Expert, Data Platforms Engineer

For this U.S.

based position, the expected compensation range is $114,400 - $171,600 per year, which
includes base pay and short-term incentive.

The compensation range for this full-time position applies to candidates located within the United
States.

Our salary ranges are determined by reviewing roles of similar responsibility and level.

Within
the salary range, individual pay is determined by several factors including performance, knowledge, job related skills, experience, and relevant education or training.

Schneider Electric also offers a
comprehensive benefits package to support our employees, inclusive of medical (with member reward
points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits)
flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including
service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the
first year of employment based on start date), opportunity to purchase company stock (eligibility
depends on start date), and military leave benefits.

You must submit an online application to be considered for the position.

The Company will accept
applications on an ongoing basis until the position is filled.

If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S.,
please notify the Company as soon as possible upon discovery by completing this form Job Posting
Compliance Form.

Join Schneider Electric and help us power a sustainable future through data.

As a Data Engineer within our Data Platforms organization, you'll play a critical role in designing and delivering advanced data solutions that enable trusted analytics and AI across the enterprise.

You will collaborate with business stakeholders, solution architects, and global technology teams to create efficient, scalable data flows while ensuring strong data governance practices.

Your expertise will help transform raw data into actionable insights that drive innovation and smarter decisions for our customers and the planet.

Job Description



* Design, develop and engineer data lake by data source identification, data extraction, data modelling, data store design and governance


* Develop data flows to ingest and transform both structured and unstructured data using warehousing and big data methodologies and tools to build refined and aggregated data assets for business intelligence and AI enablement.


* Implement efficient patterns for data storage, partitioning, semantic layer and metadata structures to enable consumption of data as a product.


* Implement automation capabilities to enable governance features for data privacy and protection, data inventory and cataloguing, authorization and data security.


* Implement enhanced observability, cost management and reporting strategies for data engineering operations.


* Build relevant integration testing and quality assurance...