optimize and redesign existing data engineering solutions to improve efficiency or stability, as well as monitoring of and consulting with domain node teams.

• Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations with matrixed teams.

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.

Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.