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Lead Data Engineer

For this U.S.

based position, the expected compensation range is $98,400 - $147,600 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, jobrelated 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.

Schneider Electric is hiring a Data Engineer to support the development, maintenance, and enhancement of data delivery across the North America (NAM) Data Excellence platform.

This role drives improvements in data architecture, metric definitions, and processes that enable business data and analytics initiatives, while partnering closely with the Data Services team and business stakeholders.

Key Responsibilities
• Collaborate with team members to conceptualize, design, and deliver enterprise and departmental data solutions supporting business intelligence, data warehousing, reporting, and machine learning needs.
• Implement reliable, scalable solutions that meet service levels for mission-critical systems.
• Participate in and enhance DevOps practices to ensure high availability and rapid issue resolution.
• Translate business requirements into data pipelines and data stores.
• Conduct assessments and proof-of-concepts on emerging tools and technologies.
• Work with Data and Solution Architects to define and execute migration strategies from legacy systems to cloud technologies.
• Provide feedback to improve the delivery and performance of team solutions.

Education
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.

Required Qualifications
• 3+ years of experience with modern programming languages such as Python, Scala, or Java.
• 3+ years of experience developing data solutions on cloud platforms such ...




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