Expert, Data 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 will play a critical role specifically within our Data Distribution Center.

This team is responsible for making enterprise analytics data securely discoverable, scalable, governed, and performant for consumption across the business, including BI and AI use cases.
What You Will Do


* Design, build, and operate scalable and secure analytical data platforms with a strong focus on AWS Redshift.


* Architect Redshift environments (serverless and provisioned), including decisions around cost, scalability, performance, and workload patterns.


* Optimize Redshift performance through query tuning, distribution styles, sort keys, workload management, and capacity planning.


* Implement monitoring and observability using AWS CloudWatch and related tooling to proactively manage performance and reliability.


* Enable governed data access through data cataloging, role-based access, audits, and security controls.


* Work closely with data processing, ingestion, and architecture teams to support the medallion (bronze/silver/gold) architecture, with emphasis on the gold layer.


* Apply data governance practices using AWS Lake Formation, IAM, and related services.


* Develop and maintain Python-based automation and infrastructure-as-code (Terraform) to support platform operations.


* Support ongoing operations of the Data ...